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.
Quantum technologies are rapidly emerging as foundational capabilities for economic competitiveness, national security and scientific leadership in the 21st century. Sustained U.S. leadership in quantum information science is critical to ensuring that breakthroughs in computing, sensing, networking and materials translate into secure technologies and industries, a skilled domestic workforce and long-term strategic advantage. To secure
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AI is becoming the foundation of the “largest infrastructure buildout in human history,” spanning energy and computing infrastructure, AI models and applications, NVIDIA founder and CEO Jensen Huang said during a World Economic Forum discussion with BlackRock CEO Larry Fink.
NVIDIA and Lilly are putting together “a blueprint for what is possible in the future of drug discovery,” NVIDIA founder and CEO Jensen Huang told attendees at a fireside chat Monday with Dave Ricks, chair and CEO of Lilly. The conversation — which took place during the annual J.P. Morgan Healthcare Conference in San Francisco
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NVIDIA founder and CEO Jensen Huang took the stage at the Fontainebleau Las Vegas to open CES 2026, declaring that AI is scaling into every domain and every device. “Computing has been fundamentally reshaped as a result of accelerated computing, as a result of artificial intelligence,” Huang said. “What that means is some $10 trillion
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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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NVIDIA today announced it has acquired SchedMD — the leading developer of Slurm, an open-source workload management system for high-performance computing (HPC) and AI — to help strengthen the open-source software ecosystem and drive AI innovation for researchers, developers and enterprises. NVIDIA will continue to develop and distribute Slurm as open-source, vendor-neutral software, making it
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In Las Vegas’s T-Mobile Arena, fans of the Golden Knights are getting more than just hockey — they’re getting a taste of the future. ADAM, a robot developed with NVIDIA Isaac libraries, is pouring drinks and turning heads in one of the NHL’s most exciting venues. ADAM, short for Automated Dual Arm Mixologist, was developed
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Unveiling what it describes as the most capable model series yet for professional knowledge work, OpenAI launched GPT-5.2 today. The model was trained and deployed on NVIDIA infrastructure, including NVIDIA Hopper and GB200 NVL72 systems. It’s the latest example of how leading AI builders train and deploy at scale on NVIDIA’s full-stack AI infrastructure. Pretraining:
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As the scale and complexity of AI infrastructure grows, data center operators need continuous visibility into factors including performance, temperature and power usage. These insights enable data center operators to actively monitor and adjust data center configurations across large-scale, distributed systems — validating that these systems are operating at their highest efficiency and reliability. NVIDIA
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The NVIDIA accelerated computing platform is leading supercomputing benchmarks once dominated by CPUs, enabling AI, science, business and computing efficiency worldwide. Moore’s Law has run its course, and parallel processing is the way forward. With this evolution, NVIDIA GPU platforms are now uniquely positioned to deliver on the three scaling laws — pretraining, post-training and
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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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Today, Microsoft, NVIDIA and Anthropic announced new strategic partnerships. Anthropic is scaling its rapidly growing Claude AI model on Microsoft Azure, powered by NVIDIA, which will broaden access to Claude and provide Azure enterprise customers with expanded model choice and new capabilities. Anthropic has committed to purchase $30 billion of Azure compute capacity and to
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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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NVIDIA founder and CEO Jensen Huang and chief scientist Bill Dally were honored this week in the U.K. for their foundational work in AI and machine learning. They were among the seven recipients of the 2025 Queen Elizabeth Prize for Engineering, recognized for their contributions to modern machine learning. Presented by His Majesty King Charles
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In Berlin on Tuesday, Deutsche Telekom and NVIDIA unveiled the world’s first Industrial AI Cloud, a sovereign, enterprise-grade platform set to go live in early 2026. The partnership brings together Deutsche Telekom’s trusted infrastructure and operations and NVIDIA AI and Omniverse digital twin platforms to power the AI era of Germany’s industrial transformation. “We have
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Amidst Gyeongju, South Korea’s ancient temples and modern skylines, Jensen Huang hit the stage at the APEC Summit with historic news: South Korea is leaping into the future with sovereign AI supported by more than a quarter-million NVIDIA GPUs. “It’s vital that we build the ecosystem, not just the AI infrastructure, of Korea,” he said.
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To democratize access to AI technology nationwide, AI education and deployment can’t be limited to a few urban tech hubs — it must reach every community, university and state. That’s why NVIDIA is working with cities, states and educational institutions to embed AI education and innovation across the U.S., with the goal of helping the
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Monday, Oct. 27, 12:30 p.m. ET How Medium-Sized Cities Are Tackling AI Readiness 🔗 A panel discussion today at GTC Washington, D.C., highlighted a public-private initiative to invigorate the economy of Rancho Cordova, California, with a focus on AI. To bolster innovation, the city is working with the Human Machine Collaboration Institute and NVIDIA on
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AI has ignited a new industrial revolution. NVIDIA and TSMC are working together to build the infrastructure that powers the world’s AI factories, right here in America. NVIDIA founder and CEO Jensen Huang today visited TSMC’s semiconductor manufacturing facility in Phoenix to celebrate the first NVIDIA Blackwell wafer produced on U.S. soil, representing that Blackwell
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