The NVIDIA Blackwell platform has been widely adopted by leading inference providers such as Baseten, DeepInfra, Fireworks AI and Together AI to reduce cost per token by up to 10x. Now, the NVIDIA Blackwell Ultra platform is taking this momentum further for agentic AI. AI agents and coding assistants are driving explosive growth in software-programming-related
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AI is powering breakthroughs across industries, helping enterprises operate with greater intelligence and speed. As AI factories scale, the next generation of enterprise AI depends on infrastructure that can efficiently manage data, secure every stage of the pipeline and accelerate the core services that move, protect and process information alongside AI workloads. NVIDIA has expanded
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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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At AWS re:Invent, NVIDIA and Amazon Web Services expanded their strategic collaboration with new technology integrations across interconnect technology, cloud infrastructure, open models and physical AI. As part of this expansion, AWS will support NVIDIA NVLink Fusion — a platform for custom AI infrastructure — for deploying its custom-designed silicon, including next-generation Trainium4 chips for
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Timed with the Microsoft Ignite conference running this week, NVIDIA is expanding its collaboration with Microsoft, including through the adoption of next-generation NVIDIA Spectrum-X Ethernet switches for the new Microsoft Fairwater AI superfactory, powered by the NVIDIA Blackwell platform. The collaboration brings new integrations across Microsoft 365 Copilot, as well as the public preview of
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AI agents have the potential to become indispensable tools for automating complex tasks. But bringing agents to production remains challenging. According to Gartner, “about 40% of AI prototypes make it into production, and participants reported data availability and quality as a top barrier to AI adoption.1” Just like human workers, AI agents need secure, relevant,
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Where CPUs once ruled, power efficiency — and then AI — flipped the balance. Extreme co-design across GPUs, networking and software now drives the frontier of science.
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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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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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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AI reasoning, inference and networking will be top of mind for attendees of next week’s Hot Chips conference. A key forum for processor and system architects from industry and academia, Hot Chips — running Aug. 24-26 at Stanford University — showcases the latest innovations poised to advance AI factories and drive revenue for the trillion-dollar
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Using NVIDIA platforms, tools and libraries, European telecommunications institutions are accelerating efforts to develop 6G — the next generation of cellular technology, with AI woven in from the start. 6G will be an AI-native platform that fosters innovation, enables new services, enhances customer experiences and promotes sustainability. Since the launch of the NVIDIA 6G Developer
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AI supercomputing is accelerating the development of new quantum applications, driving breakthroughs in critical industries such as aerospace, automotive and manufacturing. Underscoring that opportunity, Ansys announced today it is using the NVIDIA CUDA-Q quantum computing platform running on the Gefion supercomputer to advance quantum algorithms for fluid dynamics applications. Gefion is Denmark’s first AI supercomputer,
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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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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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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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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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NVIDIA today received multiple accolades at COMPUTEX’s Best Choice Awards, in recognition of innovation across the company. The NVIDIA GeForce RTX 5090 GPU won the Gaming and Entertainment category award; the NVIDIA Quantum-X Photonics InfiniBand switch system won the Networking and Communication category award; NVIDIA DGX Spark won the Computer and System category award; and
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As enterprises increasingly adopt AI, securing AI factories — where complex, agentic workflows are executed — has never been more critical. NVIDIA is bringing runtime cybersecurity to every AI factory with a new NVIDIA DOCA software framework, part of the NVIDIA cybersecurity AI platform. Running on the NVIDIA BlueField networking platform, NVIDIA DOCA Argus operates
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