GPU Colocation in the UK
Why the UK for GPU Colocation?
The United Kingdom is Europe's largest colocation market and one of the most mature data centre ecosystems in the world. More than 100 carrier-neutral facilities are spread across the country, with major clusters in London, Slough, Manchester, and Edinburgh. For AI companies deploying GPU hardware, this depth of supply translates into genuine choice -- competitive pricing, flexible contract terms, and access to high-density rack space that can support the thermal and power demands of modern accelerator hardware.
Connectivity is a core strength. The UK hosts LINX (the London Internet Exchange), one of the world's largest internet exchanges by traffic volume, along with extensive dark fibre networks and low-latency links to mainland Europe via subsea cables. Cloud on-ramps to AWS, Azure, and GCP are widely available, making hybrid deployments straightforward. Post-Brexit, the UK's independent data protection framework (UK GDPR) provides clear data sovereignty for organisations that need to keep data within British jurisdiction -- a factor increasingly relevant for regulated industries adopting AI.
The UK government has committed to reaching net zero by 2050 and has set interim targets that are driving renewable energy adoption across the data centre sector. Several operators now offer 100% renewable energy contracts, and facilities in Scotland and Wales benefit from natural cooling climates that reduce PUE. Combined with a deep pool of engineering talent, proximity to London's AI research ecosystem, and a stable regulatory environment, the UK remains the default choice for GPU colocation in Europe.
Key UK Colocation Hubs
GPU-ready colocation is available across the UK, though capacity, pricing, and cooling options vary significantly by region. The following hubs represent the primary markets for high-density AI workloads.
London
30+ DCs | Docklands, West London
Slough
20+ DCs | Europe's densest cluster
Manchester
10+ DCs | Northern hub
Birmingham
8+ DCs | Central UK
Edinburgh
5+ DCs | Natural cooling
Leeds
5+ DCs | Northern Powerhouse
Bristol
5+ DCs | South West tech
Cardiff
3+ DCs | Emerging market
Notable UK Providers for AI Workloads
The UK colocation market includes both global operators and domestic specialists. The following providers are particularly relevant for AI and GPU-intensive deployments.
Kao Data (Harlow)
Kao Data operates purpose-built facilities designed specifically for AI, HPC, and machine learning workloads. Their Harlow campus offers power densities exceeding 30kW per rack with direct liquid cooling infrastructure. The site is connected to LINX and major cloud providers, and has attracted anchor tenants from the AI research sector.
VIRTUS (London)
VIRTUS operates hyperscale-grade data centres across the London metropolitan area, including facilities in Stockley Park, Enfield, and Hayes. Their campuses offer significant power capacity with the infrastructure to support high-density GPU deployments. VIRTUS is part of the ST Telemedia Global Data Centres group.
Pulsant
Pulsant operates a network of regional data centres across the UK, with facilities in Edinburgh, Manchester, South London, and several other locations. Their distributed footprint is useful for organisations that need GPU capacity outside the London-Slough corridor, and they offer colocation alongside managed cloud services.
Datum (Farnborough)
Datum operates a boutique, high-security data centre campus in Farnborough. The facility holds government-level security accreditations and is suited to defence, financial services, and other regulated sectors requiring GPU infrastructure within a highly controlled environment. Power densities are available up to 25kW per rack.
nLighten
nLighten is building a growing portfolio of data centres across the UK and mainland Europe. Their strategy focuses on acquiring and upgrading existing facilities, bringing them to the standard required for modern high-density workloads. They are an emerging option for organisations needing colocation across multiple UK and European sites from a single provider.
Ark Data Centres
Ark Data Centres operates government-accredited facilities, including sites that hold the highest levels of UK government security clearance. Their campuses are purpose-built with substantial power and cooling headroom. Ark is a strong option for public sector organisations and defence contractors deploying AI workloads that require List X or equivalent accreditation.
Telehouse (London)
Telehouse operates major facilities in London Docklands, directly adjacent to LINX and with connections to over 700 carriers and ISPs. Their position as a connectivity hub makes them well suited to AI inference workloads that require low-latency access to multiple networks. Telehouse is part of the KDDI group.
Global Switch (London)
Global Switch operates a large carrier-neutral campus in London Docklands with significant total power capacity. The facility hosts a dense ecosystem of network operators, cloud providers, and enterprise tenants. Their scale and connectivity make them a viable option for large GPU deployments that need extensive cross-connect options.
AtlasEdge
AtlasEdge operates a distributed network of edge colocation sites across the UK, offering GPU hosting closer to end users than traditional centralised facilities. Their portfolio, built through the acquisition of former Colt and Liberty Global assets, spans multiple UK cities and is suited to organisations running distributed AI inference at the edge.
What AI Companies Need in UK Colocation
GPU hardware places fundamentally different demands on data centre infrastructure compared to traditional compute. When evaluating GPU colocation facilities in the UK, the following factors are critical.
- Power density: Modern GPU clusters -- particularly those built on NVIDIA H100, H200, or GB200 hardware -- require 30-50kW or more per rack. Many older UK data centres were designed for 4-8kW per rack and cannot accommodate this without significant retrofitting. Verify that a facility can deliver the power density you need at the rack level, not just in aggregate across a hall.
- Cooling: Air cooling alone is insufficient for high-density GPU racks. Liquid cooling adoption is accelerating across the UK market, with direct-to-chip and rear-door heat exchanger solutions becoming standard in new builds. Facilities purpose-built for AI workloads will offer liquid cooling infrastructure from day one; retrofit sites may require additional lead time and cost.
- Connectivity: Low-latency access to LINX, cloud on-ramps (AWS Direct Connect, Azure ExpressRoute, Google Cloud Interconnect), and abundant cross-connect options are essential. For training workloads, high-bandwidth interconnects between racks are equally important. For inference, proximity to end users or API consumers may dictate your choice of location.
- Compliance: UK facilities commonly hold ISO 27001 and SOC 2 certifications. For government or defence work, Cyber Essentials Plus and List X accreditation may be required. Post-Brexit, UK GDPR governs data protection independently of the EU framework, which matters for organisations handling personal data in AI pipelines.
- SLA terms: Production AI workloads demand 99.99% or higher uptime guarantees backed by meaningful service credits. Evaluate not just the headline SLA figure but the remediation terms, maintenance window definitions, and force majeure clauses. Tier III or Tier IV certified facilities provide the redundancy architecture that supports these guarantees.
UK Colocation Pricing
Colocation pricing in the UK varies significantly by region. London and Slough command a premium due to high demand and constrained power availability, while facilities in Manchester, Edinburgh, and other regional hubs can offer lower per-kW rates. Most GPU colocation is priced on a per-kW basis, with typical contracts ranging from 12 to 36 months. Shorter terms are available but usually at a premium.
For a detailed breakdown of current market rates and factors affecting pricing, see our guide to colocation pricing in 2026. For organisations considering locations beyond the UK, Amsterdam is the most common alternative, offering competitive power costs and excellent European connectivity.
Frequently Asked Questions
What power density can I get in UK data centres?
The leading GPU-ready facilities in the UK now offer 30-50kW or more per rack, with some purpose-built sites supporting even higher densities. However, availability varies significantly by location and operator. Many older facilities are limited to 8-15kW per rack. We help you identify which sites can genuinely support your power requirements before you begin procurement.
Is liquid cooling widely available in UK colocation?
Liquid cooling adoption is growing rapidly in the UK, driven by the thermal demands of modern GPU hardware. Purpose-built AI facilities such as Kao Data offer direct liquid cooling as standard, and several established operators are retrofitting existing halls. Availability is strongest in the London-Slough corridor and in newer builds elsewhere. If liquid cooling is a requirement, it is worth confirming specific rack-level capabilities rather than relying on facility-level claims.
How does UK data sovereignty work for AI workloads?
The UK operates under its own data protection regime (UK GDPR) following Brexit, which is separate from the EU's GDPR. Data processed and stored in UK colocation facilities remains under UK jurisdiction. For organisations in regulated sectors -- financial services, healthcare, defence -- this provides a clear legal framework. The UK has data adequacy agreements with the EU, meaning data transfers between the UK and EU remain straightforward for most use cases.
Should I choose London or a regional UK hub?
London and Slough offer the widest choice of facilities, the best connectivity, and the deepest carrier ecosystem. However, they also carry higher costs and increasing power constraints. Regional hubs like Manchester, Edinburgh, and Leeds offer lower pricing, good connectivity, and in some cases better access to renewable energy and natural cooling. The right choice depends on your latency requirements, budget, and scale. For more detail, see our complete guide to GPU colocation in the UK.
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