Cudo Compute vs DigitalOcean

Dedicated access to NVIDIA GPUs including GB300, B300, VR200, GB200 NVL72, HGX B200, H200, and H100 in SXM and PCIe form factors

Multi-node GPU clusters for training and inference, commissioned to acceptance criteria before entering production

Infrastructure across the UK, EU, North America, APAC, and the Middle East with in-region options for latency, residency, and regulatory needs

Foundational SRE included as standard with 24/7 monitoring, incident response, firmware management, and NVIDIA escalation paths

REST API and documented workflows for provisioning, scaling, and lifecycle automation

Controlled environments for enterprise and regulated workloads with jurisdictional control and sovereign data residency enforcement

On-demand NVIDIA and AMD GPU instances with per-hour billing and no long-term contracts.

Pre-configured images with PyTorch, TensorFlow, and CUDA for immediate productivity.

GPU Droplets work seamlessly with DigitalOcean's networking, storage, and managed databases.

Transparent per-hour pricing with no hidden fees or complex instance families.