The U.K. has officially joined the premier league of global AI infrastructure with the launch of Isambard-AI at the Bristol Centre for Supercomputing (BriCS). Leaders unveiled the system at a ribbon-cutting ceremony, calling it the most powerful AI supercomputer ever built in the U.K.
U.K. Secretary of State Peter Kyle was joined by leaders from across academia, industry and government, including Simon McIntosh-Smith, director of the Bristol Centre for Supercomputing, and Neil MacDonald, executive vice president and general manager for Hewlett Packard Enterprise’s server business.
“And as we press this switch to activate the UK’s most powerful supercomputer, we are embarking on Britain’s super future where AI contributes towards the delivery of better public services, greater public prosperity, deeper scientific discovery and stronger national security,” Kyle said.
The system delivers 21 exaflops of AI performance and uses 5,448 NVIDIA GH200 Grace Hopper Superchips. It is set to rank 11th worldwide on the latest TOP500 list of world’s fastest supercomputers, and is more than 10x faster than the next-fastest supercomputer in the U.K. It also has more computing power than all other U.K. supercomputers combined.
Isambard-AI is ranked fourth globally for energy efficiency. It is powered by NVIDIA GH200 Superchips, uses a direct liquid-cooling architecture from HPE, and has a power usage effectiveness below 1.1. The system is entirely powered by zero-carbon electricity and has the potential to recycle waste heat.
Backed by £225 million in government investment and built with NVIDIA, HPE, the University of Bristol and others, the project is intended to support U.K. researchers and businesses in areas including AI-driven drug discovery, advanced climate modeling, materials science and large language models (LLMs) tuned to U.K. languages and laws.
The supercomputer is named after Isambard Kingdom Brunel, and went from conception to deployment in just under two years. The modular data center was constructed in 48 hours, and the full 5-megawatt system was live by June 2025.
Early flagship projects include:
- Nightingale AI: A sovereign, multimodal health foundation model trained on National Health Service (NHS) data to support earlier diagnoses and personalized care.
- BritLLM: A U.K.-developed LLM project supporting British languages like Welsh, alongside English, to promote inclusivity and better public service delivery in healthcare, education and public services.
- UCL Cancer Screening AI: Developing the first scalable AI system for prostate cancer detection via MRI, aiming for faster diagnoses and tailored treatments.
- EIMCRYSTAL (University of Liverpool): Using AI to search 68 million chemical combinations to discover greener, more sustainable industrial materials.
- EgoAI (University of Bristol): Using AI to analyze recordings from wearable cameras and other smart devices to help people perform tasks better at home.
Access will be managed by the U.K. Department for Science, Innovation, and Technology and U.K. Research and Innovation, with an emphasis on aligning usage with national priorities, enabling smaller institutions and startups, and supporting both research and commercial innovation.
Source: blogs.nvidia.com.
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