Crusoe vs Cudo Compute

Vertically integrated power sourcing across wind, solar, hydropower, geothermal, natural gas, and carbon capture

Machines are deployed quickly when they are launched

Persistent and shared disks, object storage, and a container registry for AI datasets

Provides instances with NVIDIA SXM GPU interconnects

99.5% uptime commitment backed by 24/7 enterprise-grade support

LLM inference with up to 9.9x faster time-to-first-token and 5x higher throughput versus vLLM

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