NewzIntel.com

Category: Artificial Intelligence

  • MIL-OSI USA: Governor Newsom continues supporting Los Angeles business, fire recovery workers with funding, educational workplace safety outreach

    Source: US State of California 2

    Mar 18, 2025

    What you need to know: Governor Newsom and Los Angeles community-based organizations (CBOs) today announced $25 million to advance educational outreach to workers and businesses about vital health, safety, and workplace protections.

    LOS ANGELES — As rebuilding in the Los Angeles area continues at record speed, Governor Gavin Newsom announced the state is awarding $25 million and strengthening partnerships with local communities to ensure fire recovery workers and businesses have access to additional workplace safety information through a California Workplace Outreach Project (CWOP).

    “We’re helping ensure that brave fire recovery workers and businesses have vital workplace safety information.”

    Governor Gavin Newsom

    California Labor & Workforce Development Agency (LWDA), Department of Industrial Relations (DIR), California Division of Occupational Safety and Health (Cal/OSHA), California State Labor Commissioner, and representatives from Los Angeles Community Based Organizations (CBOs) will issue $25 million in funding for the CWOP to support 89 community-based organizations across the state.

    CWOP is a DIR partnership with CBOs to provide critical information about workplace protections, labor rights, and health and safety measures for workers in high-risk industries. The outreach work will help notify workers and businesses about vital health and safety protections, hazard prevention, and other worker protections for people and businesses helping Los Angeles cleanup and rebuild.

    Today’s actions build on multiple efforts across the state to support workers and businesses who are helping the Los Angeles community recover and rebuild.

    And California has worked with local communities and federal and local providers to help businesses and workers in many ways, including:

    • Supporting workers and employers: The Employment Development Department (EDD) supports workers with unemployment, disability insurance, or Paid Family Leave benefits, including Disaster Unemployment Assistance (DUA) for those who do not qualify for regular unemployment benefits. The Governor took action to extend payroll tax deadlines and reporting requirements—a move that has helped thousands of businesses in the Los Angeles area. Employers can request a 60-day extension on payroll reports and taxes, or participate in the Work Sharing program.
    • On-the-ground advisors for small businesses: Over 200 business advisors from Small Business Support Centers help answer questions about economic recovery, loan application processes, insurance, employee and workforce support, and business planning. 
    • Providing resources for recovery: CalOSBA launched a Resource Guide for small businesses impacted by the wildfires through its Outsmart Disaster website.
    • Financial assistance for businesses: The California Infrastructure and Economic Development Bank (IBank) loan programs help businesses from one to 750 employees affected by the LA wildfires. Disaster Relief Loan Guarantee Program (DRLGP) issues loan guarantees up to 95%.  
    • Expediting contractor licensing: The Contractor State Licensing Board (CSLB) is rapidly processing licensing applications to continue expediting efforts to rebuild homes and businesses. 
    • Helping fire survivors rebuild safely: CSLB is also partnering with state agencies to promote California-licensed contractors for repairs or to rebuild their homes or businesses. CSLB’s Disaster Hotline 1-800-962-1125 and online Disaster Help Center also provided valuable support to survivors.
    • Protecting against unlicensed contractors: Investigation teams notified the public that it is a felony to contract without a license in a California disaster area, urged consumers to always check licenses before hiring a contractor, and recommended reporting any unlicensed activity immediately by filing complaints at www2.cslb.ca.gov.
    • Helping licensees rebuild their businesses: The Board of Barbering and Cosmetology, the Board of Accountancy, and other DCA boards rescheduled licensing examinations at no charge and are issuing duplicate licenses for original licenses lost in the fires.
    • Governor Newsom also issued multiple executive orders to help speed rebuilding and recovery, create more temporary housing, and protect survivors.

    Press Releases, Recent News

    Recent news

    Mar 18, 2025

    News What you need to know: With the release of a new draft working report by leading artificial intelligence experts, California continues to lead in advocating for the responsible use of emerging AI technology and the study of its impacts and opportunities.  SAN…

    Mar 17, 2025

    News SACRAMENTO – Governor Gavin Newsom issued the following statement regarding the death of San Bernardino County Sheriff’s Deputy Hector Cuevas Jr.:“Jennifer and I are deeply saddened by the tragic loss of Deputy Cuevas. Our heartfelt condolences go out to his…

    Mar 17, 2025

    News Lo que necesita saber: California tiene un nuevo compañero en Sonora, México para impulsar el desarrollo de recursos energéticos renovables, la resiliencia de la cadena de suministro y el transporte limpio. To read this release in English, click here. Sacramento,…

    MIL OSI USA News –

  • MIL-OSI USA: California strengthens its position as the global AI leader with new working report issued by experts and academics

    Source: US State of California 2

    Mar 18, 2025

    What you need to know: With the release of a new draft working report by leading artificial intelligence experts, California continues to lead in advocating for the responsible use of emerging AI technology and the study of its impacts and opportunities. 

    SAN FRANCISCO – California’s leadership in the AI industry is helping to guide the world in the responsible implementation and use of this emerging technology. Today, a group of world-leading AI academics and experts, convened at the request of Governor Newsom, released a new draft report on workable guardrails based on an empirical, science-based analysis of the capabilities and attendant risks of frontier models — which will help pave the way for the use of AI for the benefit of all Californians. 

    “The future happens in California first – including the development of powerful AI technology. As home to over half of the world’s top AI companies, our state carries a unique responsibility in leading the safe advancement of this industry in a way that improves our communities, maintains our economic dominance, and ensures that this fast-moving technology benefits the public good.” 

    Governor Gavin Newsom

    AI is already changing the world, and California will play a pivotal role in defining that future. As the fifth-largest economy in the world and the birthplace of the tech industry, California continues to dominate this sector as the leader in AI. The state is home to 32 of the 50 top AI companies worldwide. In addition to championing responsible use of this emerging industry, California is harnessing its potential to increase efficiency and support state operations.  

    Studying AI’s risk and opportunities 

    Today’s working report is a result of the Governor’s convening of leading experts on artificial intelligence and policy to help California develop workable guardrails for deploying generative AI (GenAI), focusing on developing an empirical, science-based trajectory analysis of frontier models and their capabilities and attendant risks. Authors include the  “godmother of AI,” Dr. Fei-Fei Li, Professor of Computer Science at Stanford University and Founding Co-Director of Stanford’s Human-Centered AI Institute;  Mariano-Florentino “Tino” Cuéllar, President of the Carnegie Endowment for International Peace and member of the National Academy of Sciences Committee on Social and Ethical Implications of Computing Research; and Dr. Jennifer Tour Chayes, Dean of the College of Computing, Data Science, and Society at UC Berkeley.

    The working report includes recommendations on ensuring evidence-based policymaking, balancing the need for transparency with considerations such as security risks, and determining the appropriate level of regulation in this fast-evolving field.  As a working white paper, the authors invite public participation. Academics, experts, and other stakeholders can submit comments or suggestions regarding their recommendations here. 

    California’s AI global leadership 

    California has launched efforts to help the state take advantage of this emerging technology, while also creating responsible policy guardrails to protect Californians, businesses, and workers. In 2023, Governor Newsom signed an executive order laying out California’s measured approach to state GenAI procurement. That EO has shaped the future of ethical, transparent, and trustworthy GenAI deployment, all while California remains the world’s GenAI leader. 

    Harnessing the power of AI

    In 2024, Governor Newsom announced the state’s efforts to help utilize GenAI technologies to solve challenges, everything from reducing traffic to helping address homelessness.

    Governor Newsom also co-hosted a GenAI summit in May 2024 with leaders across academia, industry, civil society, and government to discuss how the state can best use this transformative technology on behalf of Californians.  

    First-of-its-kind effort with NVIDIA 

    In August 2024, the state partnered with NVIDIA to launch a first-of-its-kind AI collaboration. The initiative, signed by Governor Gavin Newsom and NVIDIA founder & CEO Jensen Huang, aims to:

    • Train students, educators and workers
    • Support job creation and promote innovation
    • Use AI to solve challenges that can improve the lives of Californians

    Among other goals, it strives to bring new AI resources into community colleges from NVIDIA – including curriculum and certifications, hardware and software, AI labs and workshops, and more – to open new pathways for students, educators, and workers to learn new skills and advance their careers.

    Staying ahead of threats 

    Last year, Governor Newsom also signed a series of bills to crack down on sexually explicit deepfakes and require AI watermarking, protect performers’ digital likenesses, and combat deepfake election content. 

    Press Releases, Recent News

    Recent news

    Mar 17, 2025

    News SACRAMENTO – Governor Gavin Newsom issued the following statement regarding the death of San Bernardino County Sheriff’s Deputy Hector Cuevas Jr.:“Jennifer and I are deeply saddened by the tragic loss of Deputy Cuevas. Our heartfelt condolences go out to his…

    Mar 17, 2025

    News Lo que necesita saber: California tiene un nuevo compañero en Sonora, México para impulsar el desarrollo de recursos energéticos renovables, la resiliencia de la cadena de suministro y el transporte limpio. To read this release in English, click here. Sacramento,…

    Mar 17, 2025

    News What you need to know: California has a new partner in Sonora, Mexico to boost the development of renewable energy resources, supply chain resilience, and clean transportation. Para leer este comunicado en español, haga clic aquí. Sacramento, California –…

    MIL OSI USA News –

  • MIL-OSI Europe: Answer to a written question – Training European AI in the health field – E-002742/2024(ASW)

    Source: European Parliament

    In its decision referred to by the Honourable Member, the Conseil d’État acknowledges that the health data concerned will be hosted in data centres located in the EU and that no transfers of health data to a third country are foreseen.

    The necessity and proportionality safeguards, put in place by Executive Order 14086[1] in the context of the EU-US Data Privacy Framework (DPF), apply to surveillance under Section 702 of the Foreign Intelligence Surveillance Act (FISA)[2].

    Those safeguards and the reauthorisation of FISA Section 702 have recently been assessed in the first DPF review report and are continuously monitored by the Commission[3].

    Transfers of personal data to third countries outside the European Economic Area may only be carried out in compliance with the rules laid down in the General Data Protection Regulation[4].

    In upcoming initiatives on data use and storage, such as the Data Union Strategy and the Cloud and Artificial Intelligence (AI) Development Act, the Commission will aim at strengthening the position of Europe’s cloud industry and preventing any misuse of our most sensitive data[5].

    The Commission is supporting the development of infrastructure to foster innovation and the deployment of digital technologies in health and care allowing for the development and testing of AI-based technologies for diagnosis and treatment.

    The Commission has also put forward the European Health Data Space[6], to support the development of AI by ensuring that electronic health data can be made available for purposes of ‘scientific research related to health or care sectors […] including in […] AI systems’[7] under relevant safeguards[8].

    • [1] Executive Order on ‘Enhancing Safeguards for United States Signals Intelligence Activities’ — https://www.govinfo.gov/content/pkg/FR-2022-10-14/pdf/2022-22531.pdf
    • [2] See recitals 124 and 125 of Commission Implementing Decision EU 2023/1795 of 10 July 2023 pursuant to Regulation (EU) 2016/679 of the European Parliament and of the Council on the adequate level of protection of personal data under the EU-US Data Privacy Framework; 50 US Code §1881a.
    • [3] Commission r eport of 9 October 2024 to the European Parliament and the Council on the first periodic review of the functioning of the adequacy decision on the EU-US Data Privacy Framework, COM(2024) 451 final. It is further recalled that under the GDPR, all adequacy decisions are subject to continuous monitoring and all the necessary tools are in place to react to any possible developments. In particular, the Commission has the power to suspend, amend or repeal the adequacy decision if it concludes that the required level of protection is no longer ensured (see Article 3(5) of Commission Implementing Decision EU 2023/1795 and Article 45(5) GDPR.
    • [4] Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation); OJ L 119, 04/05/2016, p. 1-88.
    • [5] Communication from the Commission to the European Parliament, the European Council, the Council, the European Economic and Social Committee and the Committee of the Regions — A Competitiveness Compass For The EU, 29 January 2025, COM(2025) 30 final — https://commission.europa.eu/document/download/10017eb1-4722-4333-add2-e0ed18105a34_en
    • [6] https://oeil.secure.europarl.europa.eu/oeil/en/procedure-file?reference=2022/0140(COD) On 21 January 2025 the Act was adopted by Council after Parliament’s 1st reading. On 11 February 2025 the final Act was signed.
    • [7] Article 53(1), point (e)  European Health Data Space (EHDS).
    • [8] It is worth further noting that s everal actions are funded and will continue to be funded under Horizon Europe, Digital Europe and EU4Health, to enable AI-driven breakthroughs in biomedical research and clinical care. This includes disease prevention, which is one of the priorities of this Commission.
    Last updated: 18 March 2025

    MIL OSI Europe News –

  • MIL-OSI Asia-Pac: Ministry of Electronics and Information Technology (MeitY) and Drone Federation India launch National Innovation Challenge for Drone Research (NIDAR) under SwaYaan initiative

    Source: Government of India (2)

    Ministry of Electronics and Information Technology (MeitY) and Drone Federation India launch National Innovation Challenge for Drone Research (NIDAR) under SwaYaan initiative

    NIDAR Launch Boosts Talent, R&D, and Skill Development in India’s Growing Drone Ecosystem

    NIDAR offers INR 40 lakhs prize pool and startup incubation, cloud Credits, software support and internship opportunities for student teams

    Posted On: 18 MAR 2025 8:56PM by PIB Delhi

    The Ministry of Electronics and Information Technology (MeitY), in collaboration with the Drone Federation India (DFI), launched the National Innovation Challenge for Drone Application and Research (NIDAR) under the ‘SwaYaan – Capacity Building for Human Resource Development in Unmanned Aircraft Systems’ initiative. The event was held at Electronics Niketan, MeitY government representatives, industry experts, and students from across the nation through online video-conferencing mode.

    The challenge was formally inaugurated by Shri S. Krishnan, Secretary, MeitY, who unveiled the official concept video, launched the website and registration portal (https://nidar.org.in)and released the NIDAR Poster and RuleBook. In his address, Shri Krishnan emphasized the pivotal role of drones in transforming various sectors such as agriculture, disaster management, logistics, healthcare, and infrastructure and the need for taking the NIDAR program at a larger scale to contribute to India’s vision of becoming a global drone hub by 2030.

    Prof. T. G. Sitharam, Chairman, AICTE highlighted the need for taking the NIDAR challenges to engineering colleges across the country. He emphasized that academic institutions, startups and industries need to collaborate. He highlighted the need for innovative collaboration and leading the way in drone technology.

    NIDAR under the project SwaYaan aims to inspire and engage India’s student and research communities to develop collaborative autonomous drones, addressing real-world challenges across two critical domains:

    • Disaster Management (Scout & Deliver Drones): Identifying and assisting survivors in disaster-affected areas using autonomous drones for scouting, communication, and parcel delivery.
    • Precision Agriculture (Scan & Spray Drones): Enhancing productivity and sustainability in agriculture through targeted interventions like crop health monitoring and precise pesticide/nutrient delivery.

    The challenge offers a total prize pool of INR 40 Lakhs along with opportunities for startup incubation, cloud credits, software support, and internships with India’s leading drone companies. Over 100 student teams from higher education institutions across the country are expected to participate, presenting innovative solutions aimed at addressing pressing challenges in agriculture and disaster response.

    The initiative is part of the Government of India’s broader effort to enhance entrepreneurship in academia and encourage applied research in drone technology. The Drone Federation India (DFI), a premier industry body representing over 550 drone companies and 5500 drone pilots, will support participating students by providing mentorship and industry exposure.

    The competition will be conducted in multiple phases, including technology presentation, business case presentation, and final operations, ensuring a comprehensive evaluation of students’ technical and entrepreneurial capabilities.

    The event also featured participation from distinguished industry leaders besides students and professors from higher education colleges and technical institutions. Over 100 student teams from these institutions are expected to participate in this competition to build two collaborative autonomous drones for solving image-based detection and autonomous delivery.

    The launch of NIDAR marks a significant step towards nurturing talent and promoting research & development in India’s rapidly growing drone ecosystem. The competition is expected to enhance technical proficiency, problem-solving abilities, teamwork, and project management skills among participants, preparing them for impactful careers in emerging technology domains.

    About SwaYaan

    Capacity Building for Human Resource Development in Unmanned Aircraft Systems (Drone & Allied Technologies)

    The SwaYaan initiative, approved by MeitY in July, 2022, focuses on capacity building for human resource development in Unmanned Aircraft Systems (UAS), including drones and related technologies. The project aims to train 42,560 participants, combining both formal and non-formal educational programs to create a skilled workforce in drone technology. The initiative is implemented through a hub-and-spoke model involving 30 premium institutions like IISc, IITs, IIITs, NITs, CDAC, and NIELIT. Five key work themes guide the project—Drone Electronics, GNC Algorithms Simulation, Aeromechanics, Drone Applications, and Allied UAS Technologies—ensuring specialized focus areas. To date, over 14,000 beneficiaries have been trained. Notable achievements include the launch of an M.Tech. in UAS Engineering at IIT Kanpur, initiation of multiple minor degree programs, and successful conduction of numerous bootcamps and workshops. SwaYaan engages industry partners through innovation challenges and industry meets, reinforcing the link between academic training and real-world application in drone technology. For further details, refer to https://swayaan.meity.gov.in)

    *****

    Dharmendra Tewari/ Navin Sreejith/ Shatrunjay Kumar

    (Release ID: 2112555) Visitor Counter : 46

    MIL OSI Asia Pacific News –

  • MIL-OSI Asia-Pac: LOK SABHA SECRETARIAT AND MEITY SIGN MoU TO LAUNCH ‘SANSAD BHASHINI’ FOR AI-POWERED MULTILINGUAL PARLIAMENTARY OPERATIONS

    Source: Government of India (2)

    LOK SABHA SECRETARIAT AND MEITY SIGN MoU TO LAUNCH ‘SANSAD BHASHINI’ FOR AI-POWERED MULTILINGUAL PARLIAMENTARY OPERATIONS

    SANSAD BHASHINI INITIATIVE TO REVOLUTIONIZE PARLIAMENTARY DOCUMENTATION AND ACCESSIBILITY THROUGH AI AND REAL-TIME TRANSLATIONS

    THE INITIATIVE WILL ENABLE MPs, RESEARCHERS AND ACADEMIA TO ACCESS VAST ARCHIVE OF PARLIAMENTARY DEBATES AND RECORDS IN MULTIPLE LANGUAGES

    Posted On: 18 MAR 2025 8:42PM by PIB Delhi

    An MoU was signed between Lok Sabha Secretariat and Ministry of Electronics and Information Technology (MEITY) for the development of Sansad AI solution in the presence of Lok Sabha Speaker Shri Om Birla and Union Minister for MEITY, Shri Ashwini Vaishnaw. The SANSAD BHASHINI initiative is envisioned to provide comprehensive In-House AI solutions for multilingual support and streamlined processes in parliamentary operations. 

     Lok Sabha Secretariat and MEITY have agreed to integrate and collaboratively develop products/tools leveraging the Parliamentary corpus of data. Parliamentary data and resources, provided by Sansad, will be used for learning and fine-tuning the AI tools/products. Meanwhile, translation capabilities and other technical expertise will be contributed by Bhashini. 

     The key AI Initiatives under Sansad Bhashini are : 1. AI-Based Translation • Seamless translation of legacy debate documents, agenda files, committee meetings, and other parliamentary content into regional languages. • Ensuring linguistic diversity and accessibility for all citizens. 

     2. AI-Powered Chatbot for Parliament Website • A state-of-the-art interactive chatbot that will assist members and officials in retrieving critical procedural rules and documents. • Users will be able to receive instant, accurate responses, reducing time spent searching for crucial parliamentary rules and practices. • The chatbot will continuously learn and improve through user interactions, enhancing its efficiency over time. 3. Speech-to-Text Conversion & Live Interpretation • A revolutionary system that will convert spoken debates into text with real-time transcription. • This feature will be available in Indian languages, ensuring that debates are easily recorded, accessed, and referenced. • It will also include background noise reduction, customizable vocabulary, and efficient documentation tools for improved accuracy. 

    4. Speech-to-Speech Conversion with Real-Time Transcription • This initiative will enable real-time speech conversion and translation, ensuring that discussions and debates are instantly available in different languages. • Automatic summarization of lengthy discussions will facilitate quicker decision-making and improved record-keeping.  

    The Union Minister for MEITY, Shri Ashwini Vaishnaw, who was present on the occasion, thanked the Lok Sabha Speaker Shri Om Birla for his leadership and guidance for the initiative and hoped that this initiative would transform parliamentary processes through cutting-edge AI solutions. He expressed confidence that ’Sansad Bhashini’ would enhance multilingual accessibility, streamline legislative documentation, and strengthen India’s position in technology-driven governance. 

    Shri Utpal Kumar Singh, Secretary-General, Lok Sabha was present on the occasion. Shri Gaurav Goyal, Joint Secretary, Lok Sabha Secretarriat signed the MoU on behalf of Lok Sabha Secretariat.

    *********

    AM

    (Release ID: 2112542) Visitor Counter : 57

    MIL OSI Asia Pacific News –

  • MIL-OSI Asia-Pac: UIDAI partners with indigenous GenAI Company Sarvam AI to enhance user experience of Aadhaar services

    Source: Government of India

    UIDAI partners with indigenous GenAI Company Sarvam AI to enhance user experience of Aadhaar services

    Aadhaar Services to get AI-Powered Voice Interactions, Fraud Detection, and Multilingual Support

    Posted On: 18 MAR 2025 7:42PM by PIB Delhi

    The Unique Identification Authority of India (UIDAI) has partnered with Bengaluru based Sarvam AI, an indigenous  full-stack Generative AI (GenAI) company to enhance user experience, while availing Aadhaar services.

     

    AI-Powered Voice-Based Interactions

    With the agreement coming into effect from 18th March, Sarvam will deploy the AI solution to perform voice-based interactions for resident-centric use cases.  This will help get near real-time feedback from Aadhaar number holders for their enrollment and update processes, including information on overcharging of residents (if any)

    Real-Time Fraud Alerts for Enhanced Security

    The agreement will also offer real-time fraud alerts to Aadhaar number holders in case the AI it spots anything suspicious during authentication requests.

    Multilingual AI Support for Wider Accessibility

    Keeping in mind the linguistic diversity, this new AI solution deployment will allow the voice interaction and fraud detection in 10 languages including Hindi, English, Telugu, Tamil, Marathi, Gujarati, Kannada, Odia, Punjabi and Malayalam. The language options will increase further in coming months.

    Commitment to User-Centric Innovation

    UIDAI has always kept Aadhaar number holders at the centre of its focus, and has been constantly working to upgrade technology and improve user experience, further. The fresh MoU is a step in that direction.

    Sarvam AI has delivered a custom GenAI stack, being hosted on-premise within an air-gapped UIDAI infrastructure. No data will leave UIDAI’s secure environment at any stage of operation, ensuring full compliance with data sovereignty and security protocols. The agreement will be initially valid for a period of one year and may be extended by one more year.

    The development of this innovative solution was made possible through UIDAI’s volunteer policy, which enables industry collaborations. Volunteers from Sarvam AI worked closely with the UIDAI’s Technology Centre in Bengaluru to develop and deploy the GenAI solution. The ownership of the solution will be with UIDAI.

    “UIDAI is a people centric organization. GenAI is the next technology evolution in UIDAI’s journey as a technology pioneer, building on our long-standing commitment to innovation for facilitating ease of living,” said Bhuvnesh Kumar, CEO, UIDAI.

    “We are privileged to collaborate with UIDAI. This engagement exemplifies the immense potential of AI to drive public good,” said Vivek Raghavan, Co-Founder of Sarvam AI.

    ****

    Dharmendra Tewari/Navin Sreejith

    (Release ID: 2112485) Visitor Counter : 47

    MIL OSI Asia Pacific News –

  • MIL-OSI Asia-Pac: Despite heavy rush, passenger demand & special trains during Holi, Diwali, Chhath, Summer and Maha Kumbh, Most Railway Divisions Maintain Over 90% Punctuality

    Source: Government of India

    Despite heavy rush, passenger demand & special trains during Holi, Diwali, Chhath, Summer and Maha Kumbh, Most Railway Divisions Maintain Over 90% Punctuality

    Holi Special Trains Surge from 241 in 2021-22 to 1,107 in 2024-25

    Total Number of Trains Operation Now Exceeds Pre-COVID Levels

    Under ‘Make in India’ and ‘Atmanirbhar Bharat,’ Indian Railways Exports Rolling Stock, Including Vande Bharat Components, to Africa, Latin America, and Southeast Asia

    Posted On: 18 MAR 2025 7:36PM by PIB Delhi

    Union Minister for Railways, Information & Broadcasting, and Electronics & IT, Shri Ashwini Vaishnaw, addressed the Lok Sabha today. He highlighted various aspects of Indian Railways, including infrastructure development, punctuality, environmental sustainability, exports, employment and financial position. He reaffirmed the government’s commitment to making Indian Railways a modern, efficient, and environmentally sustainable transport system, enhancing both passenger experience and economic growth.

    While speaking about punctuality of trains operation in the Lok Sabha today, the Union Railway Minister stated that Indian Railways has achieved an on-time performance of over 90% through the adoption of advanced signaling systems, real-time monitoring, AI-driven scheduling, and predictive maintenance. As highlighted by the Minister, out of 68 railway divisions, 49 have already surpassed 80% punctuality, while 12 divisions have impressively reached 95%. This enhanced efficiency has resulted in smoother train operations, benefiting both passengers and freight services. Currently, Indian Railways operates more than 13,000 passenger trains, including 4,111 Mail and Express trains, 3,313 Passenger trains, and 5,774 Suburban trains. Notably, the total number of trains in operation has now exceeded pre-COVID levels, reflecting the railway’s commitment to reliability and improved service delivery.

    To manage passenger demand during peak festive seasons, Indian Railway has operated a record number of special trains. Last year, during Holi, 604 special trains were operated to accommodate the surge in travelers. During the summer vacation period, around 13,000 special trains were introduced to facilitate smooth travel. Similarly, for Chhath and Diwali, 8,000 special trains were deployed. A remarkable effort was made during the Mahakumbh, with 17,330 special trains running to ensure seamless travel for devotees from across the country. This year, for Holi alone, 1,107 special trains have been arranged, reflecting the unwavering commitment of Indian Railways to passenger convenience and efficient travel management.

    The list of Special trains for Holi festival for the last four years.

    Year

    2021-22

    2022-23

    2023-24

    2024-25

    Holi spl No

    241

    527

    604

    1,107

    While talking about historic infrastructure expansion taking place across the railway network, the Minister emphasized the fulfillment of long-standing projects, such as connecting Jammu to Srinagar through engineering marvels like the Anji and Chenab bridges, with the latter standing 35 meters taller than the Eiffel Tower. With the completion of the CRS inspection and implementation of recommendations, train services between Jammu and Srinagar will soon commence. He also underscored the transformation of the Dedicated Freight Corridor, which has gone from being a mere proposal to an operational reality under the present government. Today, 350 freight trains run daily, reducing transit time from 24 to just 12 hours, significantly improving logistics. The Gati Shakti initiative has further bolstered freight operations, with 97 cargo terminals completed and 257 more under development. Tunnel construction in the railway network has seen a fourfold increase since 2014, with 460 km of new tunnels built, and innovations such as the Himalayan Tunneling Method and domestic production of Tunnel Boring Machines (TBMs) in Tamil Nadu showcasing India’s growing self-reliance in infrastructure technology.

    The Minister also highlighted the modernization of railway stations, with 129 stations already completed and many more to be operational by 2025-26 as part of the world’s largest station redevelopment program. Bridges across major rivers like the Ganga, Brahmaputra, and Kosi have been constructed, improving connectivity in key regions. The Northeast has witnessed unprecedented rail expansion, with new lines in Sikkim, Assam, Arunachal Pradesh, Nagaland, Manipur, Mizoram, and Tripura. Indian Railways has also taken steps to address waterlogging in underpasses through extensive corrective measures. Shri Vaishnaw reiterated the government’s commitment to equitable development, emphasizing record budget allocations for all states, in line with the Prime Minister’s vision of ‘Sabka Saath, Sabka Vikas.’ However, he pointed out challenges such as slow land acquisition in states like Kerala, Tamil Nadu, and West Bengal, which continue to hinder progress. He further highlighted the significant expansion of the Kolkata Metro, where 38 km of metro lines have been added in just a decade, compared to 28 km in the previous 42 years. He also emphasized on the ambitious Bullet Train project as a transformative step toward modern, high-speed rail connectivity, ensuring world-class infrastructure for future generations.

    In line with the government’s commitment to environmental sustainability, Indian Railways has taken several initiatives towards environmental sustainability with its ambitious goal of achieving Net Zero Carbon Emission (Scope 1) by 2025. Shri Ashwini Vaishnaw reiterated the government’s commitment to reducing carbon emissions through electrification, afforestation, and modal shift strategies. Net Zero for Indian Railways means offsetting or eliminating carbon emissions across various sectors, including railway traction, non-traction operations, vehicle fleets, and infrastructure such as Railway colonies and hospitals. A major step in this direction has been the transition from diesel to electric traction, with 97% of railway operations already electrified, and the remaining 3% nearing completion. To further support this goal, Indian Railways has undertaken massive afforestation efforts, planting 9 crore trees between 2014-15 and 2023-24, which contribute to offsetting 5 lakh tonnes of carbon emissions annually. Additionally, the shift from road to rail freight has led to an emission reduction of 17 lakh tonnes between 2021-22 and 2023-24. With projected emissions for 2024-25 estimated at 20 lakh tonnes and available offsets reaching 22 lakh tonnes, Indian Railways is well-positioned to meet its Net Zero target ahead of schedule. Beyond direct emissions, the railway is also shifting to non-fossil fuel-based power sources, further reducing indirect emissions. As the largest contributor to India’s green transportation sector, Indian Railways not only provides a low-carbon alternative to road transport but is also driving the transition to sustainable energy sources, reinforcing its role as a leader in the country’s journey toward environmental sustainability.

    Shri Vaishnaw also outlined the steps taken to boost exports, positioning Indian Railways as a global player in railway technology and manufacturing. Under the ‘Make in India’ and ‘Atmanirbhar Bharat’ initiatives, Indian Railways has successfully exported rolling stock, including Vande Bharat train components, to countries in Africa, Latin America, and Southeast Asia. India has also emerged as a key supplier of locomotives and coaches to international markets, strengthening its role in global railway infrastructure development.

    The Minister highlighted the significant employment opportunities created through railway projects, benefiting millions across the country. Over three lakh direct jobs have been generated through station redevelopment, track expansion, and new railway projects, alongside large-scale recruitment drives for loco pilots, technicians, station masters, and track maintenance workers. Other initiatives like the Rail Kaushal Vikas Yojana have played a crucial role in skilling thousands of young Indians in railway-related trades, enhancing their employability. A total of 1.26 crore candidates participated in the recruitment examination, which was conducted over 68 days in 133 shifts across 211 cities and 726 centers in 15 languages, with complete transparency and no incidents of paper leaks. More recently, 18.4 lakh candidates appeared over five days in 15 shifts across 156 cities and 346 centers, also in 15 languages,in the ALP exam and it was conducted smoothly without any issues. Regarding Exam centers being located outside candidates’ hometowns, the Minister clarified that this is a nationwide policy implemented uniformly to ensure smooth execution and maintain the integrity of the exams. In response to concerns about reservations, he reaffirmed that all reservation policies and regulations have been strictly adhered to in the recruitment of these five lakh jobs without any deviation. For the first time in 60 years, an annual recruitment calendar has been introduced in the railways to ensure a structured and timely hiring process, which is being effectively implemented for both 2024 and 2025, he added.

    While speaking about the financial position of Indian Railways, the Minister stated that despite the challenges faced during COVID, the Railways has now reached a healthy financial state. Currently, almost all expenses are being met through its own revenue. The major components of railway expenditure include staff costs of ₹1,16,000 crore, pensions for around 15 lakh pensioners amounting to ₹66,000 crore, energy costs of ₹32,000 crore, and financing costs of ₹25,000 crore. The total expenditure stands at ₹2,75,000 crore, while the total income is around ₹2,78,000 crore. Since COVID, the Railways has been covering its expenses from its revenue every year, and efforts will continue to further strengthen this financial position.

    *****

    Dharmendra Tewari/Shatrunjay Kumar

    (Release ID: 2112484) Visitor Counter : 52

    MIL OSI Asia Pacific News –

  • MIL-OSI Asia-Pac: Consumer awareness is key to a sustainable and secure digital experience: Shri Pralhad Joshi

    Source: Government of India

    Consumer awareness is key to a sustainable and secure digital experience: Shri Pralhad Joshi

    Department of Consumer Affairs and Meta Strengthen Partnership to Enhance Consumer Protection

    Posted On: 18 MAR 2025 7:24PM by PIB Delhi

    Union Minister for Ministry of Consumer Affairs, Food and Public Distribution and Ministry for New and Renewable Energy, Shri Pralhad Joshi along with Mr. Joel Kaplan, Chief Global Affairs Officer, Meta announced a new collaboration ‘Be an Empowered Consumer’ to empower consumers through digital literacy initiatives under the government’s flagship consumer awareness campaign ‘Jago Grahak Jago’.

    Speaking at the launch of the partnership, Shri Joshi said, “We are pleased to partner with Meta on this crucial initiative to equip citizens with the knowledge and tools that will enable them to navigate the digital landscape and protect themselves online.”

    “Consumer awareness is key to a sustainable and secure digital experience and the campaign will strengthen consumer protection measures and reinforce our commitment to empowering Indian consumers,” he added.

    Shri Joshi emphasised that with the collaboration, the efforts of Department of Consumer Affairs, Government of India, towards consumer protection will reach to the remote areas of the country.

    The joint campaign ‘Be an Empowered Consumer’ seeks to educate Indians on recognizing online threats and promoting healthy online habits, including the use of strong passwords, verification of online information, and reporting suspicious activity. This was discussed in a meeting before the launch.  

    During the meeting, the Union Minister was also apprised about a joint project commissioned with IIT Bombay by the chair established by the Department at the National Law School of India University Bangalore, and supported by Meta.  The project explores the feasibility of leveraging Llama 2, Meta’s openly available large language model, in creating a citizen-centric chatbot: GrahakNyay. The chatbot will enhance access to consumer rights information, a robust grievance redressal tool that will help individuals file complaints and resolve queries more efficiently. The chatbot is now ready for a closed group beta testing and will be officially launched and integrated into DoCA’s website once its testing is complete.

    Smt. Nidhi Khare, Secretary, Department of Consumer Affairs, present while addressing the event, said that the government remains steadfast in its commitment to upholding and safeguarding consumer rights. To make this commitment effective, it is important that consumers are aware of online threats and are able to perceive the unethical business practices, she said. Also, having right to have their grievances heard and addressed is essential for fostering accountability, transparency, and fairness. The chatbox will make it possible through the process of seamless complaint filing and resolution of queries, she stated.

    Mr. Joel Kaplan, Chief Global Affairs Officer, Meta during the event said, “With technology progressing so quickly, it can be hard for people to stay up to date with the best ways to keep themselves safe online, which is why we’re pleased to work with the Department of Consumer Affairs and contribute to India’s digital consumer protection efforts. At Meta we think AI can help people protect themselves and be informed online consumers. By making AI more accessible, we hope to improve consumer awareness, streamline redressal processes, and equip people with the knowledge they need to make informed choices online.”

    The above initiatives are steps in direction of Department’s efforts towards consumer protection and empowerment through enactment of progressive legislations and launching of technology driven programmes. With evolution of technology consumer has been rendered vulnerable to new forms of unfair trade and unethical business practices such as misleading advertisements, Tele-marketing, direct selling, e-commerce etc., thereby, requiring appropriate and swift executive interventions to prevent consumer detriment.

    To address the myriad and constantly emerging vulnerabilities of the consumers and to promote, protect and enforce the rights of the consumers, an executive agency, Central Consumer Protection Authority (CCPA) has been established under section 10 of the Consumer Protection Act, 2019. Section 18 of the Consumer Protection Act, 2019 empowers CCPA to protect, promote and enforce the rights of consumers as a class, prevent unfair trade practices, ensure no false or misleading advertisement is made and ensure that no person takes part in the publication of any advertisement which is false or misleading.  Additionally, under section 18 (2) (j) and (l), CCPA can issue safety notices to alert consumers against dangerous or unsafe goods or services and issue necessary guidelines to prevent unfair trade practices and protect consumers’ interest respectively. As per section 19 of the Act, CCPA may, on receiving information or complaint or directions from central government or of its own motion, conduct or cause to be conducted a preliminary inquiry as to whether there exists a prima facie case of violation of consumer rights or unfair trade practice or any false or misleading advertisement and if satisfied, it shall cause investigation to be made by the Director-General. Under section 20 and 21, CCPA has power to impose penalties up to 50 lakh rupees against such practices.

    In this direction, CCPA has passed appropriate orders in the past against companies and online platforms, in addition to issuing advisories against illegal sale and facilitation of wireless jammers, sale of drugs without prescription, sale of car seat belt alarm stopper etc. Further, Consumer Protection (E-commerce) Rules, 2020 and Guidelines for Prevention of Misleading Advertisements and Endorsements for Misleading Advertisements, 2022 were notified to make e-commerce platforms more transparent and accountable to consumers. The Department also published booklet on “Endorsements know-hows for celebrities, influencers and virtual influencers on social media platforms”. In addition to these, time and again, CCPA has issued guidelines to strengthen the legislative framework against unethical business practices in the form of Guidelines on Prevention of Dark Pattern 2023, Guidelines for the Prevention and Regulation of Greenwashing, 2024 and Guidelines for Prevention and Regulation of Misleading Advertisement in Coaching Sector 2024.

    Now, this two-pronged approach – leveraging AI for consumer grievance redressal through GrahakNyay chatbox and enhancing digital literacy through ‘Be an Empowered Consumer’ campaign, marks a significant step in strengthening consumer rights in India.

    *****

    Abhishek Dayal/Nihi Sharma

    (Release ID: 2112470) Visitor Counter : 83

    MIL OSI Asia Pacific News –

  • MIL-OSI Asia-Pac: IndiaAI and the Geological Survey of India (GSI), Ministry of Mines, launched the IndiaAI Hackathon to revolutionize AI-driven mineral targeting

    Source: Government of India (2)

    IndiaAI and the Geological Survey of India (GSI), Ministry of Mines, launched the IndiaAI Hackathon to revolutionize AI-driven mineral targeting

    Encouraging AI and ML solutions for identification of new potential areas for exploration of critical minerals like REE, Ni-PGE, and copper, as well as other commodities like diamond, iron, manganese, and gold

    Posted On: 18 MAR 2025 6:59PM by PIB Delhi

    In a groundbreaking move to modernize mineral targeting in India, IndiaAI, an Independent Business Division (IBD) under Digital India Corporation (DIC), Ministry of Electronics & IT (MeitY), in collaboration with the Geological Survey of India (GSI), Ministry of Mines, has launched the IndiaAI Hackathon on Mineral Targeting.

    The initiative is aimed at leveraging AI and ML technologies to enhance mineral discovery and geological analysis. Participants will use multi-parametric geoscience datasets, including geology, geophysics, geochemistry, remote sensing, and borehole data, to identify concealed and deep-seated ore bodies. The hackathon aims to:

    1. Identification of new potential areas for exploration of critical minerals like REE, Ni-PGE, and copper, as well as other commodities like diamond, iron, manganese, and gold within a pre- defined 39,000 sq. km area in the states of Karnataka and Andhra Pradesh, India.
    2. Emphasis on locating unrevealed & deep-seated mineralised bodies with depth modelling.
    3. Developing AI/ ML algorithms for data cleaning, integration, modelling, and validation.
    4. Generation of mineral predictive maps showing exploration targets visualised through maps, sections, etc.

    Exciting prizes for Hackathon Winners

    The hackathon is open to Startups & Companies; Academic & Research Institutions; Autonomous bodies, including public sector organizations; students or researchers associated with educational institutions, or working professionals can participate in their individual capacity or as teams. The prize money for the hackathon is as follows.

    •  First Prize: ₹10 Lakh
    •  Second Prize: ₹7 Lakh
    • Third Prize: ₹5 Lakh
    • Special Prize of INR 5 lakhs for All-Women Teams (if no women team in top 3)

    This initiative aligns with the Government of India’s vision of leveraging AI for inclusive growth and responsible development of AI. For more details and to apply, visit https://indiaai.gov.in/article/ai-for-mineral-targeting-join-the-indiaai-hackathon-on-mineral-discovery. The last date for submission is May 12, 2025.

    Significance of the Hackathon

    This initiative aligns with IndiaAI’s mission to democratize AI adoption in critical sectors, fostering technological self-reliance and responsible use of AI. By applying AI to mineral targeting, the government aims to improve discovery, efficiency and strengthen India’s mining sector while ensuring sustainable mineral exploration.

    For further details, visit indiaai.gov.in.

    *****

    Dharmendra Tewari/Navin Sreejith

    (Release ID: 2112453) Visitor Counter : 40

    MIL OSI Asia Pacific News –

  • MIL-OSI Asia-Pac: India-Malaysia MoS Level Bilateral Meeting held in New Delhi

    Source: Government of India (2)

    Posted On: 18 MAR 2025 6:53PM by PIB Delhi

    The Union Minister of State for Commerce & Industry and Electronics & Information Technology, Shri Jitin Prasada had a bilateral meeting with Mr. Liew Chin Tong, Malaysian Deputy Minister of Investment, Trade, and Industry on 18th March 2025, in Vanijya Bhawan, New Delhi. Malaysian Diplomats and Senior Govt. Officials from the Ministry of Investment, Trade and Industry, Malaysia and from the Ministry of Commerce & Industry, Ministry of Electronics & Information Technology, Ministry of External Affairs and Bureau of Indian Standards from Govt of India were also present during the meeting.

    Malaysia is one of the ten-member countries of ASEAN and is the ASEAN Chair for the year 2025.The meeting discussed the ongoing review of ASEAN India Trade in Goods Agreement (AITIGA) and both sides agreed to take necessary steps for speeding up the AITIGA review for its substantial conclusion by 2025.

    Both sides also discussed the bilateral trade issues, Market Access issues, Collaboration in Semiconductor Industry, Cooperation in Service Sector and the issues related to Foreign Manufacturers Certification Scheme (FMCS) of Bureau of Indian Standard (BIS). The two sides hoped that the meeting will help in speeding up the resolution of bilateral trade issues and growing bilateral trade between the two Countries.

    Malaysia is India’s 3rd largest trading partner of India in ASEAN with total trade of USD 20.02 Bn during 2023-24 accounting for around 17 % of India’s total trade with ASEAN.

    ***

    Abhishek Dayal/Abhijith Narayanan

    (Release ID: 2112446) Visitor Counter : 77

    MIL OSI Asia Pacific News –

  • MIL-OSI Asia-Pac: TRAI responds to the DoT’s back-reference in respect of the TRAI’s recommendations dated 10.12.2024 on ‘Definition of International Traffic’

    Source: Government of India

    Posted On: 18 MAR 2025 6:27PM by PIB Delhi

    The Telecom Regulatory Authority of India (TRAI) has today issued its response to the back-reference received from Department of Telecommunications (DoT) in respect of the TRAI’s recommendations dated 10.12.2024 on ‘Definition of International Traffic’.

    Earlier, DoT, through a reference dated 30.08.2022, requested TRAI, under Section 11(1)(a) of the TRAI Act, 1997, to provide recommendations on the definition of International SMS and Domestic SMS. After a detailed consultation with stakeholders, TRAI provided its recommendations on ‘Definition of International Traffic’ dated 10.12.2024 to DoT.

    Subsequently, DoT, through a back-reference dated 13.02.2025, informed TRAI that the recommendations of TRAI on Definition of International Traffic dated 10.12.2024 have been accepted in principle.  DoT, however, sought clarification from TRAI in respect of International SMSs.

    After examining the issue, TRAI has finalized its response to the back-reference.  TRAI’s response to the back-reference has been placed on the TRAI’s website (www.trai.gov.in).

    For any clarification or information, Shri Akhilesh Kumar Trivedi, Advisor (Networks, Spectrum and Licensing), TRAI may be contacted at Telephone Number +91-11-20907758.

    ****

    Samrat/Allen

     

    (Release ID: 2112419) Visitor Counter : 43

    MIL OSI Asia Pacific News –

  • MIL-OSI Asia-Pac: WAVEX 2025: A Game-Changer for Media & Entertainment Startups

    Source: Government of India (2)

    WAVEX 2025: A Game-Changer for Media & Entertainment Startups

    Startups to Pitch Ideas to Venture Capitalists/Angel Investors at WAVEX 2025

    WAVEX 2025 Opens Doors for Startups to Secure Investment & Visibility

    Posted On: 18 MAR 2025 6:11PM by PIB Mumbai

    Mumbai, 18th March 2025

    Union Ministry of Information & Broadcasting (MIB) has launched WAVEX 2025, a pioneering initiative aimed at funding and providing national exposure to startups in the media and entertainment sector. Organised in collaboration with the Internet and Mobile Association of India (IAMAI), WAVEX 2025 will take place at Jio World Convention Centre, Mumbai, as part of the World Audio-Visual Entertainment Summit (WAVES) which is scheduled to be held from 01st to 04th May, 2025 in Mumbai.

    WAVEX 2025 will act as a catalyst for Indian startups to lead this transformation, ensuring they receive the right exposure, and investment, to scale their businesses. Startups will have the chance to pitch their ideas to venture capitalists and celebrity angel investors in dedicated sessions, with extensive national television coverage ensuring maximum visibility.

    WAVEX 2025 focuses on gaming, animation, extended reality (XR), metaverse, generative AI, and next-generation content platforms. Beyond funding, the event offers mentorship, investor networking, and collaboration opportunities with major media and technology firms. The event will bring together entrepreneurs, venture capitalists, angel investors, and industry leaders. This exposure will not only help secure direct funding but also create broader business and collaboration opportunities. The fusion of entertainment and technology transforms how content is created, distributed, and consumed.

    WAVEX 2025 will feature two modes of investment pitching sessions. In one session, startups will pitch to venture capitalists and angel investors, while in the other, select startups will present their ideas to a pool of celebrity angel investors. The event will be extensively covered on national television, ensuring wide outreach and maximizing investment avenues for participating startups.

    Applications for WAVEX 2025 are now open, and the event will follow a multi-stage selection process culminating in a high-stakes televised finale, where the most promising startups will pitch directly to top celebrity angel investors and VCs. Selected startups may benefit from structured mentorship programs featuring industry experts, investor networking opportunities, and potential collaborations with major media and technology firms.

    WAVEX aims to strengthen India’s position as a global hub for media-tech entrepreneurship, leveraging innovation in AI-driven content, digital media, and emerging entertainment technologies. Nodal officer for WAVES from the Ministry of Information & Broadcasting highlighted that this initiative is a strategic step toward positioning India as a leader in media-tech innovation.

    As India continues to solidify its position as a global leader in digital content and technology, WAVEX 2025 presents a transformative opportunity for startups to establish themselves in the industry. Entrepreneurs seeking national exposure, funding, and top-tier mentorship can apply now at https://wavex.wavesbazaar.com/

    About WAVES

    The first World Audio Visual & Entertainment Summit (WAVES), a milestone event for the Media & Entertainment (M&E) sector, will be hosted by the Government of India in Mumbai, Maharashtra, from May 1 to 4, 2025.

    Whether you’re an industry professional, investor, creator, or innovator, the Summit offers the ultimate global platform to connect, collaborate, innovate and contribute to the M&E landscape.

    WAVES is set to magnify India’s creative strength, amplifying its position as a hub for content creation, intellectual property, and technological innovation. Industries and sectors in focus include Broadcasting, Print Media, Television, Radio, Films, Animation, Visual Effects, Gaming, Comics, Sound and Music, Advertising, Digital Media, Social Media Platforms, Generative AI, Augmented Reality (AR), Virtual Reality (VR), and Extended Reality (XR).

    Have questions? Find answers here  

    Come, Sail with us! Register for WAVES now (Coming soon!).

     

    PIB TEAM WAVES 2025 | Dhanlakshmi/ Preeti Malandkar | 071

     

    Follow us on social media: @PIBMumbai     /PIBMumbai     /pibmumbai   pibmumbai[at]gmail[dot]com   /PIBMumbai     /pibmumbai

    (Release ID: 2112412) Visitor Counter : 14

    MIL OSI Asia Pacific News –

  • MIL-OSI: NVIDIA, Alphabet and Google Collaborate on the Future of Agentic and Physical AI

    Source: GlobeNewswire (MIL-OSI)

    SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) — Building on their longstanding partnership, NVIDIA, Alphabet and Google today announced new initiatives to advance AI, democratize access to AI tools, speed the development of physical AI and transform industries including healthcare, manufacturing and energy.

    Engineers and researchers throughout Alphabet are working closely with technical teams at NVIDIA to use AI and simulation to develop robots with grasping skills, reimagine drug discovery, optimize energy grids and more. Employing the NVIDIA Omniverse™, NVIDIA Cosmos™ and NVIDIA Isaac™ platforms, teams from Google DeepMind, Isomorphic Labs, Intrinsic and X’s moonshot Tapestry will discuss milestones from their respective collaborations at the NVIDIA GTC global AI conference.

    To power research and AI production efforts for its customers, Alphabet’s Google Cloud will be among the first to adopt the NVIDIA GB300 NVL72 rack-scale solution and NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPU, also announced today at GTC.

    NVIDIA will be the first to adopt SynthID, a Google DeepMind AI watermarking technology for protecting intellectual property by identifying AI-generated content.

    “I’m proud of our ongoing and deep partnership with NVIDIA, which spans the early days of Android and our cutting-edge AI collaborations across Alphabet,” said Sundar Pichai, CEO of Google and Alphabet. “I’m really excited about the next phase of our partnership as we work together on agentic AI, robotics and bringing the benefits of AI to more people around the world.”

    “Alphabet and NVIDIA have a longstanding partnership that extends from building AI infrastructure and software to advancing the use of AI in the largest industries,” said Jensen Huang, founder and CEO of NVIDIA. “It’s a great joy to see Google and NVIDIA researchers and engineers collaborate to solve incredible challenges, from drug discovery to robotics.”

    Developing Responsible AI and Open Models
    Google DeepMind and NVIDIA are working to build trust in generative AI through content transparency.

    NVIDIA will be the first external user of Google DeepMind’s SynthID, which embeds digital watermarks directly into AI-generated images, audio, text and video. SynthID helps preserve the integrity of outputs from NVIDIA Cosmos world foundation models, available on build.nvidia.com, helping to safeguard against misinformation and misattribution — all without compromising video quality.

    Google DeepMind and NVIDIA also partnered to optimize Gemma, Google’s family of lightweight, open models, to run on NVIDIA GPUs. The recent launch of Gemma 3 marks a significant leap forward for open innovation.

    NVIDIA has played a key role in making Gemma even more accessible for developers. Supercharged by the NVIDIA AI platform, Gemma is available as a highly optimized NVIDIA NIM™ microservice, harnessing the power of the open-source NVIDIA TensorRT-LLM library for exceptional inference performance.

    In addition, this deep engineering collaboration will extend to optimizing Gemini-based workloads on NVIDIA accelerated computing via Vertex AI.

    The Age of Intelligent Robots
    Intrinsic is an Alphabet company focused on making intelligently adaptive AI for robotics usable and valuable for manufacturers across industries. Today, the majority of the world’s installed industrial robots are manually programmed, with every movement hard-coded in a complex, expensive process.

    Partnering with NVIDIA, the teams have built deeper and more intuitive developer workflows for Intrinsic Flowstate to support NVIDIA Isaac Manipulator foundation models for a universal robot grasping capability. Using foundation models for robotics will significantly reduce application development time and improve flexibility, with AI that can adapt effortlessly. At GTC, Intrinsic will also share an early OpenUSD framework streaming connection between Intrinsic Flowstate and NVIDIA Omniverse — enabling real-time visualization of robot workcells across platforms.

    Concurrently, NVIDIA and Google DeepMind are announcing a collaboration with Disney Research to develop Newton, an open-source physics engine accelerated by the NVIDIA Warp framework that is compatible with MuJoCo. Powered by Newton, MuJoCo will accelerate robotics machine learning workloads by more than 70x compared with MuJoCo’s existing GPU-accelerated simulator, MJX.

    Applying Innovation to Real-World Challenges
    Isomorphic Labs, founded by Google DeepMind CEO Demis Hassabis, is reimagining drug discovery with AI. It has built a state-of-the-art drug design engine housed on Google Cloud with NVIDIA GPUs to enable the scale and performance needed to continue developing groundbreaking AI models that can help advance human health.

    Tapestry, X’s moonshot for the electric grid, is building AI-powered products for a greener and more reliable future grid. Tapestry and NVIDIA are exploring methods for increasing the speed and accuracy of electric grid simulations.

    This joint effort will focus on the challenges of integrating new energy sources and expanding grid capacity to meet the growing demands of data centers and AI, while helping ensure grid stability. The companies will evaluate potential solutions, including using AI to optimize the interconnection process, with the goal of enhancing the planning and modernization of energy infrastructure for a more sustainable future.

    The Next Generation of AI-Optimized Infrastructure
    Building on its commitment to provide customers with the most advanced AI infrastructure, Google Cloud will be one of the first companies to offer the latest instances of NVIDIA Blackwell GPUs — NVIDIA GB300 NVL72 and NVIDIA RTX PRO 6000 Blackwell Server Edition.

    Built on the groundbreaking Blackwell architecture introduced a year ago, Blackwell Ultra includes the NVIDIA GB300 NVL72 rack-scale solution and the NVIDIA HGX™ B300 NVL16 system. The GB300 NVL72 delivers 1.5x more AI performance than the NVIDIA GB200 NVL72, as well as increases Blackwell’s revenue opportunity by 50x for AI factories, compared with those built with NVIDIA Hopper™. NVIDIA RTX PRO 6000 Blackwell is the ultimate universal GPU for both AI and visual computing workloads across healthcare, manufacturing, retail, live broadcast and other industries.

    With last month’s preview launches of its A4 and A4X virtual machines, Google Cloud became the first cloud provider to offer both NVIDIA B200- and GB200-based instances. Now, A4 is generally available — with A4X coming soon — so customers can take advantage of Blackwell’s powerful performance with the added benefits of Google Cloud’s AI Hypercomputer.

    Google Cloud and NVIDIA have worked together to optimize popular open-source frameworks like JAX, a popular Python library for machine learning, and MaxText to run efficiently on NVIDIA GPUs at scale. MaxText, an advanced framework for scaling large models across massive GPU clusters, uses optimizations codeveloped with NVIDIA to enable efficient training on tens of thousands of GPUs.

    GTC attendees interested in learning more about Alphabet and NVIDIA’s work can visit the Google Cloud booth 914.

    About Alphabet Inc.
    Alphabet is a collection of companies, the largest of which is Google. Larry Page and Sergey Brin founded Google in September 1998 and the company is headquartered in Mountain View, Calif. Billions of people use its wide range of popular products and platforms each day, like Search, Ads, Chrome, Cloud, YouTube and Android.

    About NVIDIA
    NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

    For further information, contact:
    Cliff Edwards
    NVIDIA Corporation
    +1-415-699-2755
    cliffe@nvidia.com

    press@google.com

    Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA’s products, services, and technologies; and the collaboration between NVIDIA and Alphabet and the benefits and impact thereof are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

    © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA Cosmos, NVIDIA HGX, NVIDIA Hopper, NVIDIA Isaac, NVIDIA Omniverse, and NVIDIA RTX PRO are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.

    A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/611ce8d4-bb5c-47ff-85d5-591363b25467

    The MIL Network –

  • MIL-OSI: NVIDIA and GE HealthCare Collaborate to Advance the Development of Autonomous Diagnostic Imaging With Physical AI

    Source: GlobeNewswire (MIL-OSI)

    SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) — GTC — NVIDIA today announced a collaboration with GE HealthCare to advance innovation in autonomous imaging, focused on developing autonomous X-ray technologies and ultrasound applications.

    Building autonomy into systems like X-ray and ultrasound requires medical imaging systems to understand and operate in the physical world. This enables the automation of complex workflows such as patient placement, image scanning and quality checking.

    To accomplish this, GE HealthCare, a pioneering partner, is using the new NVIDIA Isaac™ for Healthcare medical device simulation platform, which includes pretrained models and physics-based simulations of sensors, anatomy and environments. The platform accelerates research and development workflows, enabling GE HealthCare to train, test and validate autonomous imaging system capabilities in a virtual environment before deployment in the physical world.

    “The healthcare industry is one of the most important applications of AI, as the demand for healthcare services far exceeds the supply,” said Kimberly Powell, vice president of healthcare at NVIDIA. “We are working with an industry leader, GE HealthCare, to deliver Isaac for Healthcare, three computers to give lifesaving medical devices the ability to act autonomously and extend access to healthcare globally.”

    Expanding Access to Imaging With Physical AI
    Ultrasounds and X-ray are the most common and widely used diagnostic imaging systems, yet nearly two-thirds of the global population lack access. Enhancing imaging systems with robotic capabilities will help expand access to care.

    NVIDIA and GE HealthCare have been working together for nearly two decades, building innovative image-reconstruction techniques across CT and MRI, image-guided therapy and mammography.

    “GE HealthCare is committed to developing innovative technologies that redefine and enhance patient care,” said Roland Rott, president and CEO of Imaging at GE HealthCare. “We look forward to taking advantage of physical AI for autonomous imaging systems with NVIDIA technology to improve patient access and address the challenges of growing workloads and staffing shortages in healthcare.”

    Isaac for Healthcare Closes Gap Between Simulation and Reality
    NVIDIA will also support other customers with Isaac for Healthcare for use cases including simulation environments. Simulation environments enable robotic systems to safely learn skills in a physically accurate virtual environment for real-world situations, such as surgery, that would otherwise be impossible to replicate.

    Isaac for Healthcare is a physical AI platform built on NVIDIA’s three computers for robotics: NVIDIA DGX™, NVIDIA Omniverse™ and NVIDIA Holoscan. It includes AI models fine-tuned for healthcare robotics that can understand, act and see using enhanced vision and language processing. It also has a simulation framework for developers to accurately simulate medical environments and provides seamless deployment on NVIDIA Holoscan, an edge AI computing platform, to power robotic decision-making in the real world, in real time.

    Simulation options for medical sensors are often limited. With Isaac for Healthcare, developers can now access physics-based digital twins of medical environments, allowing them to import custom sensors, instruments and even anatomies to teach robots how to respond to various scenarios. These virtual environments help close the gap between simulation and real-world implementation, and enable rapid digital prototyping.

    Isaac for Healthcare allows for multi-scale simulation ranging from microscopic structures and surgery suites to full hospital facilities. Easy policy training in simulation allows robotic systems to learn how to respond in various medical scenarios in the operating room, and how to best support physician decision-making and patient care.

    Healthcare Robotics Ecosystem Rapidly Expands
    Isaac for Healthcare can help speed the development of robotic healthcare solutions by simulating complex medical scenarios, training AI models and optimizing robotic applications like surgery, endoscopy and cardiovascular interventions. Early adopters include Moon Surgical, Neptune Medical and Xcath.

    Isaac for Healthcare is enabling ecosystem partners to seamlessly integrate their simulation tools, sensors, robot systems and medical probes into a domain-specific simulation environment. Among early ecosystem partners are Ansys, Franka, ImFusion, Kinova and Kuka.

    Issac for Healthcare is now available in early access.

    About NVIDIA
    NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

    For further information, contact:
    Janette Ciborowski
    Enterprise Communications
    NVIDIA Corporation
    +1-734-330-8817
    jciborowski@nvidia.com

    Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA’s products, services, and technologies; the collaboration between NVIDIA and GE HealthCare and the benefits and impact thereof; and GE HealthCare driving innovation in the diagnostic imaging industry — and these simulation tools being now in reach for the entire healthcare ecosystem are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

    Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.

    © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA DGX, NVIDIA Isaac and NVIDIA Omniverse are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.

    A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/f47cd0c2-e934-44d5-aac5-ce681eced9d4

    The MIL Network –

  • MIL-OSI: NVIDIA to Build Accelerated Quantum Computing Research Center

    Source: GlobeNewswire (MIL-OSI)

    SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) — GTC— NVIDIA today announced it is building a Boston-based research center to provide cutting-edge technologies to advance quantum computing.

    The NVIDIA Accelerated Quantum Research Center, or NVAQC, will integrate leading quantum hardware with AI supercomputers, enabling what is known as accelerated quantum supercomputing. The NVAQC will help solve quantum computing’s most challenging problems, ranging from qubit noise to transforming experimental quantum processors into practical devices.

    Leading quantum computing innovators, including Quantinuum, Quantum Machines and QuEra Computing, will tap into the NVAQC to drive advancements through collaborations with researchers from leading universities, such as the Harvard Quantum Initiative in Science and Engineering (HQI) and the Engineering Quantum Systems (EQuS) group at the Massachusetts Institute of Technology (MIT).

    “Quantum computing will augment AI supercomputers to tackle some of the world’s most important problems, from drug discovery to materials development,” said Jensen Huang, founder and CEO of NVIDIA. “Working with the wider quantum research community to advance CUDA-quantum hybrid computing, the NVIDIA Accelerated Quantum Research Center is where breakthroughs will be made to create large-scale, useful, accelerated quantum supercomputers.”

    Propelling Quantum Innovation
    Through the NVAQC, commercial and academic partners will work with NVIDIA to use state-of-the-art NVIDIA GB200 NVL72 rack-scale systems, the most powerful hardware ever deployed for quantum computing applications. This enables complex simulations of quantum systems and the deployment of the low-latency quantum hardware control algorithms essential for quantum error correction. NVIDIA GB200 NVL72 systems will also accelerate the adoption of AI algorithms in quantum computing research.

    To address the challenges of integrating GPU and QPU hardware, the NVAQC will employ the NVIDIA CUDA-Q™ quantum development platform, enabling researchers to develop new hybrid quantum algorithms and applications.

    The HQI — a community of researchers dedicated to advancing the science and engineering of quantum systems and their applications — will collaborate with the NVAQC to advance their research on next-generation quantum computing technologies.

    “The NVAQC is a very special addition to the unique Boston area quantum ecosystem, including word-leading university groups and startup companies,” said Mikhail Lukin, Joshua and Beth Friedman University Professor at Harvard and a co-director of HQI. “The accelerated quantum and classical computing technologies NVIDIA is bringing together has the potential to advance the research in areas ranging from quantum error correction to applications of quantum computing systems, accelerating quantum computing research and pulling useful quantum computing closer to reality.”

    Researchers from the EQuS group, a member of the MIT Center for Quantum Engineering — which serves as a hub for research, education and engagement in support of quantum engineering — will use NVAQC to develop techniques like quantum error correction.

    “The NVIDIA Accelerated Quantum Research Center will provide EQuS group researchers with unprecedented access to the technologies and expertise needed to solve the challenges of useful quantum computing,” said William Oliver, professor of electrical engineering and computer science, and of physics, leader of the EQuS group and director of the MIT Center for Quantum Engineering. “We anticipate the future will also include other members of the Center for Quantum Engineering at MIT. Integrating the NVIDIA accelerated computing platform with qubits will help tackle core challenges like quantum error correction, hybrid application development and quantum device characterization.”

    The NVAQC is expected to begin operations later this year.

    Learn more about NVIDIA’s quantum computing initiatives and hear from industry leaders by joining Quantum Day at NVIDIA GTC, which runs through March 21.

    About NVIDIA
    NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

    For further information, contact:
    Alex Shapiro
    Enterprise Networking
    1-415-608-5044
    ashapiro@nvidia.com

    Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA’s products, services, and technologies; third parties adopting NVIDIA’s products and technologies and the impact and benefits thereof; quantum computing someday augmenting AI supercomputers to tackle some of the world’s most important problems, from drug discovery to materials development; and working with the wider quantum research community to advance CUDA-quantum hybrid computing, the NVIDIA Accelerated Quantum Computing Research Center being where breakthroughs will be made to create large-scale, useful, accelerated quantum supercomputers are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

    Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.

    © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, CUDA and CUDA-Q are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

    A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/9baec2e8-036a-4c70-b868-1af4797fc282

    The MIL Network –

  • MIL-OSI: NVIDIA Announces Major Release of Cosmos World Foundation Models and Physical AI Data Tools

    Source: GlobeNewswire (MIL-OSI)

    • New Models Enable Prediction, Controllable World Generation and Reasoning for Physical AI
    • Two New Blueprints Deliver Massive Physical AI Synthetic Data Generation for Robot and Autonomous Vehicle Post-Training
    • 1X, Agility Robotics, Figure AI, Skild AI Among Early Adopters

    SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) — GTC—NVIDIA today announced a major release of new NVIDIA Cosmos™ world foundation models (WFMs), introducing an open and fully customizable reasoning model for physical AI development and giving developers unprecedented control over world generation.

    NVIDIA is also launching two new blueprints — powered by the NVIDIA Omniverse™ and Cosmos platforms — that provide developers with massive, controllable synthetic data generation engines for post-training robots and autonomous vehicles.

    Industry leaders including 1X, Agility Robotics, Figure AI, Foretellix, Skild AI and Uber are among the first to adopt Cosmos to generate richer training data for physical AI faster and at scale.

    “Just as large language models revolutionized generative and agentic AI, Cosmos world foundation models are a breakthrough for physical AI,” said Jensen Huang, founder and CEO of NVIDIA. “Cosmos introduces an open and fully customizable reasoning model for physical AI and unlocks opportunities for step-function advances in robotics and the physical industries.”

    Cosmos Transfer for Synthetic Data Generation
    Cosmos Transfer WFMs ingest structured video inputs such as segmentation maps, depth maps, lidar scans, pose estimation maps and trajectory maps to generate controllable photoreal video outputs.

    Cosmos Transfer streamlines perception AI training, transforming 3D simulations or ground truth created in Omniverse into photorealistic videos for large-scale, controllable synthetic data generation.

    Agility Robotics will be an early adopter of Cosmos Transfer and Omniverse for large-scale synthetic data generation to train its robot models.

    “Cosmos offers us an opportunity to scale our photorealistic training data beyond what we can feasibly collect in the real world,” said Pras Velagapudi, chief technology officer of Agility Robotics. “We’re excited to see what new performance we can unlock with the platform, while making the most use of the physics-based simulation data we already have.”

    The NVIDIA Omniverse Blueprint for autonomous vehicle simulation uses Cosmos Transfer to amplify variations of physically based sensor data. With the blueprint, Foretellix can enhance behavioral scenarios by varying conditions like weather and lighting for diverse driving datasets. Parallel Domain is also using the blueprint to apply similar variation to its sensor simulation.

    The NVIDIA GR00T Blueprint for synthetic manipulation motion generation combines Omniverse and Cosmos Transfer to generate diverse datasets at scale, benefiting from OpenUSD-powered simulations and reducing data collection and augmentation time from days to hours.

    Cosmos Predict for Intelligent World Generation
    Announced at the CES trade show in January, Cosmos Predict WFMs generate virtual world states from multimodal inputs like text, images and video. New Cosmos Predict models will enable multi-frame generation, predicting intermediate actions or motion trajectories when given start and end input images. Purpose-built for post-training, these models can be customized using NVIDIA’s openly available physical AI dataset.

    With the inference compute power of NVIDIA Grace Blackwell NVL72 systems and their large NVIDIA NVLink™ domain, developers can achieve real-time world generation.

    1X is using Cosmos Predict and Cosmos Transfer to train its new humanoid robot NEO Gamma. Robot brain developer Skild AI is tapping into Cosmos Transfer to augment synthetic datasets for its robots. Plus, Nexar and Oxa are using Cosmos Predict to advance their autonomous driving systems.

    Multimodal Reasoning for Physical AI
    Cosmos Reason is an open, fully customizable WFM with spatiotemporal awareness that uses chain-of-thought reasoning to understand video data and predict the outcomes of interactions — such as a person stepping into a crosswalk or a box falling from a shelf — in natural language.

    Developers can use Cosmos Reason to improve physical AI data annotation and curation, enhance existing world foundation models or create new vision language action models. They can also post-train it to build high-level planners to tell the physical AI what it needs to do to complete a task.

    Accelerating Data Curation and Post-Training for Physical AI
    Based on their downstream task, developers can post-train Cosmos WFMs using native PyTorch scripts or the NVIDIA NeMo™ framework on NVIDIA DGX™ Cloud.

    Cosmos developers can also use NVIDIA NeMo Curator on DGX Cloud for accelerated data processing and curation. Linker Vision and Milestone Systems are using it for curating large amounts of video data to train large vision language models for visual agents built on the NVIDIA AI Blueprint for video search and summarization. Virtual Incision is exploring it to be deployed in future surgical robots, while Uber and Waabi are advancing autonomous vehicles development.

    Driving Responsible AI and Content Transparency
    In line with NVIDIA’s trustworthy AI principles, NVIDIA enforces open guardrails across all Cosmos WFMs. In addition, NVIDIA is collaborating with Google DeepMind to integrate SynthID to watermark and help identify AI-generated outputs from the Cosmos WFM NVIDIA NIM™ microservice featured on build.nvidia.com.

    Availability
    Cosmos WFMs are available for preview in the NVIDIA API catalog and now listed in the Vertex AI Model Garden on Google Cloud. Cosmos Predict and Cosmos Transfer are openly available on Hugging Face and GitHub. Cosmos Reason is available in early access.

    Learn more by watching the NVIDIA GTC keynote and by registering for Cosmos sessions and training from NVIDIA and industry leaders at the show, including “An Introduction to Cosmos World Foundation Models” with Ming-Yu Liu, vice president of generative AI research at NVIDIA.

    About NVIDIA
    NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

    For further information, contact:
    Paris Fox
    Corporate Communications
    NVIDIA Corporation
    +1-408-242-0035
    pfox@nvidia.com

    Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA’s products, services, and technologies; third parties adopting NVIDIA’s products and technologies and the benefits and impact thereof; and Cosmos opening opportunities for step-function advances in robotics and the physical industries are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

    © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA Cosmos, NVIDIA DGX, NVIDIA NeMo, NVIDIA NIM, NVIDIA Omniverse and NVLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

    A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/6c781321-9544-4bbf-bb47-8bab73fe2f63

    The MIL Network –

  • MIL-OSI: NVIDIA Omniverse Physical AI Operating System Expands to More Industries and Partners

    Source: GlobeNewswire (MIL-OSI)

    • Accenture, Ansys, Cadence, Databricks, Dematic, Hexagon, Omron, SAP, Schneider Electric With ETAP, Siemens Connect Omniverse to Leading Software Tools
    • Four New Blueprints Enable Robot-Ready Factories and Large-Scale Synthetic Data Generation
    • Foxconn, General Motors, Hyundai Motor Group, KION Group, Mercedes-Benz, Pegatron and Schaeffler Adopt Omniverse for Industrial AI Transformation

    SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) — GTC — NVIDIA today unveiled that leading industrial software and service providers Ansys, Databricks, Dematic, Omron, SAP, Schneider Electric with ETAP, Siemens and more are integrating the NVIDIA Omniverse™ platform into their solutions to accelerate industrial digitalization with physical AI.

    New NVIDIA Omniverse Blueprints connected to NVIDIA Cosmos™ world foundation models are now available to enable robot-ready facilities and large-scale synthetic data generation for physical AI development.

    “Omniverse is an operating system that connects the world’s physical data to the realm of physical AI,” said Rev Lebaredian, vice president of Omniverse and simulation technology at NVIDIA. “With Omniverse, global industrial software, data and professional services leaders are uniting industrial ecosystems and building new applications that will advance the next generation of AI for industries at unprecedented speed.”

    New Blueprints Enable Robot-Ready Facilities and Large-Scale Synthetic Data Generation
    Mega, an Omniverse Blueprint for testing multi-robot fleets at scale in industrial digital twins, is now available in preview on build.nvidia.com. Also available is the NVIDIA AI Blueprint for video search and summarization, powered by the NVIDIA Metropolis platform, for building AI agents that monitor activity across entire facilities.

    Manufacturing leaders are using the blueprints to optimize their industrial operations with physical AI.

    In automotive manufacturing, Schaeffler and Accenture are starting to adopt Mega to test and simulate fleets of Agility Robotics Digit for material-handling automation. Hyundai Motor Group is using the blueprint to simulate Boston Dynamics Atlas robots on its assembly lines, and Mercedes-Benz is using it to simulate Apptronik’s Apollo humanoid robots to optimize vehicle assembly operations.

    In electronics manufacturing, Pegatron is using Mega to develop physical AI-based NVIDIA Metropolis video analytics agents to improve factory operations and worker safety. Foxconn is using the blueprint to simulate industrial manipulators, humanoids and mobile robots in its manufacturing facilities for the NVIDIA Blackwell platform.

    “Foxconn is constantly exploring ways to transform our operations as we continue our journey toward building the factories of the future,” said Brand Cheng, CEO of Fii, a core subsidiary of Foxconn. “Using NVIDIA Omniverse and Mega, we’re testing and training humanoids to operate in our leading factories as we advance to the next wave of physical AI.”

    For warehouses and supply chain solutions, KION Group, Dematic and Accenture announced they are integrating Mega to advance next-generation AI-powered automation. idealworks is integrating Mega into its fleet management software to simulate, test and optimize robotic fleets. SAP customers and partners can use Omniverse to develop their own virtual environments for warehouse management scenarios.

    A new Omniverse Blueprint for AI factory digital twins lets data center engineers design and simulate AI factory layouts, cooling and electrical to maximize utilization and efficiency. Cadence Reality Digital Twin Platform and Schneider Electric with ETAP are the first to integrate their simulation software into the blueprint, while Vertiv and Schneider Electric are providing Omniverse SimReady 3D models of their power and cooling units to accelerate the development of AI factory digital twins.

    The NVIDIA Isaac GR00T Blueprint for synthetic manipulation motion generation is also now available for robotics developers, enabling large-scale synthetic data generation from Omniverse and Cosmos. The blueprint helps humanoid developers reduce data collection time from hours to minutes, fast-tracking robot development. 

    Omniverse Physical AI Operating System Expands Across Industries
    Digitalization is challenging for industries grounded in the physical world. Massive amounts of digital and physical world data from legacy systems create silos. Omniverse is an operating system built on the OpenUSD framework that enables developers to unify physical-world data and applications.

    Ansys, Cadence, Hexagon, Omron, Rockwell Automation and Siemens are integrating Omniverse data interoperability and visualization technologies into their leading industrial software, simulation and automation solutions to accelerate product development and optimize manufacturing processes.

    For physical AI, Intrinsic, an Alphabet company, is enabling Omniverse workflows and NVIDIA robotics foundation models to transition from digital twins to hardware deployments using Flowstate. Databricks is integrating NVIDIA Omniverse with the Databricks Data Intelligence Platform, which will enable large-scale synthetic data generation for physical AI.

    General Motors, America’s largest auto manufacturer, announced its adoption of Omniverse to enhance its factories and train platforms for operations such as material handling, transportation and precision welding. At the other end of the manufacturing life cycle, Unilever announced its adoption of Omniverse and physically accurate digital twins to streamline and optimize marketing content creation for its products.

    Omniverse in Every Cloud
    To simplify development, deployment and scale-out of OpenUSD-based applications, NVIDIA Omniverse is now available as virtual desktop images on EC2 G6e instances with NVIDIA L40S GPUs in AWS Marketplace. The Microsoft Azure Marketplace now features preconfigured Omniverse instances and Omniverse Kit App Streaming on NVIDIA A10 GPUs, allowing developers to easily develop and stream their custom Omniverse applications.

    These cloud-based NVIDIA Omniverse developer tools and services are expected to be available later this year on Oracle Cloud Infrastructure compute bare-metal instances with NVIDIA L40S GPUs, as well as the newly announced NVIDIA RTX PRO™ 6000 Blackwell Server Edition on Google Cloud.

    OpenUSD Unifies Robotics Workflows
    At GTC, NVIDIA introduced the OpenUSD Asset Structure Pipeline for Robotics with Disney Research and Intrinsic. This new structure and data pipeline uses today’s best practices within OpenUSD to work toward unifying robotic workflows, providing a common language for all data sources.

    Learn more by watching the NVIDIA GTC keynote and registering for OpenUSD, physical AI and industrial AI sessions, as well as trainings featuring NVIDIA experts and industry leaders at the show, which runs through March 21.

    About NVIDIA
     NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

    For further information, contact:
    Quentin Nolibois
    Corporate Communications
    NVIDIA Corporation
    +1-415-741-8356
    qnolibois@nvidia.com

    Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA’s products, services, and technologies; third parties adopting NVIDIA’s products and technologies, the benefits and impact thereof, and the availability of their offerings; with Omniverse, global industrial software, data and professional services leaders uniting industrial ecosystems and building new applications that will advance the next generation of AI for industries at unprecedented speed; and digitalization challenging for industries grounded in the physical world  are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

    Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.

    © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA Cosmos, NVIDIA Omniverse and NVIDIA RTX PRO are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

    A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/4d263d7d-238c-46b1-a11c-424703a906ab

    The MIL Network –

  • MIL-OSI: NVIDIA Blackwell Ultra DGX SuperPOD Delivers Out-of-the-Box AI Supercomputer for Enterprises to Build AI Factories

    Source: GlobeNewswire (MIL-OSI)

    • NVIDIA Blackwell Ultra-Powered DGX Systems Supercharge AI Reasoning for Real-Time AI Agent Responses
    • Equinix First to Offer NVIDIA Instant AI Factory Service, With Preconfigured Space in Blackwell-Ready Facilities for DGX GB300 and DGX B300 Systems to Meet Global Demand for AI Infrastructure

    SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) — GTC—NVIDIA today announced the world’s most advanced enterprise AI infrastructure — NVIDIA DGX SuperPOD™ built with NVIDIA Blackwell Ultra GPUs — which provides enterprises across industries with AI factory supercomputing for state-of-the-art agentic AI reasoning.

    Enterprises can use new NVIDIA DGX™ GB300 and NVIDIA DGX B300 systems, integrated with NVIDIA networking, to deliver out-of-the-box DGX SuperPOD AI supercomputers that offer FP4 precision and faster AI reasoning to supercharge token generation for AI applications.

    AI factories provide purpose-built infrastructure for agentic, generative and physical AI workloads, which can require significant computing resources for AI pretraining, post-training and test-time scaling for applications running in production.

    “AI is advancing at light speed, and companies are racing to build AI factories that can scale to meet the processing demands of reasoning AI and inference time scaling,” said Jensen Huang, founder and CEO of NVIDIA. “The NVIDIA Blackwell Ultra DGX SuperPOD provides out-of-the-box AI supercomputing for the age of agentic and physical AI.”

    DGX GB300 systems feature NVIDIA Grace Blackwell Ultra Superchips — which include 36 NVIDIA Grace™ CPUs and 72 NVIDIA Blackwell Ultra GPUs — and a rack-scale, liquid-cooled architecture designed for real-time agent responses on advanced reasoning models.

    Air-cooled NVIDIA DGX B300 systems harness the NVIDIA B300 NVL16 architecture to help data centers everywhere meet the computational demands of generative and agentic AI applications.

    To meet growing demand for advanced accelerated infrastructure, NVIDIA also unveiled NVIDIA Instant AI Factory, a managed service featuring the Blackwell Ultra-powered NVIDIA DGX SuperPOD. Equinix will be first to offer the new DGX GB300 and DGX B300 systems in its preconfigured liquid- or air-cooled AI-ready data centers located in 45 markets around the world.

    NVIDIA DGX SuperPOD With DGX GB300 Powers Age of AI Reasoning
    DGX SuperPOD with DGX GB300 systems can scale up to tens of thousands of NVIDIA Grace Blackwell Ultra Superchips — connected via NVIDIA NVLink™, NVIDIA Quantum-X800 InfiniBand and NVIDIA Spectrum-X™ Ethernet networking — to supercharge training and inference for the most compute-intensive workloads.

    DGX GB300 systems deliver up to 70x more AI performance than AI factories built with NVIDIA Hopper™ systems and 38TB of fast memory to offer unmatched performance at scale for multistep reasoning on agentic AI and reasoning applications.

    The 72 Grace Blackwell Ultra GPUs in each DGX GB300 system are connected by fifth-generation NVLink technology to become one massive, shared memory space through the NVLink Switch system.

    Each DGX GB300 system features 72 NVIDIA ConnectX®-8 SuperNICs, delivering accelerated networking speeds of up to 800Gb/s — double the performance of the previous generation. Eighteen NVIDIA BlueField®-3 DPUs pair with NVIDIA Quantum-X800 InfiniBand or NVIDIA Spectrum-X Ethernet to accelerate performance, efficiency and security in massive-scale AI data centers.

    DGX B300 Systems Accelerate AI for Every Data Center
    The NVIDIA DGX B300 system is an AI infrastructure platform designed to bring energy-efficient generative AI and AI reasoning to every data center.

    Accelerated by NVIDIA Blackwell Ultra GPUs, DGX B300 systems deliver 11x faster AI performance for inference and a 4x speedup for training compared with the Hopper generation.

    Each system provides 2.3TB of HBM3e memory and includes advanced networking with eight NVIDIA ConnectX-8 SuperNICs and two BlueField-3 DPUs.

    NVIDIA Software Accelerates AI Development and Deployment
    To enable enterprises to automate the management and operations of their infrastructure, NVIDIA also announced NVIDIA Mission Control™ — AI data center operation and orchestration software for Blackwell-based DGX systems.

    NVIDIA DGX systems support the NVIDIA AI Enterprise software platform for building and deploying enterprise-grade AI agents. This includes NVIDIA NIM™ microservices, such as the new NVIDIA Llama Nemotron open reasoning model family announced today, and NVIDIA AI Blueprints, frameworks, libraries and tools used to orchestrate and optimize performance of AI agents.

    NVIDIA Instant AI Factory to Meet Infrastructure Demand
    NVIDIA Instant AI Factory offers enterprises an Equinix managed service featuring the Blackwell Ultra-powered NVIDIA DGX SuperPOD with NVIDIA Mission Control software.

    With dedicated Equinix facilities around the globe, the service will provide businesses with fully provisioned, intelligence-generating AI factories optimized for state-of-the-art model training and real-time reasoning workloads — eliminating months of pre-deployment infrastructure planning.

    Availability
    NVIDIA DGX SuperPOD with DGX GB300 or DGX B300 systems are expected to be available from partners later this year.

    NVIDIA Instant AI Factory is planned to be available starting later this year.

    Learn more by watching the NVIDIA GTC keynote and register to attend sessions from NVIDIA and industry leaders at the show, which runs through March 21.

    About NVIDIA
    NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

    For further information, contact:
    Allie Courtney
    NVIDIA Corporation
    +1-408-706-8995
    acourtney@nvidia.com

    Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA’s products, services, and technologies; third parties adopting NVIDIA’s products and technologies and the benefits and impact thereof; and AI advancing at light speed, and companies racing to build AI factories that can scale to meet the processing demands of reasoning AI and inference time scaling are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

    Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.

    © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, BlueField, ConnectX, DGX, NVIDIA DGX SuperPOD, NVIDIA Grace, NVIDIA Hopper, NVIDIA Mission Control, NVIIDA NIM, NVIDIA Spectrum-X and NVLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

    A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/4f5747e8-5b3d-4764-9d34-6d63cbfb18c2

    The MIL Network –

  • MIL-OSI: NVIDIA Blackwell Accelerates Computer-Aided Engineering Software by Orders of Magnitude for Real-Time Digital Twins

    Source: GlobeNewswire (MIL-OSI)

    SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) — GTC — NVIDIA today announced that leading computer-aided engineering (CAE) software vendors, including Ansys, Altair, Cadence, Siemens and Synopsys, are accelerating their simulation tools by up to 50x with the NVIDIA Blackwell platform.

    With such accelerated software, along with NVIDIA CUDA-X™ libraries and blueprints to further optimize performance, industries such as automotive, aerospace, energy, manufacturing and life sciences can significantly reduce product development time, cut costs and increase design accuracy while maintaining energy efficiency.

    “CUDA-accelerated physical simulation on NVIDIA Blackwell has enhanced real-time digital twins and is reimagining the entire engineering process,” said Jensen Huang, founder and CEO of NVIDIA. “The day is coming when virtually all products will be created and brought to life as a digital twin long before it is realized physically.”

    Ecosystem Support for NVIDIA Blackwell
    Software providers can help their customers develop digital twins with real-time interactivity and now accelerate them with NVIDIA Blackwell technologies.

    The growing ecosystem integrating Blackwell into its software includes Altair, Ansys, BeyondMath, Cadence, COMSOL, ENGYS, Flexcompute, Hexagon, Luminary Cloud, M-Star, NAVASTO, an Autodesk company, Neural Concept, nTop, Rescale, Siemens, Simscale, Synopsys and Volcano Platforms.

    Cadence is using NVIDIA Grace Blackwell-accelerated systems to help solve one of computational fluid dynamics’ biggest challenges — the simulation of an entire aircraft during takeoff and landing. Using the Cadence Fidelity CFD solver, Cadence successfully ran multibillion cell simulations on a single NVIDIA GB200 NVL72 server in under 24 hours, which would have previously required a CPU cluster with hundreds of thousands of cores and several days to complete.

    This breakthrough will help the aerospace industry move toward designing safer, more efficient aircrafts while reducing the amount of expensive wind-tunnel testing required, speeding time to market.

    Anirudh Devgan, president and CEO of Cadence, said, “NVIDIA Blackwell’s acceleration of the Cadence.AI portfolio delivers increased productivity and quality of results for intelligent system design — reducing engineering tasks that took hours to minutes and unlocking simulations not possible before. Our collaboration with NVIDIA drives innovation across semiconductors, data centers, physical AI and sciences.”

    Sassine Ghazi, president and CEO of Synopsys, said, “At GTC, we’re unveiling the latest performance results observed across our leading portfolio when optimizing Synopsys solutions for NVIDIA Blackwell to accelerate computationally intensive chip design workflows. Synopsys technology is mission-critical to the productivity and capabilities of engineering teams, from silicon to systems. By harnessing the power of NVIDIA accelerated computing, we can help customers unlock new levels of performance and deliver their innovations even faster.”

    Ajei Gopal, president and CEO of Ansys, said, “The close collaboration between Ansys and NVIDIA is accelerating innovation at an unprecedented pace. By harnessing the computational performance of NVIDIA Blackwell GPUs, we at Ansys are empowering engineers at Volvo Cars to tackle the most complex computational fluid dynamics challenges with exceptional speed and accuracy — enabling more optimization studies and delivering more performant vehicles.”

    James Scapa, founder and CEO of Altair, said, “The NVIDIA Blackwell platform’s computing power, combined with Altair’s cutting-edge simulation tools, gives users transformative capabilities. This combination makes GPU-based simulations up to 1.6x faster compared with the previous generation, helping engineers rapidly solve design challenges and giving industries the power to create safer, more sustainable products through real-time digital twins and physics-informed AI.”

    Roland Busch, president and CEO of Siemens, said, “The combination of NVIDIA’s groundbreaking Blackwell architecture with Siemens’ physics-based digital twins will enable engineers to drastically reduce development times and costs through using photo-realistic, interactive digital twins. This collaboration will allow us to help customers like BMW innovate faster, optimize processes and achieve remarkable levels of efficiency in design and manufacturing.”

    Rescale CAE Hub With NVIDIA Blackwell
    Rescale’s newly launched CAE Hub enables customers to streamline their access to NVIDIA technologies and CUDA®-accelerated software developed by leading independent software vendors. Rescale CAE Hub provides flexible, high-performance computing and AI technologies in the cloud powered by NVIDIA GPUs and NVIDIA DGX™ Cloud.

    Boom Supersonic, the company building the world’s fastest airliner, will use the NVIDIA Omniverse Blueprint for real-time digital twins and Blackwell-accelerated CFD solvers on Rescale CAE Hub to design and optimize its new supersonic passenger jet.

    The company’s product development cycle, which is almost entirely simulation-driven, will use the Rescale platform accelerated by Blackwell GPUs to test different flight conditions and refine requirements in a continuous loop with simulation.

    The adoption of the Rescale CAE Hub powered by Blackwell GPUs expands Boom Supersonic’s collaboration with NVIDIA. Through the NVIDIA PhysicsNeMo™ framework and the Rescale AI Physics platform, Boom Supersonic can unlock 4x more design explorations for its supersonic airliner, speeding iteration to improve performance and time to market.

    NVIDIA Omniverse Blueprint Now Broadly Accessible for Enterprises
    The NVIDIA Omniverse Blueprint for real-time digital twins, now generally available, is also part of the Rescale CAE Hub. The blueprint brings together NVIDIA CUDA-X libraries, NVIDIA PhysicsNeMo AI and the NVIDIA Omniverse™ platform — and is also adding the first NVIDIA NIM™ microservice for external aerodynamics, the study of how air moves around objects.

    Learn more by watching the NVIDIA GTC keynote and register for sessions from NVIDIA and industry leaders at the show, which runs through March 21.

    About NVIDIA
    NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

    For further information, contact:
    Steve Gartner
    NVIDIA Corporation
    +1-513-479-4060
    sgartner@nvidia.com

    Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA’s products, services, and technologies; third parties adopting or offering NVIDIA’s products and technologies and the benefits and impact thereof; the day coming when products will be created and brought to life as a digital twin long before it is realized physically; and real-time digital twins revolutionizing the physical industries are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

    © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, CUDA, CUDA-X, DGX, NVIDIA NIM, PhysicsNeMo, and NVIDIA Omniverse are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.

    A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/9d8b1936-99e9-4170-9a34-5f1f25a1e88e

    The MIL Network –

  • MIL-OSI: NVIDIA and Storage Industry Leaders Unveil New Class of Enterprise Infrastructure for the Age of AI

    Source: GlobeNewswire (MIL-OSI)

    SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) — NVIDIA today announced the NVIDIA AI Data Platform, a customizable reference design that leading providers are using to build a new class of AI infrastructure for demanding AI inference workloads: enterprise storage platforms with AI query agents fueled by NVIDIA accelerated computing, networking and software.

    Using the NVIDIA AI Data Platform, NVIDIA-Certified Storage providers can build infrastructure to speed AI reasoning workloads with specialized AI query agents. These agents help businesses generate insights from data in near real time, using NVIDIA AI Enterprise software — including NVIDIA NIM™ microservices for the new NVIDIA Llama Nemotron models with reasoning capabilities — as well as the new NVIDIA AI-Q Blueprint.

    Storage providers can optimize their infrastructure to power these agents with NVIDIA Blackwell GPUs, NVIDIA BlueField®DPUs, NVIDIA Spectrum-X™ networking and the NVIDIA Dynamo open-source inference library.

    Leading data platform and storage providers — including DDN, Dell Technologies, Hewlett Packard Enterprise, Hitachi Vantara, IBM, NetApp, Nutanix, Pure Storage, VAST Data and WEKA — are collaborating with NVIDIA to create customized AI data platforms that can harness enterprise data to reason and respond to complex queries.

    “Data is the raw material powering industries in the age of AI,” said Jensen Huang, founder and CEO of NVIDIA. “With the world’s storage leaders, we’re building a new class of enterprise infrastructure that companies need to deploy and scale agentic AI across hybrid data centers.”

    NVIDIA AI Data Platform Adds Accelerated Computing and AI to Storage
    The NVIDIA AI Data Platform brings accelerated computing and AI to the millions of businesses using enterprise storage for the data that drives their company.

    NVIDIA Blackwell GPUs, BlueField DPUs and Spectrum-X networking provide an accelerated engine to speed AI query agent access to data stored on enterprise systems. BlueField DPUs deliver up to 1.6x higher performance than CPU-based storage while reducing power consumption by up to 50%, providing more than 3x higher performance per watt. Spectrum-X accelerates AI storage traffic up to 48% compared with traditional Ethernet by applying adaptive routing and congestion control.

    AI Data Platform storage infrastructure uses the NVIDIA AI-Q Blueprint for developing agentic systems that can reason and connect to enterprise data. AI-Q taps into NVIDIA NeMo Retriever™ microservices to accelerate data extraction and retrieval by up to 15x on NVIDIA GPUs.

    AI query agents built with the AI-Q Blueprint connect to data during inference to provide more accurate, context-aware responses. They can access large-scale data quickly and process various data types, including structured, semi-structured and unstructured data from multiple sources, including text, PDF, images and video.

    Storage Industry Leaders Building AI Data Platforms With NVIDIA
    NVIDIA-Certified Storage partners are collaborating with NVIDIA to build custom AI data platforms.

    • DDN is architecting AI Data Platform capabilities into its DDN Infinia AI platform.
    • Dell is creating AI data platforms for its family of Dell PowerScale and Project Lightning solutions.
    • Hewlett Packard Enterprise is infusing AI Data Platform capabilities into HPE Private Cloud for AI, HPE Data Fabric, HPE Alletra Storage MP and HPE GreenLake for File Storage.
    • Hitachi Vantara is bringing AI Data Platform into the Hitachi IQ ecosystem, helping customers innovate with storage systems and data offerings that drive tangible AI outcomes.
    • IBM is integrating AI Data Platform as part of its content-aware storage capability with IBM Fusion and IBM Storage Scale technology to accelerate retrieval-augmented generation applications.
    • NetApp is advancing enterprise storage for agentic AI with the NetApp AIPod solution built with AI Data Platform.
    • Nutanix Cloud Platform with Nutanix Unified Storage will integrate with the NVIDIA AI Data Platform and enable inferencing and agentic workflows deployed across edge, data center and public cloud.
    • Pure Storage will deliver AI Data Platform capabilities with Pure Storage FlashBlade.
    • VAST Data is working with AI Data Platform to curate real-time insights with VAST InsightEngine.
    • WEKA Data Platform software integrates with NVIDIA GPUs, DPUs and networking to optimize data access for agentic AI reasoning and insights and deliver a high-performance storage foundation that accelerates AI inference and token processing workloads.

    NVIDIA-Certified Storage providers are planning to offer solutions created with the NVIDIA AI Data platform starting this month.

    Learn more by watching the NVIDIA GTC keynote and register for sessions from NVIDIA and industry leaders at the show, which runs through March 21.
    About NVIDIA
    NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

    For further information, contact:
    Alex Shapiro
    Enterprise Networking
    1-415-608-5044
    ashapiro@nvidia.com

    Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA’s products, services, and technologies; NVIDIA’s collaboration with third parties; third parties adopting or offering NVIDIA’s products and technologies; and with the world’s storage leaders, NVIDIA building a new class of enterprise infrastructure that companies need to deploy and scale agentic AI across hybrid data centers are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

    Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.

    © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, BlueField, NVIDIA NeMo, NVIDIA NIM and NVIDIA Spectrum-X are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

    A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/5ecf8d79-95ab-4140-809f-bd1d6aaa111d

    The MIL Network –

  • MIL-OSI: Climate Tech Companies Adopt NVIDIA Earth-2 for High-Resolution, Energy-Efficient, More Accurate Weather Predictions and Disaster Preparedness

    Source: GlobeNewswire (MIL-OSI)

    SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) — GTC — NVIDIA today announced the NVIDIA Omniverse Blueprint for Earth-2 weather analytics to accelerate the development of more accurate weather forecasting solutions.

    Climate-related weather events have had a $2 trillion impact on the global economy over the last decade. The new Omniverse Blueprint equips users with the latest technologies to help global organizations improve risk management and disaster preparedness.

    The NVIDIA Omniverse Blueprint for Earth-2 weather analytics offers reference workflows — including NVIDIA GPU acceleration libraries, a physics-AI framework, development tools and microservices — to help enterprises go from prototyping to production with weather forecast models.

    Easy-to-deploy NVIDIA NIM™ microservices for NVIDIA Earth-2 are also part of the blueprint, including CorrDiff for downscaling and FourCastNet for predicting global atmospheric dynamics of various weather and climate variables. These are already being used by weather technology companies, researchers and government agencies to derive insights and mitigate risk from extreme weather events.

    “We’re seeing more extreme weather events and natural disasters than ever, threatening lives and property,” said Jensen Huang, founder and CEO of NVIDIA. “The NVIDIA Omniverse Blueprint for Earth-2 will help industries around the world prepare for — and mitigate — climate change and weather-related disasters.”

    Ecosystem Support
    Industry-leading climate tech companies including AI company G42, JBA Risk Management, Spire and others are using the blueprint to develop unique AI-augmented solutions.

    When combined with proprietary enterprise data in the $20 billion climate tech industry, the NVIDIA Earth-2 platform helps developers build solutions that deliver warnings and updated forecasts in seconds rather than minutes or hours with traditional CPU-driven modeling.

    G42 is integrating various components of the Omniverse Blueprint with its own AI-driven forecasting models for Earth-2 to provide the UAE’s National Center of Meteorology with AI technologies for advanced weather forecasting and disaster management.

    “G42 is advancing AI-powered forecasting to help governments and enterprises strengthen resilience against extreme weather in a rapidly changing world,” said Andrew Jackson, CEO of Inception, a G42 company. “Using high-resolution weather and climate modeling, we are transforming how organizations anticipate and respond to severe weather conditions with precision and speed. Building on NVIDIA’s CorrDiff model, we have developed a custom AI-driven system that downscales coarse weather data into hyper-local forecasts, enabling faster predictions at an unprecedented scale. Combined with the Earth-2 Blueprint, this technology equips decision-makers with actionable intelligence to protect communities, safeguard infrastructure and plan for a more resilient future.”

    Spire Global used AI components from the blueprint as reference to develop new AI products that integrate its proprietary satellite data and deliver medium-range and sub-seasonal forecasts out to 45 days. Powered by NVIDIA GPUs and the Omniverse Blueprint for Earth-2, Spire’s models run 1,000x faster than traditional physics-based models, enabling large ensemble forecasts that capture the full range of possible weather outcomes.

    In addition to the Central Weather Administration of Taiwan and The Weather Company, other companies adopting or exploring Earth-2 include 3D mapping company Ecopia, spatial analytics company ESRI, green energy company GCL Power, flood risk management company JBA Risk Management, aerospace company OroraTech, and Tomorrow.io, a leading resilience platform powered by proprietary space data and weather intelligence.

    Groundbreaking Generative AI for Climate Tech
    The Earth-2 platform offers tools, microservices and an array of state-of-the-art AI weather models for visualizing and simulating the globe.

    CorrDiff, part of the Omniverse Blueprint, is available as an NVIDIA NIM microservice. Compared with CPUs, it can be 500x faster and 10,000x more energy-efficient in delivering high-resolution numerical weather predictions.

    The Omniverse Blueprint for Earth-2 allows independent software vendors to develop and deploy AI-augmented solutions and use observational data to make their solutions faster and more accurate.

    Esri, a leader in geospatial technology, is collaborating with NVIDIA to connect its ArcGIS platform to Earth-2 through the blueprint. OroraTech is exploring connecting its data platform to the Omniverse Blueprint for Earth-2.

    Tomorrow.io contributed its near-real-time proprietary satellite data to help create an NVIDIA digital twin of Earth for next-generation AI model training, inference and reinforcement.

    A key component of the new blueprint is NVIDIA Omniverse™, a platform for developing OpenUSD-based 3D workflows and applications. The Omniverse Blueprint for Earth-2 showcases how developers can use Omniverse software development kits and microservices to build NVIDIA RTX™-powered visualization pipelines for rendering geospatial and weather data.

    NVIDIA DGX Cloud-Powered Compute
    The Omniverse Blueprint for Earth-2 taps into the NVIDIA DGX™ Cloud platform to demonstrate full-stack acceleration for AI-augmented weather forecasting. Running on NVIDIA DGX GB200, NVIDIA HGX™ B200 and NVIDIA OVX™ supercomputers, the blueprint provides a path to simulating and visualizing the global climate simulations at exceptional speed and scale.

    Learn more by watching the NVIDIA GTC keynote and register for sessions from NVIDIA and industry leaders at the show, which runs through March 21.

    About NVIDIA
    NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

    For further information, contact:
    Cliff Edwards
    Enterprise Communications
    NVIDIA Corporation
    +1-415-699-2755
    cliffe@nvidia.com

    Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA’s products, services, and technologies; third parties adopting NVIDIA’s products and technologies and the benefits and impact thereof; and the NVIDIA Omniverse Blueprint for Earth-2 helping industries around the world prepare for — and mitigate — climate change and weather-related disasters are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

    Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.

    © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA NIM, NVIDIA Omniverse, NVIDIA OVX, NVIDIA DGX, NVIDIA HGX and NVIDIA RTX are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

    A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/8b94536e-e49f-4a2c-a364-07c68495e476

    The MIL Network –

  • MIL-OSI: NVIDIA Announces DGX Spark and DGX Station Personal AI Computers

    Source: GlobeNewswire (MIL-OSI)

    SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) — GTC — NVIDIA today unveiled NVIDIA DGX™ personal AI supercomputers powered by the NVIDIA Grace Blackwell platform.

    DGX Spark — formerly Project DIGITS — and DGX Station™, a new high-performance NVIDIA Grace Blackwell desktop supercomputer powered by the NVIDIA Blackwell Ultra platform, enable AI developers, researchers, data scientists and students to prototype, fine-tune and inference large models on desktops. Users can run these models locally or deploy them on NVIDIA DGX Cloud or any other accelerated cloud or data center infrastructure.

    DGX Spark and DGX Station bring the power of the Grace Blackwell architecture, previously only available in the data center, to the desktop. Global system builders to develop DGX Spark and DGX Station include ASUS, Dell, HP Inc. and Lenovo.

    “AI has transformed every layer of the computing stack. It stands to reason a new class of computers would emerge — designed for AI-native developers and to run AI-native applications,” said Jensen Huang, founder and CEO of NVIDIA. “With these new DGX personal AI computers, AI can span from cloud services to desktop and edge applications.”

    Igniting Innovation With DGX Spark
    DGX Spark is the world’s smallest AI supercomputer, empowering millions of researchers, data scientists, robotics developers and students to push the boundaries of generative and physical AI with massive performance and capabilities.

    At the heart of DGX Spark is the NVIDIA GB10 Grace Blackwell Superchip, optimized for a desktop form factor. GB10 features a powerful NVIDIA Blackwell GPU with fifth-generation Tensor Cores and FP4 support, delivering up to 1,000 trillion operations per second of AI compute for fine-tuning and inference with the latest AI reasoning models, including the NVIDIA Cosmos Reason world foundation model and NVIDIA GR00T N1 robot foundation model.

    The GB10 Superchip uses NVIDIA NVLink™-C2C interconnect technology to deliver a CPU+GPU-coherent memory model with 5x the bandwidth of fifth-generation PCIe. This lets the superchip access data between a GPU and CPU to optimize performance for memory-intensive AI developer workloads.

    NVIDIA’s full-stack AI platform enables DGX Spark users to seamlessly move their models from their desktops to DGX Cloud or any accelerated cloud or data center infrastructure — with virtually no code changes — making it easier than ever to prototype, fine-tune and iterate on their workflows.

    Full Speed Ahead With DGX Station
    NVIDIA DGX Station brings data-center-level performance to desktops for AI development. The first desktop system to be built with the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, DGX Station features a massive 784GB of coherent memory space to accelerate large-scale training and inferencing workloads. The GB300 Desktop Superchip features an NVIDIA Blackwell Ultra GPU with latest-generation Tensor Cores and FP4 precision — connected to a high-performance NVIDIA Grace™ CPU via NVLink-C2C — delivering best-in-class system communication and performance.

    DGX Station also features the NVIDIA ConnectX®-8 SuperNIC, optimized to supercharge hyperscale AI computing workloads. With support for networking at up to 800Gb/s, the ConnectX-8 SuperNIC delivers extremely fast, efficient network connectivity, enabling high-speed connectivity of multiple DGX Stations for even larger workloads, and network-accelerated data transfers for AI workloads.

    Combining these state-of-the-art DGX Station capabilities with the NVIDIA CUDA-X™ AI platform, teams can achieve exceptional desktop AI development performance.

    In addition, users gain access to NVIDIA NIM™ microservices with the NVIDIA AI Enterprise software platform, which offers highly optimized, easy-to-deploy inference microservices backed by enterprise support.

    Availability
    Reservations for DGX Spark systems open today at nvidia.com.

    DGX Station is expected to be available from manufacturing partners like ASUS, BOXX, Dell, HP, Lambda and Supermicro later this year.

    Learn more by watching the NVIDIA GTC keynote and register for sessions from NVIDIA and industry leaders at the show, which runs through March 21.

    About NVIDIA
    NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

    For further information, contact:
    Pearlina Boc
    NVIDIA Corporation
    +1-562-275-5781
    pboc@nvidia.com  

    Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA’s products, services, and technologies; third parties adopting or offering NVIDIA’s products and technologies; by putting the NVIDIA Grace Blackwell Superchip on every desk, and at every AI developer’s fingertips, NVIDIA empowering millions of people to shape the future of AI; and with new DGX AI supercomputers, software providers, government agencies, startups and researchers being able to prototype, fine-tune and run large AI models — transforming the way they work and create are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

    © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, Connect-X, CUDA-X, DGX, DGX Station, NVIDIA Grace, NVIDIA NIM and NVLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.

    A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/a1933d3b-32bd-450a-88f9-cd3df95857e1

    The MIL Network –

  • MIL-OSI: LIS Technologies Inc. Achieves TRL-4 in an Independent Technical Readiness Assessment of its Patented Laser Enrichment Technology (CRISLA)

    Source: GlobeNewswire (MIL-OSI)

    Oak Ridge, Tennessee, March 18, 2025 (GLOBE NEWSWIRE) — LIS Technologies Inc. (“LIST” or “the Company”), a proprietary developer of advanced laser technology and the only USA-origin and patented laser uranium enrichment company, today announced that it has convened a panel of independent reviewers to perform a Technology Readiness Level Assessment (TRA) of the CRISLA-3G technology at the LIST facility in Oak Ridge, TN during the week of March 11 – 13, 2025.

    The CRISLA-3G laser isotope separation technology was evaluated and determined to meet all elements required for TRL-4, conforming to the Department of Energy guide DOE G 413.3-4A. It shows that all critical components were successfully validated in a laboratory environment, supported by experimental results from the integrated system.

    The TRA Team leveraged a well-established TRA process developed and implemented by the U.S. Department of Energy (DOE) Office of Environmental Management (EM). Each Critical Technology Element (CTE) was assessed against TRL-4, TRL-5, and TRL-6 calculator elements, which address technical, manufacturing, and programmatic factors. The Technology Readiness Level (TRL) is a technology maturity system ranging from TRL-1 (basic principles observed and reported) to TRL-9 (actual system operated over full range of expected conditions). The TRL rating system was developed by NASA and DoD to evaluate the deployment readiness of a given technology and has been adopted by agencies across the federal government.

    “We are very pleased that the independent Technology Readiness Assessment team scored our TRL at 4, meeting 27 out of 27 criteria,” said Christo Liebenberg, CEO and Co-Founder of LIS Technologies Inc. “Also identified were the critical technical elements (CTE’s) to progress through TRL5, 6 and 7 in the coming years. We have high confidence that we can meet all these CTEs in our roadmap to commercialization.”

    “With our interaction with the TRL assessment team, I feel reassured that our technology is moving forward in the right direction,” said Viktor Chikan, Ph.D., Co-Chief Technical Officer of LIS Technologies Inc. “In my view, the TRL assessment provides the necessary transparency for both investors and the technical team to execute on the project plan and realize the commercial enrichment facility based on CRISLA technology.”

    “This is a very important milestone for the advancement of CRISLA technology,” said Keith Everly Head of Security and IP Management of LIS Technologies Inc. “I am pleased that our self-assessment of our progress with the CRISLA technology process is in good alignment with the assessment of a qualified independent board of reviewers.”

    “The Technology Readiness Level framework is essential for guiding innovative technologies toward full-scale commercialization,” said Jay Yu, Executive Chairman and President of LIS Technologies Inc. “This review of our patented CRISLA technology underscores the substantial progress LIST’s technical team has achieved in preparing the system for the demonstration activities required for TRL 5. Successfully completing those demonstration steps will be a major threshold in establishing our leadership in this space.”

    About LIS Technologies Inc.

    LIS Technologies Inc. (LIST) is a USA based, proprietary developer of a patented advanced laser technology, making use of infrared lasers to selectively excite the molecules of desired isotopes to separate them from other isotopes. The Laser Isotope Separation Technology (L.I.S.T) has a huge range of applications, including being the only USA-origin (and patented) laser uranium enrichment company, and several major advantages over traditional methods such as gas diffusion, centrifuges, and prior art laser enrichment. The LIST proprietary laser-based process is more energy-efficient and has the potential to be deployed with highly competitive capital and operational costs. L.I.S.T is optimized for LEU (Low Enriched Uranium) for existing civilian nuclear power plants, High-Assay LEU (HALEU) for the next generation of Small Modular Reactors (SMR) and Microreactors, the production of stable isotopes for medical and scientific research, and applications in quantum computing manufacturing for semiconductor technologies. The Company employs a world class nuclear technical team working alongside leading nuclear entrepreneurs and industry professionals, possessing strong relationships with government and private nuclear industries.

    In 2024, LIS Technologies Inc. (Laser Isotope Separation Technologies) was selected as one of six domestic companies by the U.S. Department of Energy (DOE) to participate in the Low-Enriched Uranium (LEU) Enrichment Acquisition Program. This initiative allocates up to $3.4 billion overall, with contracts lasting for up to 10 years. Each awardee is slated to receive a minimum contract of $2 million.

    For more information please visit: LaserIsTech.com

    For further information, please contact:
    Email: info@laseristech.com
    Telephone: 800-388-5492
    Follow us on X Platform
    Follow us on LinkedIn

    Forward Looking Statements

    This news release contains “forward-looking statements” within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, and the Private Securities Litigation Reform Act of 1995. In this context, forward-looking statements mean statements related to future events, which may impact our expected future business and financial performance, and often contain words such as “expects”, “anticipates”, “intends”, “plans”, “believes”, “will”, “should”, “could”, “would” or “may” and other words of similar meaning. These forward-looking statements are based on information available to us as of the date of this news release and represent management’s current views and assumptions. Forward-looking statements are not guarantees of future performance, events or results and involve known and unknown risks, uncertainties and other factors, which may be beyond our control. For LIS Technologies Inc., particular risks and uncertainties that could cause our actual future results to differ materially from those expressed in our forward-looking statements include but are not limited to the following which are, and will be, exacerbated by any worsening of global business and economic environment: (i) risks related to the development of new or advanced technology, including difficulties with design and testing, cost overruns, development of competitive technology, loss of key individuals and uncertainty of success of patent filing, (ii) our ability to obtain contracts and funding to be able to continue operations and (iii) risks related to uncertainty regarding our ability to commercially deploy a competitive laser enrichment technology, (iv) risks related to the impact of government regulation and policies including by the DOE and the U.S. Nuclear Regulatory Commission; and other risks and uncertainties discussed in this and our other filings with the SEC. Only after successful completion of our Phase 2 Pilot Plant demonstration will LIS Technologies be able to make realistic economic predictions for a Commercial Facility. Readers are cautioned not to place undue reliance on these forward-looking statements, which apply only as of the date of this news release. These factors may not constitute all factors that could cause actual results to differ from those discussed in any forward-looking statement. Accordingly, forward-looking statements should not be relied upon as a predictor of actual results. We do not undertake to update our forward-looking statements to reflect events or circumstances that may arise after the date of this news release, except as required by law.

    The MIL Network –

  • MIL-OSI: NVIDIA Blackwell RTX PRO Comes to Workstations and Servers for Designers, Developers, Data Scientists and Creatives to Build and Collaborate With Agentic AI

    Source: GlobeNewswire (MIL-OSI)

    SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) — GTC — NVIDIA today announced the NVIDIA RTX PRO™ Blackwell series — a revolutionary generation of workstation and server GPUs redefining workflows for AI, technical, creative, engineering and design professionals with breakthrough accelerated computing, AI inference, ray tracing and neural rendering technologies.

    For everything from agentic AI, simulation, extended reality, 3D design and complex visual effects to developing physical AI powering autonomous robots, vehicles and smart spaces, the RTX PRO Blackwell series provides professionals across industries the latest and greatest compute power, memory capacity and data throughput right at their fingertips — from their desktop, on the go with mobile workstations or powered by data center GPUs.

    The new lineup includes:

    • Data center GPU: NVIDIA RTX PRO 6000 Blackwell Server Edition
    • Desktop GPUs: NVIDIA RTX PRO 6000 Blackwell Workstation Edition, NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition, NVIDIA RTX PRO 5000 Blackwell, NVIDIA RTX PRO 4500 Blackwell and NVIDIA RTX PRO 4000 Blackwell
    • Laptop GPUs: NVIDIA RTX PRO 5000 Blackwell, NVIDIA RTX PRO 4000 Blackwell, NVIDIA RTX PRO 3000 Blackwell, NVIDIA RTX PRO 2000 Blackwell, NVIDIA RTX PRO 1000 Blackwell and NVIDIA RTX PRO 500 Blackwell

    “Software developers, data scientists, artists, designers and engineers need powerful AI and graphics performance to push the boundaries of visual computing and simulation, helping tackle incredible industry challenges,” said Bob Pette, vice president of enterprise platforms at NVIDIA. “Bringing NVIDIA Blackwell to workstations and servers will take productivity, performance and speed to new heights, accelerating AI inference serving, data science, visualization and content creation.”

    NVIDIA Blackwell Technology Comes to Workstations and Data Centers
    RTX PRO Blackwell GPUs unlock the potential of generative, agentic and physical AI by delivering exceptional performance, efficiency and scale.

    NVIDIA RTX PRO Blackwell GPUs feature:

    • NVIDIA Streaming Multiprocessor: Offers up to 1.5x faster throughput and new neural shaders that integrate AI inside of programmable shaders to drive the next decade of AI-augmented graphics innovations.
    • Fourth-Generation RT Cores: Delivers up to 2x the performance of the previous generation to create photoreal, physically accurate scenes and complex 3D designs with optimizations for NVIDIA RTX™ Mega Geometry.
    • Fifth-Generation Tensor Cores: Delivers up to 4,000 AI trillion operations per second and adds support for FP4 precision and NVIDIA DLSS 4 Multi Frame Generation, enabling a new era of AI-powered graphics and the ability to run and prototype larger AI models faster.
    • Larger, Faster GDDR7 Memory: Boosts bandwidth and capacity — up to 96GB for workstations and servers and up to 24GB on laptops. This enables applications to run faster and work with larger, more complex datasets for everything from tackling massive 3D and AI projects to exploring large-scale virtual reality environments.
    • Ninth-Generation NVIDIA NVENC: Accelerates video encoding speed and improves quality for professional video applications with added support for 4:2:2 encoding.
    • Sixth-Generation NVIDIA NVDEC: Provides up to double the H.264 decoding throughput and offers support for 4:2:2 H.264 and HEVC decode. Professionals can benefit from high-quality video playback, accelerate video data ingestion and use advanced AI-powered video editing features.
    • Fifth-Generation PCIe: Support for fifth-generation PCI Express provides double the bandwidth over the previous generation, improving data transfer speeds from CPU memory and unlocking faster performance for data-intensive tasks.
    • DisplayPort 2.1: Drives high-resolution displays at up to 4K at 480Hz and 8K at 165Hz. Increased bandwidth enables seamless multi-monitor setups, while high dynamic range and higher color depth support deliver more precise color accuracy for tasks like video editing, 3D design and live broadcasting.
    • Multi-Instance GPU (MIG): The RTX PRO 6000 data center and desktop GPUs and 5000 series desktop GPUs feature MIG technology, enabling secure partitioning of a single GPU into up to four instances (6000 series) or two instances (5000 series). Fault isolation is designed to prevent workload interference for secure, efficient resource allocation for diverse workloads, maximizing performance and flexibility.

    The new laptop GPUs also support the latest NVIDIA Blackwell Max-Q technologies, which intelligently and continually optimize laptop performance and power efficiency with AI.

    With neural rendering and AI-augmented tools, NVIDIA RTX PRO Blackwell GPUs enable the creation of stunning visuals, digital twins of real-world environments and immersive experiences with unprecedented speed and efficiency. The GPUs are built to elevate 3D computer-aided design and building information model workflows, offering designers and engineers exceptional performance for complex modeling, rendering and visualization.

    Designed for enterprise data center deployments, the RTX PRO 6000 Blackwell Server Edition features a passively cooled thermal design and can be configured with up to eight GPUs per server. For workloads that require the compute density and scale that data centers offer, the RTX PRO 6000 Blackwell Server Edition delivers powerful performance for next-generation AI, scientific and visual computing applications across industries such as healthcare, manufacturing, retail and media and entertainment.

    In addition, this powerful data center GPU can be combined with NVIDIA vGPU™ software to power AI workloads across virtualized environments and deliver high-performance virtual workstation instances to remote users. NVIDIA vGPU support for the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU is expected in the latter half of this year.

    “Foster + Partners has tested the NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition GPU on Cyclops, our GPU-based ray-tracing product,” said Martha Tsigkari, head of applied research and development and senior partner at Foster + Partners. “The new NVIDIA Blackwell GPU has managed to outperform everything we have tested before. For example, when using it with Cyclops, it has performed at 5x the speed of NVIDIA RTX A6000 GPUs. Rendering speeds also increased 5x, allowing tools like Cyclops to provide feedback on how well our design solutions perform in real time as we design them and resulting in intuitive yet informed decision-making from early conceptual stages.”

    “Early evaluation of the RTX PRO 6000 Blackwell technology by GE HealthCare’s engineering team has found the potential for up to 2x GPU processing time improvement on reconstruction algorithms, which could lead to significant benefit to customers,” said Rekha Ranganathan, senior executive and general manager of platforms and digital solutions at GE HealthCare.

    “NVIDIA RTX PRO 6000 Blackwell Workstation Edition GPUs enable incredibly sharp and photorealistic graphics,” said Jeff Hammoud, chief design officer at Rivian. “In conjunction with a Varjo XR4 headset and Autodesk VRED, the system delivered the level of crispness necessary for immersive automotive design reviews. With NVIDIA Blackwell support for PCIe Gen 5, we used two powerful 600W GPUs via VR SLI, allowing us to achieve the highest pixel density and the most stunning visuals we have ever experienced in VR.”

    “The 96GB memory and massive AI processing power in the NVIDIA RTX PRO 6000 Blackwell Workstation Edition GPU has boosted our productivity up to 3x with AI models like Llama 3.3-70B and Mixtral 8x7b, the NVIDIA Omniverse platform and industrial copilots,” said Shaun Greene, director of industry solutions at SoftServe. “We’ve seen immediate performance improvements and, using workstations, can now handle AI workloads that were previously only possible in the cloud or on rack servers — unlocking new possibilities for interactive demos and production workloads in retail, manufacturing and industrial edge applications.”

    RTX PRO GPUs run on the NVIDIA AI platform and feature larger memory capacity and the latest Tensor Cores to accelerate a deep ecosystem of AI-accelerated applications built on NVIDIA CUDA® and RTX technology. With everything from the latest AI-based content creation tools and new reasoning models, such as the NVIDIA Llama Nemotron Reason family of models and NVIDIA NIM™ microservices unveiled today, inferencing is faster than ever. And with over 400 NVIDIA CUDA-X™ libraries, developers can easily build, optimize, deploy and scale new AI applications, from workstations to the data center or cloud.

    Enterprises can fast-track their AI development and deployments by prototyping locally with an NVIDIA RTX PRO GPU and the NVIDIA Omniverse™ and NVIDIA AI Enterprise platforms, NVIDIA Blueprints and NVIDIA NIM, which gives access to easy-to-use inference microservices backed by enterprise-level support. They can also run these applications at scale on the ultimate universal data center GPU for AI and visual computing, delivering breakthrough acceleration for the most demanding compute-intensive enterprise workloads with the RTX PRO 6000 Blackwell Server Edition.

    Availability
    The NVIDIA RTX PRO 6000 Blackwell Server Edition will soon be available in server configurations from leading data center system partners including Cisco, Dell Technologies, Hewlett Packard Enterprise, Lenovo and Supermicro.

    Cloud service providers and GPU cloud providers including AWS, Google Cloud, Microsoft Azure and CoreWeave will be among the first to offer instances powered by the NVIDIA RTX PRO 6000 Blackwell Server Edition later this year. In addition, the server edition GPU will be available in data center platforms from ASUS, GIGABYTE, Ingrasys, Quanta Cloud Technology (QCT) and other global system partners.

    The NVIDIA RTX PRO 6000 Blackwell Workstation Edition and NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition will be available through global distribution partners such as PNY and TD SYNNEX starting in April, with availability from manufacturers, such as BOXX, Dell, HP Inc., Lambda and Lenovo, starting in May.

    The NVIDIA RTX PRO 5000, RTX PRO 4500 and RTX PRO 4000 Blackwell GPUs will be available in the summer from BOXX, Dell, HP and Lenovo and through global distribution partners.

    NVIDIA RTX PRO Blackwell laptop GPUs will be available from Dell, HP, Lenovo and Razer starting later this year.

    To learn more about the NVIDIA RTX PRO Blackwell GPUs, watch the GTC keynote and register to attend sessions from NVIDIA and industry leaders at the show, which runs through March 21. Plus, explore extended-reality demos running on RTX PRO Blackwell GPUs at the XR Pavilion at The Tech Interactive museum.

    About NVIDIA
    NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

    For further information, contact:
    Pearlina Boc
    NVIDIA Corporation
    +1-562-275-5781
    pboc@nvidia.com

    Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, and performance of NVIDIA’s products, services, and technologies; third parties adopting or offering NVIDIA’s products and technologies; and bringing Blackwell to workstations and servers taking productivity, performance and speed to new heights, accelerating AI inference serving, data science, visualization and content creation are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

    Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.

    © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, CUDA, CUDA-X, NVIDIA NIM, NVIDIA Omniverse, NVIDIA RTX, NVIDIA RTX PRO and vGPU are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

    A photo accompanying this announcement is available at:
    https://www.globenewswire.com/NewsRoom/AttachmentNg/155918f9-2121-4220-9f20-6b968e34a460

    The MIL Network –

  • MIL-OSI: NVIDIA Announces Isaac GR00T N1 — the World’s First Open Humanoid Robot Foundation Model — and Simulation Frameworks to Speed Robot Development

    Source: GlobeNewswire (MIL-OSI)

    • Now Available, Fully Customizable Foundation Model Brings Generalized Skills and Reasoning to Humanoid Robots
    • NVIDIA, Google DeepMind and Disney Research Collaborate to Develop Next-Generation Open-Source Newton Physics Engine
    • New Omniverse Blueprint for Synthetic Data Generation and Open-Source Dataset Jumpstart Physical AI Data Flywheel

    SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) — GTC — NVIDIA today announced a portfolio of technologies to supercharge humanoid robot development, including NVIDIA Isaac GR00T N1, the world’s first open, fully customizable foundation model for generalized humanoid reasoning and skills.

    The other technologies include simulation frameworks and blueprints such as the NVIDIA Isaac GR00T Blueprint for generating synthetic data, as well as Newton, an open-source physics engine — under development with Google DeepMind and Disney Research — purpose-built for developing robots.

    Available now, GR00T N1 is the first of a family of fully customizable models that NVIDIA will pretrain and release to worldwide robotics developers — accelerating the transformation of industries challenged by global labor shortages estimated at more than 50 million people.

    “The age of generalist robotics is here,” said Jensen Huang, founder and CEO of NVIDIA. “With NVIDIA Isaac GR00T N1 and new data-generation and robot-learning frameworks, robotics developers everywhere will open the next frontier in the age of AI.”

    GR00T N1 Advances Humanoid Developer Community
    The GR00T N1 foundation model features a dual-system architecture, inspired by principles of human cognition. “System 1” is a fast-thinking action model, mirroring human reflexes or intuition. “System 2” is a slow-thinking model for deliberate, methodical decision-making.

    Powered by a vision language model, System 2 reasons about its environment and the instructions it has received to plan actions. System 1 then translates these plans into precise, continuous robot movements. System 1 is trained on human demonstration data and a massive amount of synthetic data generated by the NVIDIA Omniverse™ platform.

    GR00T N1 can easily generalize across common tasks — such as grasping, moving objects with one or both arms, and transferring items from one arm to another — or perform multistep tasks that require long context and combinations of general skills. These capabilities can be applied across use cases such as material handling, packaging and inspection.

    Developers and researchers can post-train GR00T N1 with real or synthetic data for their specific humanoid robot or task.

    In his GTC keynote, Huang demonstrated 1X’s humanoid robot autonomously performing domestic tidying tasks using a post-trained policy built on GR00T N1. The robot’s autonomous capabilities are the result of an AI training collaboration between 1X and NVIDIA.

    “The future of humanoids is about adaptability and learning,” said Bernt Børnich, CEO of 1X Technologies. “NVIDIA’s GR00T N1 model provides a major breakthrough for robot reasoning and skills. With a minimal amount of post-training data, we were able to fully deploy on NEO Gamma — furthering our mission of creating robots that are not tools, but companions that can assist humans in meaningful, immeasurable ways.”

    Among the additional leading humanoid developers worldwide with early access to GR00T N1 are Agility Robotics, Boston Dynamics, Mentee Robotics and NEURA Robotics.

    NVIDIA, Google DeepMind and Disney Research Focus on Physics
    NVIDIA announced a collaboration with Google DeepMind and Disney Research to develop Newton, an open-source physics engine that lets robots learn how to handle complex tasks with greater precision.

    Built on the NVIDIA Warp framework, Newton will be optimized for robot learning and compatible with simulation frameworks such as Google DeepMind’s MuJoCo and NVIDIA Isaac™ Lab. Additionally, the three companies plan to enable Newton to use Disney’s physics engine.

    Google DeepMind and NVIDIA are collaborating to develop MuJoCo-Warp, which is expected to accelerate robotics machine learning workloads by more than 70x and will be available to developers through Google DeepMind’s MJX open-source library, as well as through Newton.

    Disney Research will be one of the first to use Newton to advance its robotic character platform that powers next-generation entertainment robots, such as the expressive Star Wars-inspired BDX droids that joined Huang on stage during his GTC keynote.

    “The BDX droids are just the beginning. We’re committed to bringing more characters to life in ways the world hasn’t seen before, and this collaboration with Disney Research, NVIDIA and Google DeepMind is a key part of that vision,” said Kyle Laughlin, senior vice president at Walt Disney Imagineering Research & Development. “This collaboration will allow us to create a new generation of robotic characters that are more expressive and engaging than ever before — and connect with our guests in ways that only Disney can.”

    NVIDIA and Disney Research, along with Intrinsic, announced an additional collaboration to build OpenUSD pipelines and best practices for robotics data workflows.

    More Data to Advance Robotics Post-Training
    Large, diverse, high-quality datasets are critical for robot development but costly to capture. For humanoids, real-world human demonstration data is limited by a person’s 24-hour day.

    Announced today, the NVIDIA Isaac GR00T Blueprint for synthetic manipulation motion generation helps address this challenge. Built on Omniverse and NVIDIA Cosmos Transfer world foundation models, the blueprint lets developers generate exponentially large amounts of synthetic motion data for manipulation tasks from a small number of human demonstrations.

    Using the first components available for the blueprint, NVIDIA generated 780,000 synthetic trajectories — the equivalent of 6,500 hours, or nine continuous months, of human demonstration data — in just 11 hours. Then, combining the synthetic data with real data, NVIDIA improved GR00T N1’s performance by 40%, compared with using only real data.

    To further equip the developer community with valuable training data, NVIDIA is releasing the GR00T N1 dataset as part of a larger open-source physical AI dataset — also announced at GTC and now available on Hugging Face.

    Availability
    NVIDIA GR00T N1 training data and task evaluation scenarios are now available for download from Hugging Face and GitHub. The NVIDIA Isaac GR00T Blueprint for synthetic manipulation motion generation is also now available as an interactive demo on build.nvidia.com or to download from GitHub.

    The NVIDIA DGX Spark personal AI supercomputer, also announced today at GTC, provides developers a turnkey system to expand GR00T N1’s capabilities for new robots, tasks and environments without extensive custom programming.

    The Newton physics engine is expected to be available later this year.

    Learn more by watching the NVIDIA GTC keynote and register to attend key Humanoid Developer Day sessions, including:

    About NVIDIA
    NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

    For further information, contact:
    Kristin Bryson
    Enterprise Communications
    NVIDIA Corporation
    +1-203-241-9190
    kbryson@nvidia.com

    Certain statements in this press release including, but not limited to, statements as to the benefits, impact, availability, and performance of NVIDIA’s products, services, and technologies; NVIDIA’s collaborations with third parties; third parties adopting or offering NVIDIA’s products and technologies; and with NVIDIA Isaac GR00T N1 and new data generation and robot-learning frameworks, robotics developers everywhere opening the next frontier in the age of AI are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

    Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.

    © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA Omniverse and NVIDIA Isaac are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

    A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/65cf6342-e940-44c0-a40c-dfe09ac433c9

    The MIL Network –

  • MIL-OSI: NVIDIA Launches Family of Open Reasoning AI Models for Developers and Enterprises to Build Agentic AI Platforms

    Source: GlobeNewswire (MIL-OSI)

    • Post-Trained by NVIDIA, New Llama Nemotron Reasoning Models Provide Business-Ready Foundation for Agentic AI
    • Accenture, Amdocs, Atlassian, Box, Cadence, CrowdStrike, Deloitte, IQVIA, Microsoft, SAP and ServiceNow Pioneering Reasoning AI Agents With NVIDIA to Transform Work

    SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) — GTC — NVIDIA today announced the open Llama Nemotron family of models with reasoning capabilities, designed to provide developers and enterprises a business-ready foundation for creating advanced AI agents that can work independently or as connected teams to solve complex tasks.

    Built on Llama models, the NVIDIA Llama Nemotron reasoning family delivers on-demand AI reasoning capabilities. NVIDIA enhanced the new reasoning model family during post-training to improve multistep math, coding, reasoning and complex decision-making.

    This refinement process boosts accuracy of the models by up to 20% compared with the base model and optimizes inference speed by 5x compared with other leading open reasoning models. The improvements in inference performance mean the models can handle more complex reasoning tasks, enhance decision-making capabilities and reduce operational costs for enterprises.

    Leading agent AI platform pioneers — including Accenture, Amdocs, Atlassian, Box, Cadence, CrowdStrike, Deloitte, IQVIA, Microsoft, SAP and ServiceNow — are collaborating with NVIDIA on its new reasoning models and software.

    “Reasoning and agentic AI adoption is incredible,” said Jensen Huang, founder and CEO of NVIDIA. “NVIDIA’s open reasoning models, software and tools give developers and enterprises everywhere the building blocks to create an accelerated agentic AI workforce.”

    NVIDIA Post-Training Boosts Accuracy and Reliability for Enterprise Reasoning
    Built to deliver production-ready AI reasoning, the Llama Nemotron model family is available as NVIDIA NIM™ microservices in Nano, Super and Ultra sizes — each optimized for different deployment needs.

    The Nano model delivers the highest accuracy on PCs and edge devices, the Super model offers the best accuracy and highest throughput on a single GPU, and the Ultra model will provide maximum agentic accuracy on multi-GPU servers.

    NVIDIA conducted extensive post-training on NVIDIA DGX™ Cloud using high-quality curated synthetic data generated by NVIDIA Nemotron™ and other open models, as well as additional curated datasets cocreated by NVIDIA.

    The tools, datasets and post-training optimization techniques used to develop the models will be openly available, giving enterprises the flexibility to build their own custom reasoning models.

    Agentic Platforms Team With NVIDIA to Enhance Reasoning for Industries
    Agentic AI platform industry leaders are working with the Llama Nemotron reasoning models to deliver advanced reasoning to enterprises.

    Microsoft is integrating Llama Nemotron reasoning models and NIM microservices into Microsoft Azure AI Foundry. This expands the Azure AI Foundry model catalog with options for customers to enhance services like Azure AI Agent Service for Microsoft 365.

    SAP is tapping Llama Nemotron models to advance SAP Business AI solutions and Joule, the AI copilot from SAP. Additionally, it is using NVIDIA NIM and NVIDIA NeMo™ microservices to promote increased code completion accuracy for SAP ABAP programming language models.

    “We are collaborating with NVIDIA to integrate Llama Nemotron reasoning models into Joule to enhance our AI agents, making them more intuitive, accurate and cost effective,” said Walter Sun, global head of AI at SAP. “These advanced reasoning models will refine and rewrite user queries, enabling our AI to better understand inquiries and deliver smarter, more efficient AI-powered experiences that drive business innovation.”

    ServiceNow is harnessing Llama Nemotron models to build AI agents that offer greater performance and accuracy to enhance enterprise productivity across industries.

    Accenture has made NVIDIA Llama Nemotron reasoning models available on its AI Refinery platform — including new industry agent solutions announced today — to enable clients to rapidly develop and deploy custom AI agents tailored to industry-specific challenges, accelerating business transformation.

    Deloitte is planning to incorporate Llama Nemotron reasoning models into its recently announced Zora AI agentic AI platform designed to support and emulate human decision-making and action with agents that include deep functional- and industry-specific business knowledge and built-in transparency.

    NVIDIA AI Enterprise Delivers Essential Tools for Agentic AI
    Developers can deploy NVIDIA Llama Nemotron reasoning models with new NVIDIA agentic AI tools and software to streamline the adoption of advanced reasoning in collaborative AI systems.

    All part of the NVIDIA AI Enterprise software platform, the latest agentic AI building blocks include:

    • The NVIDIA AI-Q Blueprint, which enables enterprises to connect knowledge to AI agents that can autonomously perceive, reason and act. Built with NVIDIA NIM microservices, the blueprint integrates NVIDIA NeMo Retriever™ for multimodal information retrieval and enables agent and data connections, optimization and transparency using the open-source NVIDIA AgentIQ toolkit.
    • The NVIDIA AI Data Platform, a customizable reference design for a new class of enterprise infrastructure with AI query agents built with the AI-Q Blueprint.
    • New NVIDIA NIM microservices, which optimize inference for complex agentic AI applications and enable continuous learning and real-time adaptation across any environment. The microservices ensure reliable deployment of the latest models from leading model builders including Meta, Microsoft and Mistral AI.
    • NVIDIA NeMo microservices, which provide an efficient, enterprise-grade solution to quickly establish and maintain a robust data flywheel that enables AI agents to continuously learn from human- and AI-generated feedback. The NVIDIA AI Blueprint for building a data flywheel will offer a reference architecture for developers to easily build and optimize data flywheels using NVIDIA microservices.

    Availability
    The NVIDIA Llama Nemotron Nano and Super models and NIM microservices are available as a hosted application programming interface from build.nvidia.com and Hugging Face. Access for development, testing and research is free for members of the NVIDIA Developer Program.

    Enterprises can run Llama Nemotron NIM microservices in production with NVIDIA AI Enterprise on accelerated data center and cloud infrastructure. Developers can sign up to be notified when NVIDIA NeMo microservices are publicly available.

    The NVIDIA AI-Q Blueprint is expected to be available in April. The NVIDIA AgentIQ toolkit is available now on GitHub.

    About NVIDIA
    NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

    For further information, contact:
    Anna Kiachian
    NVIDIA Corporation
    +1-650-224-9820
    akiachian@nvidia.com

    Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA’s products, services, and technologies; third parties adopting NVIDIA’s products and technologies and the benefits and impact thereof; NVIDIA’s open reasoning models, software and tools giving developers and enterprises everywhere the building blocks to create an accelerated agentic AI workforce are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

    Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.

    © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, DGX, NVIDIA NeMo, NVIDIA Nemotron, NVIDIA NeMo Retriever and NVIDIA NIM are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

    A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/6b111210-07b7-4296-83fa-8c18c9acfbfc

    The MIL Network –

  • MIL-OSI United Nations: 18 March 2025 One man’s dream of a hepatitis-free Tanzania

    Source: World Health Organisation

    “I never showed any symptoms,” Shaibu said. “Even now I’m looking healthy, but I live with this disease. That’s why we call hepatitis a silent killer.”  

    After being diagnosed, isolation and grief set in. Shaibu and Latifu were separated from classmates. Due to inadequate awareness and knowledge about the disease, health workers refused to touch them due to fears of contracting the disease and their community shunned them.  

    Recounting the pain he experienced, Shaibu said, “Viral hepatitis changed my entire life, because from there I started to face stigma. That’s when I started to understand the importance of how people should be treated.” 

    Credit: WHO / Vicky Markolefa  

    Caption: Shaibu Issa looks at an old photograph of his brother Latifu Dini, who passed away due to liver cancer resulting from chronic hepatitis B. 

    Beyond stigma, Shaibu and his brother faced another hurdle. The cost of treatment was more than their family could afford, and it required travelling to Dar es Salaam from their rural home near Mtwara in southern Tanzania.  

    The family sold everything and fundraised but it wasn’t enough to cover the brothers’ ongoing treatment, in addition to their university fees. Later, Shaibu and Latifu would overcome all odds and finish university, but Latifu would lose his life to liver cancer. 

    “After losing my brother, it was very bad because I believed I was next,” recalls Shaibu. “But I came to realize many people globally are suffering with this disease and face stigma and discrimination. My brother inspired me to take responsibility to represent these people.  

    I can’t let many people die out there while I can speak,” he says. 

    Using social media to inspire change 

    An estimated 254 million people globally are living with chronic hepatitis B infection, and roughly 1.1 million people die each year from the infection, mostly resulting from cirrhosis or liver cancer.  In Tanzania, there are roughly 1.9 million people living with chronic hepatitis B, and most of the tests and treatments for the infection are either unavailable or unaffordable. 

    Despite many people living the disease in Tanzania, few people are aware of how the disease is transmitted, its symptoms or how it can be prevented. This lack of awareness and resulting misinformation is a key reason people like Shaibu face stigma and discrimination.

    For Shaibu, this presented an opportunity. When Shaibu was first diagnosed, “nobody talked about viral hepatitis,” he said. “The only information that prevailed was false information. I thought that if I needed to raise awareness to people, it’s very easy to meet many people on social media.  
    Today, Shaibu uses multiple digital platforms and also speaks at conferences, schools and universities to raise awareness about the importance of getting vaccinated against the disease as well as getting tested and treated. 

    Credit: WHO / Vicky Markolefa  

    Caption: Shaibu Issa looks at an old photograph of his brother Latifu Dini, who passed away due to liver cancer resulting from chronic hepatitis B. 

    Since Shaibu was not vaccinated as a child against hepatitis B due to the vaccine not being available where he lived, he also works to educate parents about the importance of vaccinating infants at birth, as recommended by WHO.  

    A national plan to tackle hepatitis  

    To respond to the hepatitis burden in Tanzania, the Ministry of Health with support from WHO, developed the Integrated Health Sector HIV, Viral Hepatitis and Sexually Transmitted Infections National Strategic Plan, which aligns to the WHO Global HIV, Hepatitis and STIs strategies 2022-2030.  In 2023, the country also launched a new integrated HIV and hepatitis programme known as the National AIDS, Sexually Transmitted Diseases and Hepatitis Control Program. This programme now plans, budgets and implements activities for each of the diseases in unison. 

    “We recognize the immense dedication of advocates like Shaibu, who are at the forefront of this battle against hepatitis in Tanzania,” said Dr Charles Sagoe-Moses, WHO Representative in Tanzania. “The ongoing collaboration between the Ministry of Health, WHO, and local advocates is critical to reducing the burden of hepatitis and achieving a world where no one suffers in silence.” 

    In addition, the Ministry of Health has updated integrated HIV and hepatitis guidelines and is continuing to increase awareness about viral hepatitis through mass, print and social media engagement, including through World Hepatitis Day activities.  

    The Ministry of Health is also providing hepatitis vaccination and treatment for at risk populations, such as, people who inject drugs, people with multiple sexual partners, healthcare workers, people living with chronic liver and kidney disease and diabetes, and immunosuppressed individuals, including people living with HIV. 

    With support from advocates like Shaibu, as well as efforts by the Ministry of Health, in partnership with WHO, the country is committed to fighting hepatitis. For Shaibu, this would be his dream.  

    “My main goal is to make Tanzania, Africa and the world free of hepatitis by encouraging people to get tested and to be vaccinated, but also those who are already infected to access timely treatment,” he said. 

    ———–

    Do you want to receive the latest news on vaccines and immunization? Click here to subscribe to the Global Immunization Newsletter.

    “,”datePublished”:”2025-03-18T17:50:53.0000000+00:00″,”image”:”https://www.who.int/images/default-source/departments/immunization-ivb/feature-stories/tanzania/hepatitisb–advocate-tanzania-who.jpg?sfvrsn=eeffaad4_3″,”publisher”:{“@type”:”Organization”,”name”:”World Health Organization: WHO”,”logo”:{“@type”:”ImageObject”,”url”:”https://www.who.int/Images/SchemaOrg/schemaOrgLogo.jpg”,”width”:250,”height”:60}},”dateModified”:”2025-03-18T17:50:53.0000000+00:00″,”mainEntityOfPage”:”https://www.who.int/news-room/feature-stories/detail/one-man-s-dream-of-a-hepatitis-free-tanzania”,”@context”:”http://schema.org”,”@type”:”Article”};
    ]]>

    MIL OSI United Nations News –

  • MIL-OSI Security: 2024 FOIA Litigation and Compliance Report Now Available

    Source: United States Attorneys General 13

    Earlier this month, the Office of Information Policy (OIP) posted the Department’s 2024 FOIA Litigation and Compliance Report.  In accordance with the FOIA, each year the Department of Justice submits to Congress and the President a report detailing OIP’s efforts to encourage agency compliance with the FOIA.  The report highlights the many ways that OIP works to provide guidance, trainings, and counseling to agencies to assist them in their FOIA administration and to promote agency accountability.  The report also contains lists of all FOIA litigation cases received and decided in the prior calendar year. 

    This year’s report highlights new guidance issued by OIP such as guidance for further improvement in light of OIP’s assessment of agency Chief FOIA Officer Reports and guidance on FOIA reporting requirements.  As detailed in the 2024 Report, OIP fielded over 750 direct one-on-one counseling calls via OIP’s FOIA Counselor Line.  OIP also hosted and facilitated numerous training programs and briefings on the FOIA and offered training to over 8,000 registered attendees.  The Report also summarizes the recently updated chapters to the DOJ Guide to the FOIA, searchable summaries of court decisions, and information about FOIA news and events published in the FOIA Post blog.

    The 2024 Report also details OIP’s work in continuing to maintain and enhance the National FOIA Portal on FOIA.gov that allows the public to submit a request to any Federal agency from a single site.  In 2024, OIP enhanced the FOIA Search Tool on FOIA.gov that utilizes machine learning to help members of the public quickly and accurately locate commonly requested records.  OIP continues to refine the tool to best serve the public.  

    Along with the narrative portion of the report, every year OIP compiles charts listing the FOIA litigation cases received and decided during the reporting year.  As in previous years, OIP again provides these charts in both PDF and open (CSV) formats.

    OIP invites both agencies and the public to review its 2024 Litigation and Compliance Report to learn more about all our efforts to encourage agency compliance with the FOIA.  OIP looks forward to building on these efforts as we continue to work with agencies and the public to improve the overall administration of the FOIA in the years ahead.

    MIL Security OSI –

  • MIL-OSI: NVIDIA Dynamo Open-Source Library Accelerates and Scales AI Reasoning Models

    Source: GlobeNewswire (MIL-OSI)

    SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) — GTC — NVIDIA today unveiled NVIDIA Dynamo, an open-source inference software for accelerating and scaling AI reasoning models in AI factories at the lowest cost and with the highest efficiency.

    Efficiently orchestrating and coordinating AI inference requests across a large fleet of GPUs is crucial to ensuring that AI factories run at the lowest possible cost to maximize token revenue generation.

    As AI reasoning goes mainstream, every AI model will generate tens of thousands of tokens used to “think” with every prompt. Increasing inference performance while continually lowering the cost of inference accelerates growth and boosts revenue opportunities for service providers.

    NVIDIA Dynamo, the successor to NVIDIA Triton Inference Server™, is new AI inference-serving software designed to maximize token revenue generation for AI factories deploying reasoning AI models. It orchestrates and accelerates inference communication across thousands of GPUs, and uses disaggregated serving to separate the processing and generation phases of large language models (LLMs) on different GPUs. This allows each phase to be optimized independently for its specific needs and ensures maximum GPU resource utilization.

    “Industries around the world are training AI models to think and learn in different ways, making them more sophisticated over time,” said Jensen Huang, founder and CEO of NVIDIA. “To enable a future of custom reasoning AI, NVIDIA Dynamo helps serve these models at scale, driving cost savings and efficiencies across AI factories.”

    Using the same number of GPUs, Dynamo doubles the performance and revenue of AI factories serving Llama models on today’s NVIDIA Hopper™ platform. When running the DeepSeek-R1 model on a large cluster of GB200 NVL72 racks, NVIDIA Dynamo’s intelligent inference optimizations also boost the number of tokens generated by over 30x per GPU.

    To achieve these inference performance improvements, NVIDIA Dynamo incorporates features that enable it to increase throughput and reduce costs. It can dynamically add, remove and reallocate GPUs in response to fluctuating request volumes and types, as well as pinpoint specific GPUs in large clusters that can minimize response computations and route queries. It can also offload inference data to more affordable memory and storage devices and quickly retrieve them when needed, minimizing inference costs.

    NVIDIA Dynamo is fully open source and supports PyTorch, SGLang, NVIDIA TensorRT™-LLM and vLLM to allow enterprises, startups and researchers to develop and optimize ways to serve AI models across disaggregated inference. It will enable users to accelerate the adoption of AI inference, including at AWS, Cohere, CoreWeave, Dell, Fireworks, Google Cloud, Lambda, Meta, Microsoft Azure, Nebius, NetApp, OCI, Perplexity, Together AI and VAST. 

    Inference Supercharged
    NVIDIA Dynamo maps the knowledge that inference systems hold in memory from serving prior requests — known as KV cache — across potentially thousands of GPUs.

    It then routes new inference requests to the GPUs that have the best knowledge match, avoiding costly recomputations and freeing up GPUs to respond to new incoming requests.

    “To handle hundreds of millions of requests monthly, we rely on NVIDIA GPUs and inference software to deliver the performance, reliability and scale our business and users demand,” said Denis Yarats, chief technology officer of Perplexity AI. “We look forward to leveraging Dynamo, with its enhanced distributed serving capabilities, to drive even more inference-serving efficiencies and meet the compute demands of new AI reasoning models.”

    Agentic AI
    AI provider Cohere is planning to power agentic AI capabilities in its Command series of models using NVIDIA Dynamo.

    “Scaling advanced AI models requires sophisticated multi-GPU scheduling, seamless coordination and low-latency communication libraries that transfer reasoning contexts seamlessly across memory and storage,” said Saurabh Baji, senior vice president of engineering at Cohere. “We expect NVIDIA Dynamo will help us deliver a premier user experience to our enterprise customers.”

    Disaggregated Serving
    The NVIDIA Dynamo inference platform also supports disaggregated serving, which assigns the different computational phases of LLMs — including building an understanding of the user query and then generating the best response — to different GPUs. This approach is ideal for reasoning models like the new NVIDIA Llama Nemotron model family, which uses advanced inference techniques for improved contextual understanding and response generation. Disaggregated serving allows each phase to be fine-tuned and resourced independently, improving throughput and delivering faster responses to users.

    Together AI, the AI Acceleration Cloud, is looking to integrate its proprietary Together Inference Engine with NVIDIA Dynamo to enable seamless scaling of inference workloads across GPU nodes. This also lets Together AI dynamically address traffic bottlenecks at various stages of the model pipeline.

    “Scaling reasoning models cost effectively requires new advanced inference techniques, including disaggregated serving and context-aware routing,” said Ce Zhang, chief technology officer of Together AI. “Together AI provides industry-leading performance using our proprietary inference engine. The openness and modularity of NVIDIA Dynamo will allow us to seamlessly plug its components into our engine to serve more requests while optimizing resource utilization — maximizing our accelerated computing investment. We’re excited to leverage the platform’s breakthrough capabilities to cost-effectively bring open-source reasoning models to our users.”

    NVIDIA Dynamo Unpacked
    NVIDIA Dynamo includes four key innovations that reduce inference serving costs and improve user experience:

    • GPU Planner: A planning engine that dynamically adds and removes GPUs to adjust to fluctuating user demand, avoiding GPU over- or under-provisioning.
    • Smart Router: An LLM-aware router that directs requests across large GPU fleets to minimize costly GPU recomputations of repeat or overlapping requests — freeing up GPUs to respond to new incoming requests.
    • Low-Latency Communication Library: An inference-optimized library that supports state-of-the-art GPU-to-GPU communication and abstracts complexity of data exchange across heterogenous devices, accelerating data transfer.
    • Memory Manager: An engine that intelligently offloads and reloads inference data to and from lower-cost memory and storage devices without impacting user experience. 

    NVIDIA Dynamo will be made available in NVIDIA NIM™ microservices and supported in a future release by the NVIDIA AI Enterprise software platform with production-grade security, support and stability.

    Learn more by watching the NVIDIA GTC keynote, reading this blog on Dynamo and registering for sessions from NVIDIA and industry leaders at the show, which runs through March 21.

    About NVIDIA
     NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

    For further information, contact:
    Cliff Edwards
    NVIDIA Corporation
    +1-415-699-2755
    cliffe@nvidia.com

    Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA’s products, services, and technologies; third parties adopting NVIDIA’s products and technologies and the benefits and impact thereof; industries around the world training AI models to think and learn in different ways, making them more sophisticated over time; and to enable a future of custom reasoning AI, NVIDIA Dynamo helping serve these models at scale, driving cost savings and efficiencies across AI factories are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

    Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.

    © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA Hopper, NVIDIA NIM, NVIDIA Triton Inference Server and TensorRT are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

    A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/e82546dd-6224-4ebb-8d5a-3476d18e97d0

    The MIL Network –

  • MIL-OSI: NexusX Achieves Highest Level Compliance Certification from the Asia-Pacific Financial Alliance (APFA), Setting a New Benchmark for Global Digital Asset Trading

    Source: GlobeNewswire (MIL-OSI)

    Los Angeles, CA, March 18, 2025 (GLOBE NEWSWIRE) — Global leading cryptocurrency exchange NexusX today announced that it has officially received the “AAA Digital Asset Service Provider” certification from the Asia-Pacific Financial Alliance (APFA). This makes it the first digital asset trading platform in the world to meet the top three standards for anti-money laundering (AML), user asset segregation, and operational transparency. This certification further solidifies NexusX’s position as a top-tier compliant exchange globally, providing users with a safer, more transparent, and compliant digital asset trading environment.

    NexusX: A Global Leader in Compliant Cryptocurrency Trading

    NexusX is a cryptocurrency exchange registered in the United States and holds a FinCEN MSB license. It is dedicated to providing secure, efficient, and compliant cryptocurrency trading services to users worldwide. Recognized by international financial regulatory bodies, NexusX employs top-tier security technologies, AI-driven risk control systems, and global liquidity support to offer a diverse range of financial products, including spot trading, futures trading, DeFi trading, and NFT trading.

    Achieving the APFA certification further demonstrates NexusX’s industry-leading position in financial compliance, security regulation, and user asset protection.

    NexusX Enhances Trading Security Through APFA Certification

    APFA is one of the most authoritative financial regulatory organizations in the Asia-Pacific region, and its “AAA Digital Asset Service Provider” certification is considered the highest compliance standard globally. According to the compliance audit report released by APFA, NexusX excels in the following areas:

     – Cold wallet reserve coverage rate of 102%, ensuring complete asset segregation and protection against hacking and fund misappropriation risks.

    – All fiat assets are held in partner banks regulated by the International Banking Association (IBA), ensuring the safety and compliance of fiat funds.

    – An intelligent anti-money laundering (AML) system that covers 20 countries, capable of automatically monitoring and blocking suspicious transactions, significantly enhancing platform security.

    – Transparent and verifiable operational data, with all transaction data synchronized in real-time to financial regulatory agencies in various countries, ensuring legality and compliance.

    “Compliance is the cornerstone of global service,” said Jonathan Reynolds, CEO of NexusX, at the press conference. “NexusX has successfully integrated regulatory interfaces from 20 countries through our self-developed regulatory sandbox system, achieving real-time compliance for trading data.” This means that both individual users and institutional investors can enjoy bank-level security and transparency when trading on NexusX.

    NexusX Achieves 95% Retention Rate Among Institutional Investors, Becoming a Trusted Exchange

    In the context of global regulatory compliance, NexusX’s market performance continues to rise. According to the latest disclosures from the internationally recognized auditing firm VeriTrust:

    – In Q2 2025, NexusX’s trading volume in the global compliant market reached 38%, far exceeding the industry average.

    – NexusX boasts a retention rate of 95% among institutional investors, making it one of the most trusted digital currency trading platforms by institutions.

    – Daily trading volume has significantly increased, with global users surpassing 15 million, making it one of the fastest-growing digital asset trading platforms worldwide.

    Industry analysts believe that NexusX, as the safest and most compliant cryptocurrency exchange globally, is attracting an increasing number of Wall Street investment banks, hedge funds, and sovereign funds to enter the crypto market due to its robust compliance system, advanced trading technology, and solid market performance.

    NexusX’s Future Development Strategy: Building the Safest Digital Asset Trading Ecosystem

    As NexusX rapidly develops in the global market, the platform will continue to strengthen its compliance framework and promote the legitimization of the global digital asset market:

    – Expanding Global Compliance Licenses: Plans to apply for higher-level digital asset trading licenses in key markets such as the EU, Japan, Singapore, UAE, and Australia.

    – Upgrading AI Trading Risk Control Systems: Utilizing artificial intelligence and big data analytics to optimize trading security and reduce market manipulation risks.

    – Launching Institutional-Level Compliance Services: Collaborating with top international legal teams and auditing firms to attract more large financial institutions, family offices, and fund companies into the NexusX ecosystem.

    – Enhancing On-Chain Asset Management: Using smart contracts and transparent on-chain ledgers to ensure all transactions are verifiable, traceable, and auditable, completely eliminating malicious manipulation.

    Industry experts point out that NexusX’s APFA certification signifies its compliance capabilities equivalent to traditional financial institutions, positioning NexusX to become the most trusted trading platform in the global digital asset trading market. This certification not only boosts confidence among global investors but also drives the entire industry toward a more compliant, transparent, and secure future.

    Disclaimer: The information provided in this press release is not a solicitation for investment, nor is it intended as investment advice, financial advice, or trading advice. It is strongly recommended you practice due diligence, including consultation with a professional financial advisor, before investing in or trading cryptocurrency and securities.

    Website: https://trade.nexusxing.com

    The MIL Network –