Zenith
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Zenith: the Launch

The launch of Zenith, alongside Sunrise and the new Sovereign AI Innovation Lab, marks a major step forward for AI for science at Cambridge and across the UK.

“Zenith, alongside Sunrise and SAIL, transforms what the University of Cambridge can achieve… equipping Cambridge to tackle some of the most complex challenges of our time, from cancer, to climate, to clean energy, and turn discovery into real world impact.”
— Vice-Chancellor, Professor Deborah Prentice

Wednesday's launch of the Zenith AI supercomputer at the University of Cambridge, alongside the announcement of the Sovereign AI Innovation Lab — SAIL — is a major milestone for Cambridge, for UK AI for science, and for everyone who has worked so hard to bring this vision into being.

For the Research Computing Services (RCS) team, this moment represents 18 months of intense work: technical delivery, strategic coordination, partnership-building, problem-solving, communications, and sheer persistence. 

Systems like Zenith do not simply arrive. They are made possible by people — by the expertise, care and sustained effort of teams working across research computing, infrastructure, engineering, project delivery, operations, policy, partnerships and communications.

Our launch event brought together leaders from across academia, industry and government. AMD CEO Lisa Su reflected on the strength of Cambridge’s research and innovation environment, noting: “We are here because there is tremendous talent in the ecosystem.”

That talent has been visible at every stage of Zenith’s development.

Funded by the Department for Science, Innovation and Technology and UK Research and Innovation and Innovation, and built with AMD and Dell Technologies, Zenith is now the UK’s largest AI-for-science platform — uniquely bringing together simulation and AI to accelerate research across health, energy and the environment.

Together with Sunrise, developed with the UK Atomic Energy Authority to advance fusion energy, this begins to define a broader national capability: from compute, to application, to deployment.

The potential is already clear:

• In healthcare, Zenith will enable AI-driven tools to improve cancer diagnosis and treatment
• Researchers are beginning to build NHS-scale cancer AI models, with the potential to improve outcomes and drive new therapeutics
• In environmental science, systems like IceNet are improving Arctic sea ice forecasting, strengthening our understanding of climate systems
• And with Sunrise, AI-powered simulation is accelerating progress toward commercially viable fusion energy

A proud day — and just the beginning.