Independent API research for builders How we review →
Cr
INDEPENDENT PLATFORM REVIEW

Crusoe Cloud

Programmable AI infrastructure for GPU and compute workloads

4.5Editorial scoreReviewed Sep 2026
Affiliate disclosureWe may earn a commission when you buy through links on this site. Rankings are based on our editorial criteria—not partner payments.Learn more

The quick take

Crusoe Cloud provides a versioned REST API for provisioning and managing AI infrastructure, including GPU and CPU virtual machines, managed Kubernetes, storage, networking, projects, quotas, and access controls.

OUR VERDICT

Crusoe Cloud is a compelling choice for teams that prioritize gpu and cpu virtual machines, managed kubernetes, storage and vpc networking. Validate the current limits against your expected production volume before committing.

Key features

✓GPU and CPU virtual machines
✓Managed Kubernetes
✓Storage and VPC networking
✓Versioned REST API
✓CLI and Terraform provider
✓Managed inference and fine-tuning

Pricing & free tier

No general free infrastructure tier is documented; on-demand resources are billed by usage with no setup fee. Pricing shown here is directional and should be confirmed on the provider’s website.

GPU instancesFrom $1.50/GPU-hrOn-demand L40S pricing; accelerator and commitment options vary
CPU instancesFrom $0.04/vCPU-hrGeneral-purpose on-demand compute
StorageFrom $0.06/GiB/moObject, shared, and persistent storage rates vary

Developer fit

Supported interfaces include REST, Python, Terraform, CLI. The right fit depends on your team’s operational needs, volume, compliance requirements, and preference for managed versus self-hosted infrastructure.

Frequently asked questions

What does Crusoe cloud do?

Crusoe Cloud provides AI-focused infrastructure including GPU and CPU virtual machines, managed Kubernetes, storage, networking, managed inference, fine-tuning, and automation through a REST API, CLI, and Terraform provider.

Is Crusoe a neo cloud?

Crusoe is commonly described as a neocloud because it specializes in GPU-intensive AI infrastructure rather than offering the full breadth of a traditional hyperscale cloud. Its platform includes programmable compute, orchestration, storage, and networking.