Deep Green has announced AI-ready colocation capacity at its Urmston facility in Manchester, with deployments available in as little as four weeks.
The company says the site has been designed for high-density AI and HPC workloads, offering sovereign, UK-based capacity at a time when many organisations are struggling to find suitable infrastructure for AI projects.
Data centres across Europe are facing significant capacity constraints, which has sent the cost of space skyrocketing. While firms are rushing to build more capacity, getting those deployments online is taking time, and even when they do become available, much of the capacity is already pre-let.
That’s why it’s important to also explore other markets, which may have a bit more available capacity – such as Manchester. While it’s not quite a FLAP-D market, it still ranks highly, representing around 2% of the UK’s supply. In recent years, the region has seen its capacity grow, and now Deep Green is offering space that can be available in just a few weeks.
The quick turnaround is because Deep Green is taking a modular approach. Its Urmston facility supports rack densities of up to 150kW, making it suitable for GPU clusters and other high-performance computing environments. Deep Green also says the site operates at a sub-1.2 Power Usage Effectiveness (PUE), which would put it below many conventional data centres in terms of energy efficiency.
Mark Lee, CEO of Deep Green, commented, “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.”
Making use of waste heat
While the modular approach is what can get deployments live sooner, one of the more notable aspects of Deep Green’s model is its use of heat reuse. The company’s entire business model is based on capturing waste heat generated by compute infrastructure and repurposing it locally.
That heat can then be used by nearby buildings and community facilities, reducing the amount of energy wasted by high-performance computing workloads. As AI demand continues to grow, this kind of heat recovery is likely to become a bigger part of the conversation around data centre sustainability, especially as local communities and planning authorities scrutinise the sector’s energy use more closely.
In Urmston, Deep Green is diverting a lot of the heat generated by its colocation facility to the pools at the nearby Trafford Leisure Centre. That should help cut the cost of running the swimming pools, while also lowering their carbon intensity.
