Lilly this week launched the most powerful AI factory wholly owned and operated by a pharmaceutical company to help its teams make meaningful medical advancements faster, more accurately and at unprecedented scale. Dubbed LillyPod, it’s the world’s first NVIDIA DGX SuperPOD with DGX B300 systems.
NVIDIA will join the U.S. Department of Energy’s (DOE) Genesis Mission as a private industry partner to keep U.S. AI both the leader and the standard in technology around the world. The Genesis Mission, which is part of an Executive Order recently signed by President Trump, aims to redefine American leadership in AI across three
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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.
Across quantum physics, digital biology and climate research, the world’s researchers are harnessing a universal scientific instrument to chart new frontiers of discovery: accelerated computing. At this week’s SC25 conference in St. Louis, Missouri, NVIDIA announced that over 80 new scientific systems powered by the NVIDIA accelerated computing platform have been unveiled around the globe
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NVIDIA Apollo — a family of open models for accelerating industrial and computational engineering — was introduced today at the SC25 conference in St. Louis. Accelerated by NVIDIA AI infrastructure, the new AI physics models will enable developers to integrate real-time capabilities into their simulation software across a broad range of industries. The NVIDIA Apollo
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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.
Microsoft Azure today announced the new NDv6 GB300 VM series, delivering the industry’s first supercomputing-scale production cluster of NVIDIA GB300 NVL72 systems, purpose-built for OpenAI’s most demanding AI inference workloads. This supercomputer-scale cluster features over 4,600 NVIDIA Blackwell Ultra GPUs connected via the NVIDIA Quantum-X800 InfiniBand networking platform. Microsoft’s unique systems approach applied radical engineering
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The U.K. was the center of the AI world this week as NVIDIA, U.K. and U.S. leaders announced new initiatives toward making the nation an AI superpower. NVIDIA founder and CEO Jensen Huang’s visit to the U.K. this week culminated in an NVIDIA AI ecosystem celebration today at Vision Hall in London, where he welcomed
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The U.K. is driving investments in sovereign AI, using the technology to advance industries like manufacturing, life sciences and more. During NVIDIA founder and CEO Jensen Huang’s visit to the U.K. this week, NVIDIA highlighted how it is working with a broad ecosystem of AI makers across the nation on applications in physical and agentic
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The Jülich Supercomputing Centre’s JUPITER — Europe’s first exascale supercomputer — is officially live.
AI reasoning, inference and networking will be top of mind for attendees of next week’s Hot Chips conference. A key forum for processor and system architects from industry and academia, Hot Chips — running Aug. 24-26 at Stanford University — showcases the latest innovations poised to advance AI factories and drive revenue for the trillion-dollar
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The University of Bristol’s Isambard-AI, powered by NVIDIA Grace Hopper Superchips, delivers 21 exaflops of AI performance, making it the fastest system in the U.K. and among the most energy-efficient globally.
AI’s in fashion in France — as it is across the globe — with the technology already helping solve some of the country’s greatest challenges across research and innovation, transportation, manufacturing and many other industries. And this fashion’s here to stay. France’s National Strategy for AI, part of the broader France 2030 investment plan, includes
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Germany’s Leibniz Supercomputing Centre, LRZ, is gaining a new supercomputer that delivers roughly 30x more computing power compared with SuperMUC-NG, the current LRZ high-performance computer. It’s called Blue Lion. And it will run on the NVIDIA Vera Rubin architecture. That’s new. Until now, LRZ — part of the Gauss Centre for Supercomputing, Germany’s leading HPC
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Researchers across Taiwan are tackling complex challenges in AI development, climate science and quantum computing. Their work will soon be boosted by a new supercomputer at Taiwan’s National Center for High-Performance Computing that’s set to deliver over 8x more AI performance than the center’s earlier Taiwania 2 system. The AI supercomputer at NCHC is slated
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The world’s leading storage and server manufacturers are combining their design and engineering expertise with the NVIDIA AI Data Platform — a customizable reference design for building a new class of AI infrastructure — to provide systems that enable a new generation of agentic AI applications and tools. The reference design is now being harnessed
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Leading solution providers are delivering real-time physical digital twins with OpenUSD, RTX, and NVIDIA Blackwell.
AI deployments thrive on speed, data and scale. That’s why NVIDIA is expanding NVIDIA-Certified Systems to include enterprise storage certification — for streamlined AI factory deployments in the enterprise with accelerated computing, networking, software and storage. As enterprises build AI factories, access to high-quality data is imperative to ensure optimal performance and reliability for AI
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NVIDIA’s AI Podcast gives listeners the inside scoop on the ways AI is transforming nearly every industry. Since the show’s debut in 2016, it’s garnered more than 6 million listens across 200-plus episodes, covering how generative AI is used to power applications including assistive technology for the visually impaired, wildfire alert systems and the Roblox
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Whether they’re looking at nanoscale electron behaviors or starry galaxies colliding millions of light years away, many scientists share a common challenge — they must comb through petabytes of data to extract insights that can advance their fields. With the NVIDIA cuPyNumeric accelerated computing library, researchers can now take their data-crunching Python code and effortlessly
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