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NVIDIA donates $250 million in compute for U.K. AI safety

52nd article in the last 90 days, one of 611 articles referencing Nvidia. Previous coverage: Eclipse Qrisp wins Quantum Effects Award 2026 (Oct 2026).

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NVIDIA has committed $250 million in compute access over five years to support agentic safety and security research in the United Kingdom. The donation is designed to strengthen the country's research capability in this area.

The contribution provides $50 million in compute access each year. Most of it goes to the wider U.K. AI safety and security research community, while a portion supports work at the British Open-Ended Learning and Discovery Lab, the Science of Fundamental AI Research Lab and Imperial College London.

Access will run through U.K.-based NVIDIA Cloud Partners, with infrastructure hosted in the country, and provider selection, technical architecture and commercial terms are still to be agreed. The research programs will focus on secure agents, open-model security and real-world threat mitigation, including secure sandboxes, reproducible research and safety assessment benchmarks. Some of this work uses NVIDIA OpenShell open, secure runtime software and the NVIDIA Sentry reference design.

The program links complementary research areas in the U.K. BOLD, led by the University of Oxford, develops approaches that help AI systems learn, adapt and operate alongside people. SOFAIR, led by UCL, explores open source AI architectures and more accessible ways to develop and deploy AI. Imperial's work includes safety engineering and robotics.

“AI capability and safety must advance together,” said Jensen Huang, founder and CEO of NVIDIA. “The U.K. brings world-class scientific rigor to this essential engineering challenge.”

“We are experiencing a critical moment where AI safety as an afterthought is no longer appropriate for the open-ended, evolving world,” said Jakob Foerster, founding director of BOLD. The commitment builds on NVIDIA's collaboration with the U.K. research community, including work on the Isambard-AI supercomputer at the University of Bristol, which is powered by NVIDIA Grace Hopper Superchips. Findings are intended to inform safeguards across the wider computing ecosystem.

Press release, provided by Globe Newswire on behalf of Nvidia. Read the original.

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