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Cudo Compute
Production AI infrastructure for enterprise and regulated workloads
Rapidly-catching neocloud🇬🇧 GBgreenenterprisesovereign-ai
Last reviewed Mar 14, 2026
Cudo Compute designs, deploys and operates production AI infrastructure for enterprise and regulated workloads, delivering dedicated NVIDIA GPU clusters and AI factories across ISO 27001-certified facilities in the UK, EU, North America, APAC, and the Middle East.
GPU Models
3
From / hour
$0.87
Available GPUs
Hourly on-demand pricing. Click column headers to sort.
Prices last updated: September 13, 2026
Cudo Compute pricing by GPU
Configurations, price rank, and alternatives for one GPU at a time.
Pros & Cons
Advantages
- Current NVIDIA lineup spanning GB300, B300, VR200, GB200 NVL72, HGX B200, H200, and H100 systems
- Data center coverage across UK, EU, North America, APAC, and Middle East for latency and residency requirements
- Full lifecycle delivery covering architecture, deployment, and 24/7 operations by NVIDIA-certified engineers
- ISO 27001 and SOC 2 aligned environments with GDPR-aligned operations and sovereign data residency enforcement
- NVIDIA Cloud Partner with access to current GPU architectures and enterprise support
Limitations
- Catalog GPU systems are quote-on-request, so published rates are not available for comparison
- Positioned for enterprise cluster deployments rather than small-scale or experimental use
- Smaller managed service ecosystem than hyperscalers
- GPU availability varies by data center and model
Key Features
Enterprise GPU infrastructure
Dedicated access to NVIDIA GPUs including GB300, B300, VR200, GB200 NVL72, HGX B200, H200, and H100 in SXM and PCIe form factors
AI clusters
Multi-node GPU clusters for training and inference, commissioned to acceptance criteria before entering production
Regional deployment
Infrastructure across the UK, EU, North America, APAC, and the Middle East with in-region options for latency, residency, and regulatory needs
Managed operations
Foundational SRE included as standard with 24/7 monitoring, incident response, firmware management, and NVIDIA escalation paths
API and automation
REST API and documented workflows for provisioning, scaling, and lifecycle automation
Security and sovereignty
Controlled environments for enterprise and regulated workloads with jurisdictional control and sovereign data residency enforcement
AI factory solutions
Design and manage GPU facilities powered by NVIDIA GB300 NVL72, B300 and GB200 systems for production-ready AI infrastructure
Enterprise compliance
ISO 27001 and SOC 2 aligned operational environments with ISO 14001 environmental management and GDPR-aligned operations across facilities
NVIDIA Cloud Partner
NVIDIA Cloud Partner offering current NVIDIA GPU systems with tested infrastructure for AI and HPC workloads
Compute Services
GPU Cloud
On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.
- Hourly per-GPU billing for NVIDIA H100 and H200 instances
- Elastic storage and IPv4 reservation per instance
- Provisioning from the console or REST API
AI Clusters
Dedicated multi-node GPU clusters for high-performance training and inference.
- Supports H200, H100, HGX B200, GB200 NVL72, B300, and GB300 cluster builds
- Automated deployment using golden images, health checks, and benchmarking frameworks
- Private networking for inter-node traffic
Network and Storage
InfiniBand and Ethernet fabrics with high-performance storage for cluster workloads.
- InfiniBand fabric design for multi-node training
- High-performance storage built on VAST, Weka, or DDN
- Network architecture, management layer, and node automation delivered with the cluster
Managed Services
24x7 support, L3 response, and lifecycle operations for deployed GPU infrastructure.
- Foundational SRE included as standard rather than an add-on
- 24/7 monitoring and incident response with enterprise SLAs
- Firmware management and NVIDIA escalation paths
AI Factories
Engineered AI infrastructure with full lifecycle delivery from architecture to 24/7 operations.
- NVIDIA reference-aligned architectures with GB300 NVL72, B300 and GB200 systems
- Sovereign-ready infrastructure with jurisdictional control and data residency
- Precision engineering execution with workload-specific design and optimization
Object Storage
S3-compatible storage for datasets and model artifacts.
- Compatible with standard S3 APIs and tools
- Integrated with GPU compute resources
- Scalable storage for AI workloads
Pricing Options
| Option | Details |
|---|---|
| On-demand GPU VMs | Hourly per-GPU billing for virtual machine instances with no commitment |
| Quote-based cluster pricing | GPU systems in the published catalog are priced on request, with enquiries handled by the sales team |
| OPEX consumption models | Consumption-based commercial structures for predictable spend on long-term deployments |
| Long-term commercial agreements | Multi-year structures with defined upgrade paths across GPU generations and into multi-site environments |
Availability & Support
Regions
Global infrastructure across UK, EU, North America, APAC, and Middle East with ISO 27001-certified facilities and sovereign data residency options
Support
Enterprise SLAs with 24/7 infrastructure monitoring, L3 incident response, and lifecycle operations delivered by NVIDIA-certified engineers; sales and technical enquiries via the contact page.
Getting Started
- 1
Contact the team
Submit an enquiry from the pricing or contact page describing your workload, capacity, and region requirements.
- 2
Choose a region
Select a jurisdiction in the UK, EU, North America, APAC, or the Middle East to meet latency, residency, and compliance needs.
- 3
Design
Cudo produces an NVIDIA reference-aligned architecture covering InfiniBand fabric, storage, power, cooling, and rack layout.
- 4
Deploy
Systems are sourced through OEM channels including Dell, Lenovo, Supermicro, and HPE, then installed at power-ready sites against confirmed timelines.
- 5
Run
Clusters are commissioned to acceptance criteria and operated with 24/7 monitoring, incident response, and firmware management.
Frequently Asked Questions
What GPU types does Cudo Compute offer?
Cudo Compute offers various GPU types including A100 PCIE, H100 SXM, L40S. Check the pricing table above for current availability and pricing.
How do I get started with Cudo Compute?
Contact the team, Choose a region, Design, Deploy, Run
What are Cudo Compute's main advantages?
Cudo Compute's main advantages include: Current NVIDIA lineup spanning GB300, B300, VR200, GB200 NVL72, HGX B200, H200, and H100 systems, Data center coverage across UK, EU, North America, APAC, and Middle East for latency and residency requirements, Full lifecycle delivery covering architecture, deployment, and 24/7 operations by NVIDIA-certified engineers, ISO 27001 and SOC 2 aligned environments with GDPR-aligned operations and sovereign data residency enforcement, NVIDIA Cloud Partner with access to current GPU architectures and enterprise support.
What are Cudo Compute's limitations?
Cudo Compute's main limitations include: Catalog GPU systems are quote-on-request, so published rates are not available for comparison, Positioned for enterprise cluster deployments rather than small-scale or experimental use, Smaller managed service ecosystem than hyperscalers, GPU availability varies by data center and model.
Compare Providers
Find the best prices for the same GPUs and models from other providers
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