The world’s top-performing system for graph processing at scale was built on a commercially available cluster. NVIDIA last month announced a record-breaking benchmark result of 410 trillion traversed edges per second (TEPS), ranking No. 1 on the 31st Graph500 breadth-first search (BFS) list. Performed on an accelerated computing cluster hosted in a CoreWeave data center
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The NVIDIA Inception startup projects that space-based data centers will offer 10x lower energy costs and reduce the need for energy consumption on Earth.
Two new open-weight AI reasoning models from OpenAI released today bring cutting-edge AI development directly into the hands of developers, enthusiasts, enterprises, startups and governments everywhere — across every industry and at every scale. NVIDIA’s collaboration with OpenAI on these open models — gpt-oss-120b and gpt-oss-20b — is a testament to the power of community-driven
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In the latest MLPerf Inference V5.0 benchmarks, which reflect some of the most challenging inference scenarios, the NVIDIA Blackwell platform set records — and marked NVIDIA’s first MLPerf submission using the NVIDIA GB200 NVL72 system, a rack-scale solution designed for AI reasoning. Delivering on the promise of cutting-edge AI takes a new kind of compute
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From Seattle, Washington, to Cape Town, South Africa — and everywhere around and between — AI is helping conserve the wild plants and animals that make up the intricate web of life on Earth. It’s critical work that sustains ecosystems and supports biodiversity at a time when the United Nations estimates over 1 million species
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Named after Greek mythology’s goddess of the sea, France-based startup Amphitrite is fusing satellite data and AI to simulate and predict oceanic currents and weather. It’s work that’s making waves in maritime-shipping and oceanic litter-collection operations. Amphitrite’s AI models — powered by the NVIDIA AI and Earth-2 platforms — provide insights on positioning vessels to
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Businesses across every industry are rolling out AI services this year. For Microsoft, Oracle, Perplexity, Snap and hundreds of other leading companies, using the NVIDIA AI inference platform — a full stack comprising world-class silicon, systems and software — is the key to delivering high-throughput and low-latency inference and enabling great user experiences while lowering
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Starting with the release of CUDA in 2006, NVIDIA has driven advancements in AI and accelerated computing — and the most recent TOP500 list of the world’s most powerful supercomputers highlights the culmination of the company’s achievements in the field. This year, 384 systems on the TOP500 list are powered by NVIDIA technologies. Among the
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Since its introduction, the NVIDIA Hopper architecture has transformed the AI and high-performance computing (HPC) landscape, helping enterprises, researchers and developers tackle the world’s most complex challenges with higher performance and greater energy efficiency. During the Supercomputing 2024 conference, NVIDIA announced the availability of the NVIDIA H200 NVL PCIe GPU — the latest addition to
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Generative AI applications that use text, computer code, protein chains, summaries, video and even 3D graphics require data-center-scale accelerated computing to efficiently train the large language models (LLMs) that power them. In MLPerf Training 4.1 industry benchmarks, the NVIDIA Blackwell platform delivered impressive results on workloads across all tests — and up to 2.2x more
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Consulting giants including Accenture, Deloitte, EY Strategy and Consulting Co., Ltd. (or EY Japan), FPT, Kyndryl and Tata Consultancy Services Japan (TCS Japan) are working with NVIDIA to establish innovation centers in Japan to accelerate the nation’s goal of embracing enterprise AI and physical AI across its industrial landscape. The centers will use NVIDIA AI
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India’s leading cloud infrastructure providers and server manufacturers are ramping up accelerated data center capacity. By year’s end, they’ll have boosted NVIDIA GPU deployment in the country by nearly 10x compared to 18 months ago. Tens of thousands of NVIDIA Hopper GPUs will be added to build AI factories — large-scale data centers for producing
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As enterprises race to adopt generative AI and bring new services to market, the demands on data center infrastructure have never been greater. Training large language models is one challenge, but delivering LLM-powered real-time services is another. In the latest round of MLPerf industry benchmarks, Inference v4.1, NVIDIA platforms delivered leading performance across all data
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The full-stack NVIDIA accelerated computing platform has once again demonstrated exceptional performance in the latest MLPerf Training v4.0 benchmarks. NVIDIA more than tripled the performance on the large language model (LLM) benchmark, based on GPT-3 175B, compared to the record-setting NVIDIA submission made last year. Using an AI supercomputer featuring 11,616 NVIDIA H100 Tensor Core
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AI gives every company an opportunity to turn its processes into a data flywheel, NVIDIA founder and CEO Jensen Huang told thousands of attendees Monday at the Snowflake Data Cloud Summit. Companies need to “take all the most important processes they do, capture them in a data flywheel and turn that into the company’s AI
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Building on more than a dozen years of stacking wins at the COMPUTEX trade show’s annual Best Choice Awards, NVIDIA was today honored with BCAs for its latest technologies. The NVIDIA GH200 Grace Hopper Superchip won the Computer and System Category Award; the NVIDIA Spectrum-X AI Ethernet networking platform won the Networking and Communication Category
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Described as the largest system in the pharmaceutical industry, BioHive-2 at the Salt Lake City headquarters of Recursion debuts today at No. 35, up more than 100 spots from its predecessor on the latest TOP500 list of the world’s fastest supercomputers. The advance represents the company’s most recent effort to accelerate drug discovery with NVIDIA
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Generative AI is taking root at national and corporate labs, accelerating high-performance computing for business and science. Researchers at Sandia National Laboratories aim to automatically generate code in Kokkos, a parallel programming language designed for use across many of the world’s largest supercomputers. It’s an ambitious effort. The specialized language, developed by researchers from several
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NVIDIA today announced optimizations across all its platforms to accelerate Meta Llama 3, the latest generation of the large language model (LLM). The open model combined with NVIDIA accelerated computing equips developers, researchers and businesses to innovate responsibly across a wide variety of applications. Trained on NVIDIA AI Meta engineers trained Llama 3 on a
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It’s official: NVIDIA delivered the world’s fastest platform in industry-standard tests for inference on generative AI. In the latest MLPerf benchmarks, NVIDIA TensorRT-LLM — software that speeds and simplifies the complex job of inference on large language models — boosted the performance of NVIDIA Hopper architecture GPUs on the GPT-J LLM nearly 3x over their
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