Cudo Compute vs Spheron

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 GPU capacity from multiple cloud providers and certified data centers from one account, without separate signups per provider

Instances are billed by the minute with no minimum rental period or rounding up to the hour

Instances are typically ready in under two minutes with no approval workflow or provisioning queue

Compute spend across every connected provider is tracked in a single dashboard

Each VM or bare metal instance includes NVMe SSD storage, network bandwidth, a dedicated IP address and full root access

Spheron sources large clusters, specific hardware and InfiniBand configurations from its partner data center network, with a typical quote turnaround of 24-48 hours