Articles tagged with "NVIDIA"
NVIDIA launches Newton physics engine and GR00T AI at CoRL 2025 - The Robot Report
NVIDIA has introduced several advancements to accelerate robotics research, unveiling the beta release of Newton, an open-source, GPU-accelerated physics engine managed by the Linux Foundation. Developed collaboratively with Google DeepMind and Disney Research, Newton is built on NVIDIA’s Warp and OpenUSD frameworks and is designed to simulate physical AI bodies. Alongside Newton, NVIDIA announced the latest version of the Isaac GR00T N1.6 robot foundation model, soon to be available on Hugging Face. This model integrates Cosmos Reason, an open, customizable vision language model (VLM) that enables robots to convert vague instructions into detailed plans by leveraging prior knowledge, common sense, and physics, thus enhancing robots’ ability to reason, adapt, and generalize across tasks. At the Conference on Robot Learning (CoRL) 2025 in Seoul, NVIDIA highlighted Cosmos Reason’s role in enabling robots to handle ambiguous or novel instructions through multi-step inference and AI reasoning, akin to how language models process text. This capability is
roboticsAIphysics-engineNVIDIArobot-simulationmachine-learningIsaac-GR00TAWS, NVIDIA, and MassRobotics pick Diligent for first Physical AI Fellowship cohort - The Robot Report
MassRobotics, AWS, and NVIDIA have launched the Physical AI Fellowship to support startups integrating robotics and artificial intelligence for practical applications. Diligent Robotics, known for its AI-native mobile manipulator robot Moxi, was selected for the inaugural cohort. Moxi assists nurses in over 25 U.S. hospitals by performing routine tasks like medication and lab sample delivery, saving nearly 600,000 staff hours and completing over 1 million tasks. The fellowship offers Diligent Robotics $200,000 in AWS cloud credits, access to NVIDIA platforms and Deep Learning Institute resources, and support from MassRobotics’ testbed and ecosystem, aiming to accelerate development of autonomous humanoid robots and enhance Moxi’s intelligence layer. The Physical AI Fellowship is designed to fast-track startups building intelligent physical systems by providing technical guidance, hardware, and global networking opportunities. The program will culminate in showcases at major events including AWS re:Invent 2025. Diligent Robotics plans to use the fellowship to expand
roboticsartificial-intelligenceautomationhealthcare-robotsphysical-AIAWSNVIDIANVIDIA investing $100B in OpenAI data centers for next-gen AI
OpenAI and NVIDIA have entered a landmark partnership, with NVIDIA committing up to $100 billion to build massive AI data centers that will deploy at least 10 gigawatts of compute power using millions of NVIDIA GPUs. The first gigawatt of this capacity is expected to go live in the second half of 2026 on NVIDIA’s upcoming Vera Rubin platform. NVIDIA CEO Jensen Huang described the collaboration as a “next leap forward” for both companies, highlighting that the 10 gigawatts equate to roughly 4 to 5 million GPUs—double the number shipped by NVIDIA last year. This massive infrastructure investment underscores the deep ties between the two companies and their joint efforts to power the next era of AI intelligence. OpenAI CEO Sam Altman emphasized that compute infrastructure is central to OpenAI’s mission and will form the foundation of the future economy. He noted the challenge of balancing research, product development, and scaling infrastructure, promising significant developments in the coming months. OpenAI cofounder Greg
energydata-centersAI-infrastructureNVIDIAOpenAIGPUscompute-powerNVIDIA invests $5B in Intel, launches joint AI and PC chip venture
NVIDIA is investing $5 billion in Intel, becoming one of its largest shareholders and forming a strategic partnership to jointly develop future data center and PC chips. This collaboration aims to combine Intel’s x86 CPU architecture with NVIDIA’s AI and GPU technologies, with Intel building custom CPUs for NVIDIA’s AI infrastructure and manufacturing x86 system-on-chips integrated with NVIDIA RTX GPU chiplets for high-performance personal computers. The deal provides a significant boost to Intel, which has struggled in recent years, as evidenced by a 23% surge in its stock price following the announcement. The partnership leverages the strengths of both companies: Intel’s foundational x86 architecture, manufacturing capabilities, and advanced packaging, alongside NVIDIA’s AI leadership and CUDA architecture. Analysts view NVIDIA’s involvement as a pivotal moment for Intel, repositioning it from an AI laggard to a key player in AI infrastructure. The collaboration also has competitive implications, potentially challenging rivals like AMD and TSMC, which currently manufactures NVIDIA’s top processors. The
semiconductorsAI-chipsNVIDIAInteldata-centersPC-processorsAI-infrastructureNuro closes $203M to propel AI-first self-driving tech, commercial partnerships - The Robot Report
Nuro Inc., a Mountain View-based autonomous vehicle company, has closed a $203 million Series E funding round at a $6 billion valuation. The capital will be used to scale its AI-first autonomous driving technology and expand commercial partnerships. Founded in 2016, Nuro combines advanced artificial intelligence with automotive-grade hardware to offer its Nuro Driver system, which supports applications including robotaxis, commercial fleets, and personally owned vehicles. The company has deployed its autonomous vehicles at city scale without safety drivers across multiple U.S. states and internationally, including a recent test fleet in Japan. Key commercial partnerships highlighted include a collaboration with Lucid and Uber to launch a next-generation ride-hailing service, aiming to deploy over 20,000 Lucid vehicles integrated with Nuro Driver starting in 2026. Uber also invested in Nuro as part of this funding round, contingent on meeting development milestones. Investors in the round include returning backers Baillie Gifford and NVIDIA—whose DRIVE AGX
robotautonomous-vehiclesAIself-driving-technologyNuroNVIDIAcommercial-partnershipsNVIDIA, NSF invest $150M in open AI to turbocharge US science
NVIDIA and the U.S. National Science Foundation (NSF) have jointly committed over $150 million to develop open, multimodal AI models aimed at accelerating scientific discovery and maintaining U.S. leadership in AI-driven research. This partnership supports the Open Multimodal AI Infrastructure to Accelerate Science (OMAI) project, led by the Allen Institute for AI (Ai2). The NSF is contributing $75 million, while NVIDIA provides $77 million in advanced technology, including NVIDIA HGX B300 systems with Blackwell Ultra GPUs and the NVIDIA AI Enterprise software platform. These resources are designed to handle large-scale AI workloads, enabling faster model training and inference. OMAI will produce a fully open suite of large language models capable of processing diverse scientific data types such as text, images, graphs, and tables. These models will help researchers analyze data more rapidly, generate code and visualizations, and link new insights to existing knowledge, with applications ranging from material discovery to protein function prediction. All models,
AIscientific-researchmaterials-discoveryNVIDIANSFmultimodal-AI-modelsopen-source-AISmuggled NVIDIA chips flood China despite US export crackdown
A Financial Times investigation reveals that despite the U.S. government's export controls introduced in April 2025 banning NVIDIA’s China-specific H20 AI chips, over $1 billion worth of smuggled NVIDIA B200 and other restricted chips have flooded the Chinese market. These chips are openly sold on Chinese social media platforms like Douyin and Xiaohongshu, often alongside other high-end NVIDIA products, and are purchased by local data center suppliers serving major AI firms. The black market emerged rapidly after the export ban, with sellers even promising access to next-generation B300 chips ahead of official launches. NVIDIA maintains that it does not sell restricted chips to Chinese customers and does not support unauthorized deployments, emphasizing that datacenters require official service and support. CEO Jensen Huang has downplayed the extent of chip diversion and criticized export controls as ineffective, arguing they may accelerate China’s independent AI hardware development, potentially undermining U.S. leadership. The U.S. government is pressuring allies like Singapore, where arrests
semiconductorAI-chipsNVIDIAexport-controlsblack-marketdata-centerschip-smugglingNEXCOM NexCOBOT unit joins NVIDIA Halos AI Systems Inspection Lab - The Robot Report
NEXCOM Group’s NexCOBOT unit has joined NVIDIA’s Halos AI Systems Inspection Lab to collaboratively advance the safe development of humanoid and AI robots. This partnership aims to streamline the complex and resource-intensive process of achieving functional safety certifications for robotic systems. NexCOBOT, specializing in safe robot controls and based in New Taipei City with offices in Fremont, California, will integrate its products with NVIDIA’s IGX Thor platform and the expanded Halos platform. This integration is designed to create a unified development environment that encompasses AI, motion control, and functional safety, thereby accelerating innovation and simplifying robot design verification and certification processes. NVIDIA’s Halos AI Systems Inspection Lab is notable as the first ANSI National Accreditation Board (ANAB)-accredited lab that combines functional safety, cybersecurity, AI, and regulatory compliance into a single safety framework. NexCOBOT’s participation reflects its long-standing commitment to functional safety, leveraging international standards such as IEC 61508 and ISO 13849-1 to help
robotAIfunctional-safetyroboticsNVIDIAmotion-controlhumanoid-robotsMIT-NVIDIA create robot tech that plans thousands of moves in secs
robotroboticsalgorithmtask-planningmotion-planningindustrial-automationNVIDIANVIDIA releases cloud-to-robot computing platforms for physical AI, humanoid development - The Robot Report
robothumanoidAINVIDIAroboticsautomationphysical-AI