NVIDIA and Google Cloud have collaborated for more than a decade, co‑engineering a full‑stack AI platform that spans every technology layer — from performance‑optimized libraries and frameworks to enterprise‑grade cloud services. This foundation enables developers, startups and enterprises to push agentic and physical AI out of the lab and into production — from agents that […]
Manufacturing is at an inflection point. Across every major industrial economy, the pressure to do more with less — due to faster design cycles, leaner operations and strain on skilled labor pools — is accelerating the shift to AI-driven production. The question is no longer whether to adopt AI, but how fast and at what […]
Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners, and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. NVIDIA GTC last week showcased a turning point in physical AI: Robots, vehicles and factories are scaling from single use cases and […]
The latest open models and frameworks from NVIDIA bring together simulation, robot learning and embedded compute to accelerate cloud-to-robot workflows.
India is entering a new age of industrialization, as AI transforms how the world designs, builds and runs physical products and systems. The country is investing $134 billion dollars in new manufacturing capacity across construction, automotive, renewable energy and robotics, creating both a massive challenge and opportunity to build software-defined factories from day one. At
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Open source has become essential for driving innovation in robotics and autonomy. By providing access to critical infrastructure — from simulation frameworks to AI models — NVIDIA is enabling collaborative development that accelerates the path to safer, more capable autonomous systems.
NVIDIA is enabling a new era of AI-defined driving, bringing its NVIDIA DRIVE AV software with enhanced level 2 point-to-point driver assistance capabilities to U.S. roads, expected by end of this year — starting with Mercedes-Benz, a long-standing partner in advancing safe, intelligent mobility. The all-new Mercedes-Benz CLA — the brand’s first vehicle featuring the
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Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advancements in OpenUSD and NVIDIA Omniverse. Physical AI is moving from research labs into the real world, powering intelligent robots and autonomous vehicles (AVs) — such as robotaxis
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At AWS re:Invent, NVIDIA and Amazon Web Services expanded their strategic collaboration with new technology integrations across interconnect technology, cloud infrastructure, open models and physical AI. As part of this expansion, AWS will support NVIDIA NVLink Fusion — a platform for custom AI infrastructure — for deploying its custom-designed silicon, including next-generation Trainium4 chips for
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Researchers worldwide rely on open-source technologies as the foundation of their work. To equip the community with the latest advancements in digital and physical AI, NVIDIA is further expanding its collection of open AI models, datasets and tools — with potential applications in virtually every research field. At NeurIPS, one of the world’s top AI
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Cities worldwide face unprecedented challenges as urban populations surge and infrastructure strains to keep pace.
Timed with the Microsoft Ignite conference running this week, NVIDIA is expanding its collaboration with Microsoft, including through the adoption of next-generation NVIDIA Spectrum-X Ethernet switches for the new Microsoft Fairwater AI superfactory, powered by the NVIDIA Blackwell platform. The collaboration brings new integrations across Microsoft 365 Copilot, as well as the public preview of
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Two out of every three people are likely to be living in cities or other urban centers by 2050, according to the United Nations, meaning about 2.5 billion people could be added to urban areas by the middle of the century. This highlights an urgent need for more sustainable urban planning and public services. The
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Physical AI models — which power robots, autonomous vehicles and other intelligent machines — must be safe, generalized for dynamic scenarios and capable of perceiving, reasoning and operating in real time.
Furthering its deep commitment to open source, NVIDIA is unveiling new open-source AI technologies for language, robotics and biology — contributing to an open ecosystem that broadens access to AI and fuels U.S. innovation. These open technologies will empower developers worldwide and strengthen economic growth through efficient reasoning, high-fidelity world generation and interactive physical AI
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When the Society of Automotive Engineers established its framework for vehicle autonomy in 2014, it created the industry-standard roadmap for self-driving technology. The levels of automation progress from level 1 (driver assistance) to level 2 (partial automation), level 3 (conditional automation), level 4 (high automation) and level 5 (full automation). Predicting when each level would
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AI models are advancing at a rapid rate and scale. But what might they lack that (most) humans don’t? Common sense: an understanding, developed through real-world experiences, that birds can’t fly backwards, mirrors are reflective and ice melts into water. While such principles seem obvious to humans, they must be taught to AI models tasked
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AI and graphics research breakthroughs in neural rendering, 3D generation and world simulation power robotics, autonomous vehicles and content creation.
AI agents are poised to deliver as much as $450 billion from revenue gains and cost savings by 2028, according to Capgemini. Developers building these agents are turning to higher-performing reasoning models to improve AI agent platforms and physical AI systems. At SIGGRAPH, NVIDIA today announced an expansion of two model families with reasoning capabilities
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Packing the power of the NVIDIA Blackwell architecture in compact, energy-efficient form factors, the NVIDIA RTX PRO 4000 Blackwell SFF Edition and NVIDIA RTX PRO 2000 Blackwell GPUs are coming soon — delivering AI acceleration for professional workflows across industries. Applications are becoming increasingly AI accelerated, and more users need AI performance, no matter the
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