Cudo Compute

What's good about Cudo Compute

• 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

Cudo Compute GPU prices

3 GPU models across 3 configurations. Rank compares Cudo Compute's cheapest on-demand listing for each GPU with every provider's cheapest.

What a run costs on Cudo Compute

24 hours at today's cheapest listing for each GPU, at the size it is listed.

• 1× H100 SXM for 24 hours

  At $1.79/GPU-hr

  $42.96

  $33.84 under the market median rate

• 1× L40S for 24 hours

  At $0.870/GPU-hr

  $20.88

  $3.78 under the market median rate

• 1× A100 PCIE for 24 hours

  At $1.50/GPU-hr

  $36.00

  $1.20 under the market median rate

The market median is every provider's cheapest on-demand price for that GPU.

Billing & terms

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

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.

Watch out for

• 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

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

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

Getting started

1. Step 1

   Contact the team

   Submit an enquiry from the pricing or contact page describing your workload, capacity, and region requirements.

2. Step 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. Step 3

   Design

   Cudo produces an NVIDIA reference-aligned architecture covering InfiniBand fabric, storage, power, cooling, and rack layout.

4. Step 4

   Deploy

   Systems are sourced through OEM channels including Dell, Lenovo, Supermicro, and HPE, then installed at power-ready sites against confirmed timelines.

5. Step 5

   Run

   Clusters are commissioned to acceptance criteria and operated with 24/7 monitoring, incident response, and firmware management.