infrastructure
Infrastructure built for enterprise AI in production
Standards and certifications
NVIDIA
ISO 27001
Multi region deployments
250MW+ contracted capacity in 2026
AI scales when infrastructure is aligned
CUDO is built to align them.
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.
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.
Infrastructure belongs at the point of site selection
“Too many projects bring in the infrastructure team after the site is selected and the power is agreed. By that point, half the decisions that determine whether the facility can actually operate have already been made by people who don’t understand the mechanical consequences. Infrastructure has to be at the table from day one of site selection.”
TIM DYCE, CTO of Cudo compute
Land-adjacent deployment blockers by region
Factors delaying or preventing AI infrastructure deployment | n=701
These blockers show up early, in planning timelines, grid access and site viability.
Based on input from over 701 infrastructure leaders and leading companies in the space, Land. Power. Compute explores how these decisions impact real deployments.
Deployment proof
An AI infrastructure platform operator engaged CUDO to remediate, commission and operate NVIDIA H100 and H200 GPU infrastructure across data centers in North America, Europe and the Middle East.
Programme requirements
An AI infrastructure platform operator required production GPU capacity to support AI training and inference workloads
The customer had identified data center infrastructure resources across North America, Europe and the Middle East that required substantial remediation before GPU deployment
A consistent deployment and operating model required across sites
Internal engineering teams required to remain focused on AI platform and customer workloads rather than infrastructure remediation and cluster operations
What we delivered
Deployment of NVIDIA H100 and H200 GPU clusters across data centers in North America, Europe and the Middle East
Remediation and commissioning of existing infrastructure environments to support production GPU clusters
CUDO designed and deployed the network architecture, storage infrastructure, management layer and node automation
Automated cluster deployment using golden images, health checks and benchmarking frameworks
Cluster environments commissioned and accepted into production within approximately two months
What we delivered
Production GPU infrastructure supporting AI training and inference workloads for multiple internal teams and external partners
Monitoring, hardware lifecycle support and operational consultancy delivered with CUDO and partner infrastructure teams
A standardized deployment and operating model in place across all sites
Infrastructure environments operational across North America, Europe and the Middle East
Infrastructure and technology partners
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
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
How CUDO can help
Planning GPU capacity requirements within defined deployment timelines
Assessing alternatives to hyperscalers due to cost, quota, or density constraints
Designing sovereigns or jurisdiction specific AI infrastructure
Preparing to move from pilot workloads to production environment
Exploring dedicated infrastructure for performance consistency
Defining long-term infrastructure strategies across regions
Our team can work with you to scope capacity, architecture, and deployment approaches aligned to your requirements.