Bare metal
Bare metal GPU servers built for value and scale
What sets us apart
Engineered AI factories
We build production environments for AI, not just provisioned clusters. Full lifecycle delivery from architecture and integration through to 24/7 operations.
Sovereign-ready Infrastructure
Jurisdictional control, data residency and compliance built into every deployment. ISO 27001 and SOC 2-aligned controls with GDPR-aligned operations across our facilities.
Supply and power advantage
Power-backed European sites with direct grid connections. Access to constrained NVIDIA supply through validated OEM channels. A multi-gigawatt pipeline, including exclusive sites.
Precision engineering execution
NVIDIA reference-aligned architectures with workload-specific design, tuning and optimisation. We commission to acceptance criteria so performance stays stable in production.
Velocity to value
Faster time to production through Design → Deploy → Run, with defined milestones from contract to acceptance.
Enterprise AI economics
OPEX consumption models for predictable spend. Commercial structures aligned to long-term plans with clear upgrade paths across generations and into multi-site environments.
Designed for enterprise AI
This is how we translate real-world constraints into reliable, production-grade GPU infrastructure.
How we deliver
We focus on activation as well as allocation, ensuring GPU capacity is deployed, performant and ready for production.
Design
NVIDIA reference-aligned architectures validated for training and inference. Cluster design covering InfiniBand fabrics, high-performance storage (VAST, Weka, DDN), power, cooling and rack layout.
Deploy
Secured NVIDIA systems through established OEM channels. Power-ready European sites with confirmed timelines. Hardware delivery through Dell, Lenovo, Supermicro and HPE partnerships.
Run
Foundational SRE as standard, not an add-on. 24/7 monitoring, incident response, firmware management and NVIDIA escalation paths. Clusters enter production in a stable, reference-aligned state.
Built for what comes next
CUDO Compute exists to close the gap between AI ambition and infrastructure reality.
Drawing on deep experience in high-performance computing and data centre operations, we deliver GPU environments built to be governed, scaled and sustained over time.
Meet the team
Matt Hawkins, Cofounder & CEO
Founded and exited the UK's largest data centre marketplace and third-largest connectivity provider, one of the sector's fastest-growing companies. 20+ years building cloud infrastructure at scale. Launched CUDO Ventures in 2018, now leading Europe's enterprise AI infrastructure expansion.
Mark Denney, SCO
20 years Investment Banking experience. UK Government Advisor and HMRC CIO delivering UK COVID schemes and BREXIT Technology.
Lee Woodham, COO
Scaled and exited previous FinTech companies.
Pete Hill, Cofounder & CBDO
15 years in multi-site cloud and data centre, building direct and channel sales teams.
Chris Hingley, Sales Director
Ex-Nscale co-founder; ex-FlexAI VP
Salam Al-mosawi, CGO
Ex-Nscale co-founder; ex-FlexAI CCO, highly experienced Chief Product Officer in AI, and HPC
Tim Dyce, CTO
15+ years building Top 500 clusters globally with extensive experience across HPC and data centre.
Vince Howard, CMO
10+ years scaling startup and fintech brands to hundreds of millions in value.
David Bell, CFO
Experienced IT CFO, Entrepreneur Successfully exited multiple businesses.
Operating at global enterprise scale
CUDO Compute operates across ISO 27001-certified facilities in North America, Europe, the UK and MENA, supporting enterprise AI infrastructure at global scale
Security and compliance
ISO 27001 Information Security
ISO 14001 Environmental Management
SOC 2 Compliance
GDPR-aligned operations
Sovereign data residency enforcement
Capacity pipeline
250MW+ contracted by end 2026
750MW+ targeted by end 2027
Multi-GW pipeline including exclusive European sites
Ready to deploy production-grade AI infrastructure
Speak with our technical team about deploying production-ready AI infrastructure at enterprise scale.