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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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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To power future technologies including liquid-cooled data centers, high-resolution digital displays and long-lasting batteries, scientists are searching for novel chemicals and materials optimized for factors like energy use, durability and efficacy. New NVIDIA-accelerated data processing pipelines and AI microservices unveiled at the SC25 conference in St. Louis are advancing chemistry and material science to support
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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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Today’s AI workloads are data-intensive, requiring more scalable and affordable storage than ever. By 2028, enterprises are projected to generate nearly 400 zettabytes of data annually, with 90% of new data being unstructured, comprising audio, video, PDFs, images and more. This massive scale, combined with the need for data portability between on-premises infrastructure and the
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In the age of AI reasoning, training smarter, more capable models is critical to scaling intelligence. Delivering the massive performance to meet this new age requires breakthroughs across GPUs, CPUs, NICs, scale-up and scale-out networking, system architectures, and mountains of software and algorithms. In MLPerf Training v5.1 — the latest round in a long-running series
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Editor’s note: This post is part of Think SMART, a series focused on how leading AI service providers, developers and enterprises can boost their inference performance and return on investment with the latest advancements from NVIDIA’s full-stack inference platform. NVIDIA Blackwell delivers the highest performance and efficiency, and lowest total cost of ownership across every
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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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Leading technology companies in aerospace and automotive are accelerating their engineering design processes with the NVIDIA DoMINO NIM microservice, part of the NVIDIA PhysicsNeMo AI physics framework. By integrating GPU-accelerated computing, NVIDIA PhysicsNeMo and interactive digital twin technologies, enterprises are accelerating their modeling and simulation workflows by up to 500x over traditional methods, speeding innovation
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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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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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NVIDIA is delivering the telecom industry a major boost in open-source software for building AI-native 5G and 6G networks. NVIDIA Aerial software will soon be released as open source, making it available on a variety of NVIDIA platforms, including on NVIDIA DGX Spark. With open-source software and a powerful and accessible supercomputer to run it
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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.
Governments everywhere are racing to harness the power of AI — but legacy infrastructure isn’t built for the velocity, complexity or trust that mission-critical action now demands. Massive data streams, cyber threats and urgent operations require a new blueprint for creating AI factories purpose-built for the public sector’s unique standards and scale. At NVIDIA GTC
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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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AI factories continue to grow at unprecedented scale, processing structured, unstructured and emerging AI-native data. With demand for trillion-token workloads exploding, a new class of infrastructure is required to keep pace. At NVIDIA GTC Washington, D.C, NVIDIA revealed the NVIDIA BlueField-4 data processing unit, part of the full-stack BlueField platform that accelerates gigascale AI infrastructure,
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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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Last week, over 1,000 attendees joined NVIDIA AI Day Sydney to learn about sovereign AI — including 16 breakout sessions on agentic and physical AI, robotics and AI factories.