Deep Green today announced AI-ready colocation capacity deployable in as little as four weeks at its Urmston facility in Manchester. This is one of the fastest AI infrastructure deployments currently available in the UK today. The site provides sovereign, UK-based capacity designed for high-density AI and HPC workloads.

For many organisations, the barrier to scaling artificial intelligence is no longer GPUs or software. It is infrastructure. Power availability, planning delays and legacy data centre designs mean new capacity can take years to deliver. Deep Green’s modular architecture allows AI workloads to be deployed in weeks, rather than years, giving organisations immediate access to secure, UK-hosted compute capacity.

The Urmston facility is purpose-built for modern AI workloads. It supports rack densities of up to 150kW, designed for GPU clusters and high-performance computing. The infrastructure operates at a sub 1.2 Power Usage Effectiveness (PUE), making it substantially more efficient than many conventional data centres. This combination of high-density capability and efficient operation allows organisations to run demanding AI workloads with predictable performance and lower operating costs.

Mark Lee, CEO of Deep Green, said:

“The conversations we’re having with customers are remarkably consistent. They don’t have a software problem or even a GPU problem. They have an infrastructure problem. Organisations need somewhere to run AI workloads today, not in two or three years’ time. Our Manchester site allows organisations to deploy high-density AI racks in weeks, and while capacity is filling rapidly, we still have space available for those looking for sovereign UK compute available now.”

Unlike conventional facilities, Deep Green’s infrastructure captures waste heat generated by AI compute and repurposes it locally. The heat can be used by nearby buildings and community facilities. By integrating heat reuse directly into the design of its sites, DeepGreen reduces the environmental impact of high-performance computing while delivering local energy benefits.