The telecom industry is increasingly embracing AI to deliver seamless connections — even in conditions of poor signal strength — while maximizing sustainability and spectral efficiency, the amount of information that can be transmitted per unit of bandwidth. Advancements in AI-RAN technology have set the course toward AI-native wireless networks for 6G, built using AI
AI agents are transforming work, delivering time and cost savings by helping people resolve complex challenges in new ways. Whether developed for humanitarian aid, customer service or healthcare, AI agents built with the NVIDIA AI Enterprise software platform make up a new digital workforce helping professionals accomplish their goals faster — at lower costs and
AI deployments thrive on speed, data and scale. That’s why NVIDIA is expanding NVIDIA-Certified Systems to include enterprise storage certification — for streamlined AI factory deployments in the enterprise with accelerated computing, networking, software and storage. As enterprises build AI factories, access to high-quality data is imperative to ensure optimal performance and reliability for AI
As quantum computers continue to develop, they will integrate with AI supercomputers to form accelerated quantum supercomputers capable of solving some of the world’s hardest problems. Integrating quantum processing units (QPUs) into AI supercomputers is key for developing new applications, helping unlock breakthroughs critical to running future quantum hardware and enabling developments in quantum error
AI is fueling a new industrial revolution — one driven by AI factories. Unlike traditional data centers, AI factories do more than store and process data — they manufacture intelligence at scale, transforming raw data into real-time insights. For enterprises and countries around the world, this means dramatically faster time to value — turning AI
As generative AI capabilities expand, NVIDIA is equipping developers with the tools to seamlessly integrate AI into creative projects, applications and games to unlock groundbreaking experiences on NVIDIA RTX AI PCs and workstations. At the NVIDIA GTC global AI conference this week, NVIDIA introduced the NVIDIA RTX PRO Blackwell series, a new generation of workstation
Every second, businesses worldwide are making critical decisions. A logistics company decides which trucks to send where. A retailer figures out how to stock its shelves. An airline scrambles to reroute flights after a storm. These aren’t just routing choices — they’re high-stakes puzzles with millions of variables, and getting them wrong costs money and,
Scientists and engineers of all kinds are equipped to solve tough problems a lot faster with NVIDIA CUDA-X libraries powered by NVIDIA GB200 and GH200 superchips. Announced today at the NVIDIA GTC global AI conference, developers can now take advantage of tighter automatic integration and coordination between CPU and GPU resources — enabled by CUDA-X
Physical AI is unlocking new possibilities at the intersection of autonomy and robotics — accelerating, in particular, the development of autonomous vehicles (AVs). The right technology and frameworks are crucial to ensuring the safety of drivers, passengers and pedestrians. That’s why NVIDIA today announced NVIDIA Halos — a comprehensive safety system bringing together NVIDIA’s lineup
AI is now mainstream and driving unprecedented demand for AI factories — purpose-built infrastructure dedicated to AI training and inference — and the production of intelligence. Many of these AI factories will be gigawatt-scale. Bringing up a single gigawatt AI factory is an extraordinary act of engineering and logistics — requiring tens of thousands of