Lilly this week launched the most powerful AI factory wholly owned and operated by a pharmaceutical company to help its teams make meaningful medical advancements faster, more accurately and at unprecedented scale. Dubbed LillyPod, it’s the world’s first NVIDIA DGX SuperPOD with DGX B300 systems.
As technologies and systems become more digitalized and connected across the world, operational technology (OT) environments and industrial control systems (ICS) — from energy and manufacturing to transportation and utilities — are increasingly depending on enterprise networks and the cloud. This expands OT and ICS capabilities — but also their exposure to cyber threats. Unlike
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From AI infrastructure leaders to frontier model developers, India is teaming with NVIDIA to drive AI transformation across the nation.
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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A diagnostic insight in healthcare. A character’s dialogue in an interactive game. An autonomous resolution from a customer service agent. Each of these AI-powered interactions is built on the same unit of intelligence: a token. Scaling these AI interactions requires businesses to consider whether they can afford more tokens. The answer lies in better tokenomics
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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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NVIDIA DGX SuperPOD is paving the way for large-scale system deployments built on the NVIDIA Rubin platform — the next leap forward in AI computing. At the CES trade show in Las Vegas, NVIDIA today introduced the Rubin platform, comprising six new chips designed to deliver one incredible AI supercomputer, and engineered to accelerate agentic
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Open-source AI is accelerating innovation across industries, and NVIDIA DGX Spark and DGX Station are built to help developers turn innovation into impact. NVIDIA today unveiled at the CES trade show how the DGX Spark and DGX Station deskside AI supercomputers let developers harness the latest open and frontier AI models on a local deskside
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The NVIDIA RTX PRO 5000 72GB Blackwell GPU is now generally available, bringing robust agentic and generative AI capabilities powered by the NVIDIA Blackwell architecture to more desktops and professionals across the world.
The Hao AI Lab research team at the University of California San Diego — at the forefront of pioneering AI model innovation — recently received an NVIDIA DGX B200 system to elevate their critical work in large language model inference. Many LLM inference platforms in production today, such as NVIDIA Dynamo, use research concepts that
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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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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 top 10 most intelligent open-source models all use a mixture-of-experts architecture. Kimi K2 Thinking, DeepSeek-R1, Mistral Large 3 and others run 10x faster on NVIDIA GB200 NVL72. A look under the hood of virtually any frontier model today will reveal a mixture-of-experts (MoE) model architecture that mimics the efficiency of the human brain. Just
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Today, Mistral AI announced the Mistral 3 family of open-source multilingual, multimodal models, optimized across NVIDIA supercomputing and edge platforms. Mistral Large 3 is a mixture-of-experts (MoE) model — instead of firing up every neuron for every token, it only activates the parts of the model with the most impact. The result is efficiency
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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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Built on open-source models, today’s AI agents can be tailored for unique workflows and business needs to boost productivity and return on investment.
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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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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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.