Category: Misc

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…

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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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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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Data centers are being re-architected for efficient delivery of AI workloads. This is a hugely complicated endeavor, and NVIDIA is now delivering AI factories…

Data centers are being re-architected for efficient delivery of AI workloads. This is a hugely complicated endeavor, and NVIDIA is now delivering AI factories based on the NVIDIA rack-scale architecture. To deliver the best performance for the AI factory, many accelerators need to work together at rack-scale with maximal bandwidth and minimal latency to support the largest number of users in the…

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Wireless networks are the backbone of modern connectivity, serving billions of 5G users through millions of cell sites globally. The opportunities and benefits…

Wireless networks are the backbone of modern connectivity, serving billions of 5G users through millions of cell sites globally. The opportunities and benefits of AI-RAN are driving the transformation of telecom networks and ecosystems toward AI-native wireless networks. The mission is to create an intelligent network fabric that connects hundreds of billions of AI-powered endpoints such as…

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MediaTek, Marvell, Alchip Technologies, Astera Labs, Synopsys and Cadence to Create Custom AI Silicon With NVIDIA NVLink EcosystemFujitsu and Qualcomm Each Plan to Build Custom CPUs Coupled …

NVIDIA and Foxconn Hon Hai Technology Group today announced they are deepening their longstanding partnership and are working with the Taiwan government to build an AI factory supercomputer that will deliver state-of-the-art NVIDIA Blackwell infrastructure to researchers, startups and industries.

This edition of NVIDIA Robotics Research and Development Digest (R2D2) explores several contact-rich manipulation workflows for robotic assembly tasks from…

This edition of NVIDIA Robotics Research and Development Digest (R2D2) explores several contact-rich manipulation workflows for robotic assembly tasks from NVIDIA Research and how they can address key challenges with fixed automation, such as robustness, adaptability, and scalability. Contact-rich manipulation refers to robotic tasks that involve continuous or repeated physical contact…

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The exponential growth of generative AI, large language models (LLMs), and high-performance computing has created unprecedented demands on data center…

The exponential growth of generative AI, large language models (LLMs), and high-performance computing has created unprecedented demands on data center infrastructure. Traditional server architectures struggle to accommodate the power density, thermal requirements, and rapid iteration cycles of modern accelerated computing. This post explains the benefits of NVIDIA MGX…

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Imagine analyzing millions of NYC ride-share journeys—tracking patterns across boroughs, comparing service pricing, or identifying profitable pickup…

Imagine analyzing millions of NYC ride-share journeys—tracking patterns across boroughs, comparing service pricing, or identifying profitable pickup locations. The publicly available New York City Taxi and Limousine Commission (TLC) Trip Record Data contains valuable information that could reveal game-changing insights, but traditional processing approaches leave analysts waiting hours for results…

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