NVIDIA today announced the opening of the Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT), which hosts ABCI-Q — the world’s largest research supercomputer dedicated to quantum computing.
The age of video analytics AI agents is here. Video is one of the defining features of the modern digital landscape, accounting for over 50% of all global data traffic. Dominant in media and increasingly important for enterprises across industries, it is one of the largest and most ubiquitous data sources in the world. Yet
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TSMC, Cadence, KLA, Siemens and Synopsys are advancing semiconductor manufacturing by adopting the NVIDIA CUDA-X and NVIDIA Blackwell platforms. NVIDIA Blackwell GPUs, NVIDIA Grace CPUs, high-speed NVIDIA NVLink fabrics and switches, and domain-specific NVIDIA CUDA-X libraries like NVIDIA cuDSS and NVIDIA cuLitho are improving computational lithography and device simulation for advanced chip manufacturing. “Our collaboration
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NVIDIA is highlighting significant momentum for its new Grace CPU C1 this week at the COMPUTEX trade show in Taipei, with a strong showing of support from key original design manufacturer partners. The expanding NVIDIA Grace CPU lineup, including the powerful NVIDIA Grace Hopper Superchip and the flagship Grace Blackwell platform, is delivering significant efficiency
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Researchers across Taiwan are tackling complex challenges in AI development, climate science and quantum computing. Their work will soon be boosted by a new supercomputer at Taiwan’s National Center for High-Performance Computing that’s set to deliver over 8x more AI performance than the center’s earlier Taiwania 2 system. The AI supercomputer at NCHC is slated
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Leading healthcare organizations across the globe are using agentic AI, robotics and digital twins of medical environments to enhance surgical precision, boost workflow efficiency, improve medical diagnoses and more. Physical AI and humanoid robots in hospitals have the potential to automate routine tasks, assist with patient care and address workforce shortages. This is especially crucial
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Quantum computing promises to shorten the path to solving some of the world’s biggest computational challenges, from scaling in-silico drug design to optimizing otherwise impossibly complex, large-scale logistics problems. Integrating quantum hardware into state-of-the-art AI supercomputers — forming accelerated quantum supercomputers — helps speed the scaling of today’s quantum processors into helpful devices for solving
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As AI workloads grow in complexity and scale—from large language models (LLMs) to agentic AI reasoning and physical AI—the demand for faster, more scalable…
As AI workloads grow in complexity and scale—from large language models (LLMs) to agentic AI reasoning and physical AI—the demand for faster, more scalable compute infrastructure has never been greater. Meeting these demands requires rethinking system architecture from the ground up. NVIDIA is advancing platform architecture with NVIDIA ConnectX-8 SuperNICs, the industry’s first SuperNIC to…
How can an AI system understand the difference between a plausible accident and a physically impossible event? Or plan a multi-step interaction across humans,…
How can an AI system understand the difference between a plausible accident and a physically impossible event? Or plan a multi-step interaction across humans, objects, and environments in an edge-case scenario? These are questions at the core of physical intelligence—the kind that underpin how robots manipulate the world, how autonomous vehicles make split-second decisions, and how virtual agents…
At COMPUTEX 2025, NVIDIA announced new updates to its robotics simulation reference application NVIDIA Isaac Sim, and robot learning framework, NVIDIA Isaac…
At COMPUTEX 2025, NVIDIA announced new updates to its robotics simulation reference application NVIDIA Isaac Sim, and robot learning framework, NVIDIA Isaac Lab, to accelerate the development of robots of all embodiments. Isaac Sim and Lab will be fully compatible to run on NVIDIA RTX PRO 6000 workstations and servers, offering a single architecture for every robot development workload…