Cudo Compute vs IO.NET

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

Access to 300,000+ verified GPUs from 139 countries with 6,000+ cluster-ready GPUs

Deploy clusters in under 90 seconds with auto-scaling capabilities

Choose from containers, Ray clusters, or bare metal based on workload needs

Uses the same distributed computing framework that OpenAI used to train GPT-3

AI models, smart agents, and API integration for workflow automation

Kernel-level VPN with secure mesh protocols for data protection