Speed Demon: NVIDIA Blackwell Takes Pole Position in Latest MLPerf Inference Results

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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Animals Crossing: AI Helps Protect Wildlife Across the Globe

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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Amphitrite Rides AI Wave to Boost Maritime Shipping, Ocean Cleanup With Real-Time Weather Prediction and Simulation

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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Fast, Low-Cost Inference Offers Key to Profitable AI

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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Breaking down CPU speed: How utilization impacts performance

The Performance Engineering team at GitHub assessed how CPU performance degrades as utilization increases and how this relates to capacity.

The post Breaking down CPU speed: How utilization impacts performance appeared first on The GitHub Blog.

The Need for Speed: NVIDIA Accelerates Majority of World’s Supercomputers to Drive Advancements in Science and Technology

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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Hopper Scales New Heights, Accelerating AI and HPC Applications for Mainstream Enterprise Servers

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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Peak Training: Blackwell Delivers Next-Level MLPerf Training Performance

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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NVIDIA and Global Consulting Leaders Speed AI Adoption Across Japan’s Industries

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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Open for AI: India Tech Leaders Build AI Factories for Economic Transformation

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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