What if breakthroughs in climate science, medicine and clean energy took years rather than decades?
The UK has world-class universities, a strong research base and vibrant ecosystems across science, health and industry that can be accelerated by AI. But realising that potential depends on something more fundamental: scaling AI so it works securely and reliably in the real world for the problems that matter most.
That is the challenge Dell Technologies is helping to solve, working with AMD and the University of Cambridge to design and build the high-performance infrastructure needed to scale AI from experiment to impact.
Sovereign AI innovation lab: A new kind of AI lab
Dell, AMD and Cambridge will create the Sovereign AI Innovation Lab (SAIL). Hosted by the University of Cambridge Research Computing Service, SAIL will tackle one of the biggest challenges in AI today, moving from pilots to systems that work at scale.
Its purpose is straightforward: to develop repeatable, proven ways of deploying AI that organisations across the UK can adopt with confidence.
SAIL will bring together domain experts and public-sector partners to design, build and validate AI systems in real-world environments, from secure public services and healthcare workflows to AI‑driven scientific discovery.
It will provide a practical foundation for policy and deployment, helping organisations navigate data access, governance and adoption in live settings, not theory.
The gap between AI ambition and AI that scales is where most organisations get stuck. SAIL is designed to close it.
Zenith: AI at the scale science needs
SAIL sits alongside the new Zenith AI supercomputer as part of the UK’s AI Research Resource and National Compute Resource. It is the UK’s largest AI-for-science platform specially designed to bring together both simulation and AI communities on a single machine for AI workloads that push the boundaries of what is currently possible.
Built on Dell PowerEdge servers with AMD MI355X GPUs, the result is a step change in what AI infrastructure can deliver. It will compress research timelines from decades to years and enable breakthroughs across areas such as climate modelling, healthcare and advanced engineering. Not as isolated experiments, but as repeatable, scalable capabilities.
This is where Dell’s engineering expertise is critical, designing systems that don’t just perform in theory but deliver reliably on a national scale.
Sunrise: AI for the hardest scientific questions
The impact of this kind of AI infrastructure becomes even clearer when applied to real-world problems.
Fusion energy, the process that powers the Sun, could potentially provide safe, sustainable, low-carbon energy. But developing it requires tackling one of the most complex scientific challenges ever attempted.
Sunrise, an AI supercomputer built by Dell and AMD with Cambridge and the UK Atomic Energy Authority (UKAEA), is dedicated to that mission. It supports plasma modelling, fusion digital twins, materials workflows and AI surrogate models that compress years of experimental iteration into tractable computational problems. It is the world’s most powerful AI supercomputer dedicated to fusion research and is based at the UK’s first AI Growth Zone.
From AI potential to AI at scale
Zenith provides the national-scale AI platform. Sunrise applies it to one of the world’s hardest scientific challenges. SAIL will be the environment where the next generation of AI solutions gets built, tested and made ready to deploy.
This is how AI moves from potential to scale and from isolated innovation to national capability, built on the kind of infrastructure Dell is helping to design and deliver.
Dell reported this
Source: www.dell.com
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