Best info I’ve found on the is on the Nvidia blog

• Cost £225M of government money
• 21 exaflops of AI performance
• 5,448 NVIDIA GH200 Grace Hopper Superchips

It’s a platform to accelerate breakthroughs in:

• AI-driven drug discovery
• Advanced climate modeling
• Materials science
• Large language models (LLMs) tuned to U.K. languages and laws

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 — reducing reliance on rare or toxic inputs.
• EgoAI (University of Bristol): Using AI to analyze recordings from wearable cameras and other smart devices to help people perform tasks better at home. This holds immense promise for assisting dementia patients in the future.