AI Data Centre Design and Build
As demand for high performance computing continues to rise, organisations require data centres capable of supporting AI and machine learning workloads without compromise.
Our AI data centre solutions are engineered to accommodate the unique power, cooling and high density requirements of advanced AI technologies. Ensuring operational reliability and scalability from day one.
AI Data Centre Design and
Build Solutions
We specialise in AI data centre design and build solutions tailored for high performance computing (HPC) and machine learning infrastructure. From concept to completion, we offer comprehensive AI data centre services that ensure every facility is AI ready and future proofed. Our approach integrates advanced cooling, power efficiency and rapid deployment which makes it ideal for clients seeking high efficiency with scalable growth.
Whether building a new site or upgrading an existing facility, we provide AI data centres that are built for performance, resilience, and long term operational success. Get in touch today to discover how our AI data centre services can transform your digital capability.
Plug & Play AI Data Centre Solutions
As part of our comprehensive AI solution, we can provide plug and play supercluster cabinets with inbuilt liquid cooling. These are designed to support the extreme thermal and power demands of today’s most advanced AI applications. Engineered for extensive parallel processing, the SuperCluster platform is ideal for large language model (LLM) training, generative AI inference, and other intensive AI applications.
By integrating Supermicro’s proven architecture into our end-to-end offering, we help clients build scalable, efficient, and AI ready environments. Get in touch today to learn more about how our AI ready infrastructure solutions can support your organisation’s next phase of digital innovation.
Contact us on 0844 225 0094 to book an exploratory meeting or click below to fill in our contact request form:
Discover what our AI data centre design and build services can offer.
Advanced Cooling Distribution
A Coolant Distribution Unit (CDU) is a critical component in liquid cooling systems, particularly within plug and play AI deployments where high density computing generates substantial heat loads. The CDU acts as an intermediary between the building’s primary chilled water supply and the secondary liquid cooling loop that serves IT hardware directly. CDUs are designed to support a range of cooling requirements, depending on the infrastructure in place.
- Air Cooled CDUs: Capable of supporting up to 22 kW per rack, suitable for moderate-density AI workloads where water infrastructure is limited or not preferred.
- Water Cooled CDUs: Capable of supporting up to 200 kW per rack when integrated with redundant water-cooling tower systems, ideal for intensive AI applications requiring consistent, high-capacity heat rejection.
Adaptable CDU Solutions
CDUs are highly adaptable solutions designed to meet the unique demands of modern AI data centres with high performance loads. Available in rack-mounted, floor standing or modular configurations, CDUs can be seamlessly integrated into new build solutions or retrofit environments, ensuring flexibility across a range tailored solutions.
Engineered for performance and reliability, today’s CDUs feature intelligent components such as variable speed pumps, integrated heat exchangers and dual power inputs for uninterrupted operation. Built in sensors continuously monitor flow rates, temperature differentials and pressure levels across both primary and secondary loops, delivering precise and responsive thermal control. All of which can be monitored by an external EMS or DCIM solution.
End to End AI Data Centre Services
Our process begins with specialist consultancy and planning where we work closely with you to assess existing infrastructure, business objectives and technical requirements. We then create a tailored roadmap for your AI data centre whether you're upgrading an existing site or starting from the ground up. With a clear strategy in place, our in-house design team develops bespoke, CAD driven layouts optimised for AI performance. Every element from power and cooling to AI architecture and spatial planning is engineered for efficiency and scalability.
Our turnkey installation and commissioning services ensure seamless deployment. Our experts manage every aspect from electrical systems and cooling solutions to rack integration, cable management, and fire suppression. Delivered to the highest industry standards and full regulatory compliance.
Case Study: North West Ambulance Service (NHS Trust)
Emergency Services, Data Centre Design and Build, With Expertise and Flexibility.
Case Study: Port of London Authority
Government Agency, Data Centre Design and Build Project Based In Kent.Case Study: Digital Space
Cloud Solutions Provider, Initial Consultancy and complete UPS Upgrade SolutionFAQs
Can you retrofit an existing data centre to make it AI ready?
Yes, we offer retrofit AI solutions to transform existing facilities. This may involve upgrading cooling systems, reconfiguring rack layouts, increasing power capacity, and integrating smarter environmental controls to handle AI specific workloads efficiently.
Do you support edge or modular AI data centre builds?
What makes your solution different?
We combine our deep data centre expertise with real world understanding of AI infrastructure requirements. Our solutions are built with future scalability, energy efficiency, resilience, and workload optimisation in mind.
Do your solutions support GPU clusters and specialised hardware like TPUs or FPGAs?
Are the data centre’s you maintain energy efficient?
Yes! All of our data centres are maintained and optimised to reduce annual energy consumption and create more efficient environments with a low power usage effectiveness (PUE).
How do you manage high power density in AI ready data centres?
Is Your Data Centre Ready For AI?
In 2025 the demand for AI ready facilities is soaring with sectors such as finance, healthcare, research, and manufacturing relying on high performance computing (HPC) to support AI and machine learning (ML) workloads. To keep pace with the ever growing demands of AI, data centres must evolve by adopting more powerful and scalable energy efficient solutions capable of supporting high density workloads.
