In July, NVIDIA joined more than 200 companies and organizations in signing “Open Weights and American AI Leadership,” an open letter arguing that AI leadership will be measured not by any single frontier model but by whether an open ecosystem reaches every sector.
Telecom operators have seen remarkable returns from using generative AI to automate network management, customer care and back-office operations. Most of that impact has been task‑based: automation that speeds up predetermined steps while people manually correlate insights and direct next steps. Automation is no longer the finish line — it’s the launchpad to autonomy. The […]
The next era of AI will not be defined by compute alone. Its growth will be determined by energy. As accelerated computing scales across AI factories, agentic AI, industrial AI, edge computing and physical AI — including robotics and autonomous systems — global electricity demand is rising at unprecedented speed. In many regions, expanding grid […]
NVIDIA XR AI is now available in public beta, giving developers a framework for building multimodal AI agents for AR glasses and XR devices.
Manufacturing’s traditional design-build-test cycle rested on a single assumption: Real-world testing was the only reliable test environment.
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 […]
NVIDIA and Apple’s collaboration brings native integration of NVIDIA CloudXR 6.0 to visionOS, securely delivering NVIDIA RTX-powered simulators and professional 3D graphics applications — like Immersive for Autodesk VRED on Innoactive’s XR streaming solutions — to Apple Vision Pro.
Roche’s new deployment spans more than 3,500 NVIDIA Blackwell GPUs across its worldwide operations and embedded across the entire value chain, massively scaling R&D productivity, next-generation diagnostics and manufacturing efficiencies.
Industrial AI, digital twins, AI physics and accelerated AI infrastructure are empowering companies across industries to accelerate and scale the design, simulation and optimization of products, processes and facilities before building in the real world.
NVIDIA founder and CEO Jensen Huang and Dassault Systèmes CEO Pascal Daloz announced a partnership to build a shared industrial AI architecture, merging virtual twins with physics-based AI to redefine the future of design, engineering and manufacturing.
Cities worldwide face unprecedented challenges as urban populations surge and infrastructure strains to keep pace.
Five finalists for the esteemed high-performance computing award have achieved breakthroughs in climate modeling, fluid simulation and more with the Alps, JUPITER and Perlmutter supercomputers — with two winners taking home the prize.
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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At SC25, NVIDIA unveiled advances across NVIDIA BlueField DPUs, next-generation networking, quantum computing, national research, AI physics and more — as accelerated systems drive the next chapter in AI supercomputing. NVIDIA also highlighted storage innovations powered by the NVIDIA BlueField-4 data processing unit, part of the full-stack BlueField platform that accelerates gigascale AI infrastructure. More
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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.
Along the Pacific Ocean in Monterey, California, the Naval Postgraduate School (NPS) is making a splash all the way to Washington, D.C.: It’s using artificial intelligence to solve operational challenges while educating tomorrow’s leaders in AI skills. Like Silicon Valley, it’s not uncommon for NPS, the U.S. Navy’s flagship academic graduate university, to hold hackathons,
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The race to bottle a star now runs on AI. NVIDIA, General Atomics and a team of international partners have built a high-fidelity, AI-enabled digital twin for a fusion reactor with interactive performance, with technical support from San Diego Supercomputer Center at UC San Diego School of Computing, Information and Data Sciences, the Argonne Leadership
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Lilly, a pioneer in medicine, is deploying the largest, most powerful AI factory wholly owned and operated by a pharmaceutical company — pharma’s first NVIDIA DGX SuperPOD with DGX B300 systems.
During the GTC Washington, D.C., keynote today, NVIDIA founder and CEO Jensen Huang introduced NVIDIA Omniverse DSX, a comprehensive, open blueprint for designing and operating gigawatt-scale AI factories — validated at the new AI Factory Research Center at Digital Realty’s site in Manassas, Virginia. The blueprint brings together ecosystem partners across the industry that are
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