Cudo Compute vs Vast.ai

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

Prices set by supply and demand across the platform with no list prices or hidden fees

GPU Cloud for full control, Serverless for zero-ops inference, Clusters for large-scale training

CLI, Python SDK, and REST API for programmatic GPU provisioning, installed together via a single package

API-native workflow intended for AI agents to search, procure, and release compute autonomously

Prebuilt templates for popular open-source models, plus custom templates any GPU can run with one click

Scale from $5 to 20,000 GPUs across 40+ data centers without contracts or minimums