Crusoe vs Gcore

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

GPU and inference workloads deployable across 50+ cloud locations and 210+ points of presence worldwide

8-GPU B300 SXM servers and 72-GPU GB300 NVL72 racks offered alongside H200, H100, A100 and L40S

Managed inference platform with autoscaling, fast cold starts and protected endpoints, billed on the compute time actually used

Dedicated 8-GPU bare-metal clusters or single-GPU virtual machines, with multi-node clusters provisioned in a single API call and automatic InfiniBand setup

AI Cloud Stack and Everywhere AI for running models on enterprise, third-party cloud or on-premises infrastructure