Cudo Compute
Cudo Compute is a sovereign-friendly GPU cloud that offers on-demand and reserved access to enterprise GPUs, VMs, bare metal, and clusters across multiple global data centers.
Key Features
- GPU-first cloud
- On-demand and reserved GPU capacity with models ranging from V100 and A40 to L40S, A800, A100 80 GB, and H100 SXM
- Cluster and bare metal options
- Deploy VMs, dedicated bare metal, or multi-node GPU clusters for training and inference
- Global data center catalog
- Marketplace view with locations in the UK, US, Nordics, and Africa plus renewable energy indicators
- API and automation
- REST API and documented workflows for provisioning, scaling, and lifecycle automation
- Enterprise focus
- Supports sovereignty requirements with regional choice, private networking, and support for reserved capacity
Provider Comparison
Advantages
- Wide GPU lineup including flagship H100 and A100 alongside cost-effective V100/A40/L40S options
- Data center coverage across UK, US, Nordics, and Africa for latency and sovereignty needs
- Transparent per-GPU pricing with visible commit-term discounts in the catalog
- Choice of VMs, bare metal, and clusters for different performance and tenancy needs
Limitations
- Smaller managed service ecosystem than hyperscalers
- GPU availability varies by data center and model
- Account approval may be required for larger reservations
Available GPUs
GPU Model↑ | Memory | Hourly Price |
|---|---|---|
A100 PCIE | 40GB | $1.50/hr |
A40 | 48GB | $0.39/hr |
RTX A5000 | 24GB | $0.35/hr |
RTX A6000 | 48GB | $0.45/hr |
Tesla V100 | 32GB | $0.39/hr |
Compute Services
GPU Cloud
On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.
Features
- Supports NVIDIA GPUs from V100 through H100 with per-GPU pricing
- Elastic storage and IPv4 reservation per instance
- Provisioning from the console or REST API
Virtual Machines
CPU and GPU-backed VMs for general workloads and AI inference.
Features
- Multiple CPU families and memory/vCPU ratios
- Attach GPUs as needed for acceleration
- Region-aware placement for latency targets
Bare Metal and Clusters
Dedicated servers and multi-node GPU clusters for high-performance training and rendering.
Features
- Supports H100, A100 80 GB, L40S, and A800 cluster builds
- Commitment options for capacity guarantees and better rates
- Private networking for inter-node traffic
Pricing Options
| Option | Details |
|---|---|
| On-demand GPU VMs | Hourly per-GPU pricing with published rates by data center and GPU model |
| Reserved Capacity | Commitment-based discounts across multiple term lengths for predictable spend and guaranteed supply |
| Bare Metal and Cluster Quotes | Dedicated hardware and multi-node clusters priced per reservation with private networking options |
Getting Started
Create an account
Sign up and log into the Cudo Compute console.
Choose a data center
Pick a location such as Manchester, Stockholm, Kristiansand, Lagos, or US regions to meet latency and sovereignty needs.
Select hardware
Pick your GPU model (e.g., H100, A100 80 GB, L40S, A800, V100) and configure vCPUs, RAM, and storage.
Launch a VM or cluster
Deploy a single VM, bare-metal server, or scale out with clusters from the console or API.
Secure and monitor
Attach networking, reserve IPv4, and monitor usage through the dashboard or API endpoints.
Compare Providers
Find the best prices for the same GPUs from other providers
