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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AI factories are producing intelligence at unprecedented scale, showing massive potential to fuel economic growth and innovation. But to tap that intelligence, countries need secure, sovereign AI infrastructure. As trusted providers of critical connectivity infrastructure, forming the backbone of the modern digital world, telecommunications providers are uniquely positioned to deliver AI services due to their
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Cisco and NVIDIA are helping set a new standard for secure, scalable and high-performance enterprise AI. Announced today at the Cisco Live conference in San Diego, the Cisco AI Defense and Hypershield security solutions tap into NVIDIA AI to deliver comprehensive visibility, validation and runtime protection across entire AI workflows. This builds on the Cisco
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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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AI isn’t waiting. And this week, neither is Europe. At London’s Olympia, under a ceiling of steel beams and enveloped by the thrum of startup pitches, it didn’t feel like the start of a conference — it felt like the start of something bigger. NVIDIA founder and CEO Jensen Huang joined U.K. Prime Minister Sir
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U.K. Prime Minister Keir Starmer’s ambition for Britain to be an “AI maker, not an AI taker,” is becoming a reality at London Tech Week. With NVIDIA’s support, the U.K. is building sovereign compute infrastructure, investing in cutting-edge research and skills, and fostering AI leadership across sectors. As London Tech Week kicks off today, NVIDIA
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NVIDIA is working with companies worldwide to build out AI factories — speeding the training and deployment of next-generation AI applications that use the latest advancements in training and inference. The NVIDIA Blackwell architecture is built to meet the heightened performance requirements of these new applications. In the latest round of MLPerf Training — the
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Financial losses from worldwide credit card transaction fraud are projected to reach more than $403 billion over the next decade.
How NVIDIA’s AI factory platform balances maximum performance and minimum latency, optimizing AI inference to power the next industrial revolution.
NVIDIA and Google share a long-standing relationship rooted in advancing AI innovation and empowering the global developer community. This partnership goes beyond infrastructure, encompassing deep engineering collaboration to optimize the computing stack. The latest innovations stemming from this partnership include significant contributions to community software efforts like JAX, OpenXLA, MaxText and llm-d. These foundational optimizations
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Over a century ago, Henry Ford pioneered the mass production of cars and engines to provide transportation at an affordable price. Today, the technology industry manufactures the engines for a new kind of factory — those that produce intelligence. As companies and countries increasingly focus on AI, and move from experimentation to implementation, the demand
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Agentic AI is redefining scientific discovery and unlocking research breakthroughs and innovations across industries. Through deepened collaboration, NVIDIA and Microsoft are delivering advancements that accelerate agentic AI-powered applications from the cloud to the PC. At Microsoft Build, Microsoft unveiled Microsoft Discovery, an extensible platform built to empower researchers to transform the entire discovery process with
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Quantum computing promises to shorten the path to solving some of the world’s biggest computational challenges, from scaling in-silico drug design to optimizing otherwise impossibly complex, large-scale logistics problems. Integrating quantum hardware into state-of-the-art AI supercomputers — forming accelerated quantum supercomputers — helps speed the scaling of today’s quantum processors into helpful devices for solving
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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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NVIDIA is highlighting significant momentum for its new Grace CPU C1 this week at the COMPUTEX trade show in Taipei, with a strong showing of support from key original design manufacturer partners. The expanding NVIDIA Grace CPU lineup, including the powerful NVIDIA Grace Hopper Superchip and the flagship Grace Blackwell platform, is delivering significant efficiency
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TSMC, Cadence, KLA, Siemens and Synopsys are advancing semiconductor manufacturing by adopting the NVIDIA CUDA-X and NVIDIA Blackwell platforms. NVIDIA Blackwell GPUs, NVIDIA Grace CPUs, high-speed NVIDIA NVLink fabrics and switches, and domain-specific NVIDIA CUDA-X libraries like NVIDIA cuDSS and NVIDIA cuLitho are improving computational lithography and device simulation for advanced chip manufacturing. “Our collaboration
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Empowering engineering teams with more tools for building AI factories, NVIDIA today announced a significant expansion of the NVIDIA Omniverse Blueprint for AI factory digital twins, now available as a preview. The blueprint features new integrations across the AI factory power, cooling and networking ecosystems with industry leaders Delta Electronics, Jacobs and Siemens, joining existing
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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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AI is creating value for everyone — from researchers in drug discovery to quantitative analysts navigating financial market changes. The faster an AI system can produce tokens, a unit of data used to string together outputs, the greater its impact. That’s why AI factories are key, providing the most efficient path from “time to first
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