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Recent News

March 20, 2025

EPRI, NVIDIA and Collaborators Launch Open Power AI Consortium to Transform the Future of Energy

The power and utilities sector keeps the lights on for the world’s populations and industries. As the global energy landscape evolves, so must the tools it relies on. To advance the next generation of electricity generation and distribution, many of the industry’s members are joining forces through the creation of the Open Power AI Consortium. Read Article

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March 20, 2025

Innovation to Impact: How NVIDIA Research Fuels Transformative Work in AI, Graphics and Beyond

The roots of many of NVIDIA’s landmark innovations — the foundational technology that powers AI, accelerated computing, real-time ray tracing and seamlessly connected data centers — can be found in the company’s research organization, a global team of around 400 experts in fields including computer architecture, generative AI, graphics and robotics. Established in 2006 and Read Article

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March 18, 2025

AI Factories Are Redefining Data Centers and Enabling the Next Era of AI

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 Read Article

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March 18, 2025

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 Read Article

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March 18, 2025

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 Read Article

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March 18, 2025

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 Read Article

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March 18, 2025

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 Read Article

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March 18, 2025

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 Read Article

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March 18, 2025

Enterprises Ignite Big Savings With NVIDIA-Accelerated Apache Spark

Tens of thousands of companies worldwide rely on Apache Spark to crunch massive datasets to support critical operations, as well as predict trends, customer behavior, business performance and more. The faster a company can process and understand its data, the more it stands to make and save. That’s why companies with massive datasets — including Read Article

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