Crusoe

Crusoe is an AI infrastructure and cloud computing platform built for teams training, fine-tuning, and serving machine learning models. The platform combines on-demand GPU instances with managed Kubernetes and Slurm, high-throughput storage, serverless fine-tuning, and managed inference. Developers can choose NVIDIA and AMD hardware, retain control of their software stack, or use managed services to reduce infrastructure work. Selected GPU models have hourly rates, while newer accelerators and reserved capacity use custom sales quotes. That range supports both experimental workloads and sustained production deployments, but buyers should estimate GPU hours, storage, and orchestration needs before committing. Data pipeline support includes shared disks, common ingestion tools, Spark or KubeRay transformations, snapshots, backups, and zero ingress and egress fees. Managed inference can expose high-availability API endpoints for curated or customer-owned models. Crusoe is most relevant to AI teams that need specialized compute and are comfortable comparing infrastructure configurations rather than buying a simple fixed-seat software plan.