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NVIDIA Accelerated Quantum Research Center to Bring Quantum Computing Closer

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
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Full Steam Ahead: NVIDIA-Certified Program Expands to Enterprise Storage for Faster AI Factory Deployment

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
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NVIDIA to Build Accelerated Quantum Computing Research Center

NVIDIA today announced it is building a Boston-based research center to provide cutting-edge technologies to advance quantum computing.

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From AT&T to the United Nations, AI Agents Redefine Work With NVIDIA AI Enterprise

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
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NVIDIA Aerial Expands With New Tools for Building AI-Native Wireless Networks

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
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Telecom Leaders Call Up Agentic AI to Improve Network Operations

Global telecommunications networks can support millions of user connections per day, generating more than 3,800 terabytes of data per minute on average. That massive, continuous flow of data generated by base stations, routers, switches and data centers — including network traffic information, performance metrics, configuration and topology — is unstructured and complex. Not surprisingly, traditional
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AI on the Menu: Yum! Brands and NVIDIA Partner to Accelerate Restaurant Industry Innovation

The quick-service restaurant industry is a marvel of modern logistics, where speed, teamwork and kitchen operations are key ingredients for every order. Yum! Brands is now introducing AI-powered agents at select Pizza Hut and Taco Bell locations to assist and enhance the team member experience. Today at the NVIDIA GTC conference, Yum! Brands announced a
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Announcing Newton, an Open-Source Physics Engine for Robotics Simulation

Physical AI models enable robots to autonomously perceive, interpret, reason, and interact with the real world. Accelerated computing and simulations are key to…

Physical AI models enable robots to autonomously perceive, interpret, reason, and interact with the real world. Accelerated computing and simulations are key to developing the next generation of robotics. Physics plays a crucial role in robotic simulation, providing the foundation for accurate virtual representations of robot behavior and interactions within realistic environments.

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Scale Synthetic Data and Physical AI Reasoning with NVIDIA Cosmos World Foundation Models

A GIF showing robotics.The next generation of AI-driven robots like humanoids and autonomous vehicles depends on high-fidelity, physics-aware training data. Without diverse and…A GIF showing robotics.

The next generation of AI-driven robots like humanoids and autonomous vehicles depends on high-fidelity, physics-aware training data. Without diverse and representative datasets, these systems don’t get proper training and face testing risks due to poor generalization, limited exposure to real-world variations, and unpredictable behavior in edge cases. Collecting massive real-world datasets for…

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Accelerate Generalist Humanoid Robot Development with NVIDIA Isaac GR00T N1

Image of two robots in a factory lifting objects with both arms.Humanoid robots are designed to adapt to human workspaces, tackling repetitive or demanding tasks. However, creating general-purpose humanoid robots for…Image of two robots in a factory lifting objects with both arms.

Humanoid robots are designed to adapt to human workspaces, tackling repetitive or demanding tasks. However, creating general-purpose humanoid robots for real-world tasks and unpredictable environments is challenging. Each of these tasks often requires a dedicated AI model. Training these models from scratch for every new task and environment is a laborious process due to the need for vast task…

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