AI and Machine Learning petal image-3

High-density workflows need specialist infrastructure.

Discover the essentials

Infrastructure that enables AI and machine learning

AI and ML rely on powerful computing and HPC. But this comes with specific needs:

  • High power density
  • Advanced cooling capabilities
  • High capacity, low latency networks

Our data centres and private cloud platforms are purpose-built to handle these requirements. Power capacity up to 45kW per rack and a choice of rear door or immersion cooling will take care of your machines. And our high-speed, low-latency data connections, direct from our resilient core network, ensures seamless connectivity, whatever you are working on.

Is AI and machine learning on your radar?

If AI and machine learning are on your digital transformation roadmap, you need the support of an experienced partner with a proven record in the field. We’ve been running advanced IT infrastructure for more than a decade, offering:


Colocation facilities designed for HPC

Our Gatwick data centre was designed to support the HPC clusters needed to run your AI and machine learning applications. Powered by renewable energy and cooled with award-winning, energy-efficient systems, it’s not only capable – it’s sustainable.


Experienced staff who speak your language

Whether you decide to run your own platforms or use an HPC private cloud built by our engineers, we understand the applications you’re running, the programming languages you’re using and the challenges you’re facing.


Custom design that works for you

We work with you from the outset to design a bespoke service package that meets your requirements, whether that’s dedicated networking for data ingress, specific CPU variants, or advice on virtualising GPU workloads.