CUDO Compute designs, commissions and operates production AI infrastructure. We secure land, provision power and deploy NVIDIA GPU clusters to deliver environments engineered for large scale AI training and inference workloads.
Infrastructure and technology partners
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.
Industry perspective
Stefan Nilsson, COO, Conapto
“In the Nordics, we place great importance on operational excellence, customer experience and transparent partnerships built on trust. CUDO reflects these values in the way they design and deploy high density GPU environments, making them a natural partner for demanding AI and high performance computing projects.”
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
Operational outcomes
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
AI infrastructure operated by experienced engineers
Designed, deployed and operated by engineers with over 20 years of data centre experience and a collective track record across partnerships and direct operations of delivering and operating more than 300,000 GPUs globally.
Enterprise SLAs and real time monitoring
Compliance across UK, EU, North America, APAC and Middle East jurisdictions
Operated by NVIDIA certified engineers
24/7 infrastructure monitoring and operational support
The CUDO infrastructure model
CUDO Compute addresses the real world constraints of AI deployment across land, power and compute, delivering reliable GPU infrastructure for enterprise workloads.
Regional deployment
Deploy where your workload needs to run.
- Infrastructure across the UK, EU, North America, APAC and the Middle East
- In-region options for latency, residency and regulatory needs
- ISO 27001 and SOC 2 aligned operational environments
AI clusters
Dedicated GPU clusters for sustained AI workloads.
- High-density environments for training and inference
- Architectures aligned to NVIDIA reference designs
- Designed for multi-node AI deployments at scale
Power & colocation
Power-ready sites for high-density AI infrastructure.
- Sites selected for power, cooling and connectivity
- Deployment planning aligned to future capacity growth
- Colocation options matched to cluster requirements
Managed services
Operational delivery from deployment through production.
- Commissioning and acceptance testing
- 24×7 monitoring and L3 operational support
- Maintenance, patching and lifecycle management
Network & storage
The data plane that keeps GPUs fed.
- InfiniBand and Ethernet cluster design
- Support for VAST, WEKA, DDN and NetApp integrations
- Performance tuning across compute, storage and scheduling
Security & sovereignty
Controlled environments for enterprise and regulated workloads.
- Data residency and access boundary requirements
- Cluster isolation and security policy support
- Support for regulated and compliance-sensitive deployments
Regional deployment
Deploy in the right region for latency, residency and compliance.
Manage services
24x7 support, L3 response and lifecycle operations.
AI clusters
Dedicated GPU clusters for training and inference.
Network & storage
InfiniBand, Ethernet and high-performance storage.
Power & colocation
Power-ready sites for high-density AI infrastructure.
Security & sovereignty
Controlled environments for enterprise and regulated workloads.
Land. Power. Compute.
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
Deploy production-scale enterprise AI
Secure GPU infrastructure aligned to NVIDIA Enterprise Reference Architecture, delivered with the power, engineering and operational support required for production AI deployments.