SkyPilot: Manage all your AI compute#

SkyPilot is a system to run, manage, and scale AI workloads on any AI infrastructure.

SkyPilot gives AI teams a simple interface to run jobs on any infra. Infra teams get a unified control plane to manage any AI compute — with advanced scheduling, scaling, and orchestration.

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🌟 SkyPilot Demo 🌟: Click to see a 1-minute tour

Why SkyPilot#

SkyPilot is easy to use for AI users:

Quickly spin up compute on your own infra
Environment and job as code — simple and portable
Easy job management: queue, run, and auto-recover many jobs

SkyPilot makes Kubernetes easy for AI & Infra teams:

Slurm-like ease of use, cloud-native robustness
Local dev experience on K8s: SSH into pods, sync code, or connect IDE
Turbocharge your clusters: gang scheduling, multi-cluster, and scaling

SkyPilot unifies multiple clusters, clouds, and hardware:

One interface to use reserved GPUs, Kubernetes clusters, Slurm clusters, or 20+ clouds
Flexible provisioning of GPUs, TPUs, CPUs, with smart failover
Team deployment and resource sharing

SkyPilot maximizes GPU fleet utilization:

Autostop: automatic cleanup of idle resources
Binpacking: workload binpacking on shared clusters
Intelligent scheduler: automatically schedule on the most available infra

SkyPilot supports your existing GPU, TPU, and CPU workloads, with no code changes.

Current supported infra: Kubernetes, Slurm, AWS, GCP, Azure, OCI, CoreWeave, Nebius, Lambda Cloud, RunPod, Fluidstack, Cudo, Digital Ocean, Paperspace, Cloudflare, Samsung, IBM, Vast.ai, VMware vSphere, Seeweb, Prime Intellect, Shadeform, Verda Cloud, VastData, Crusoe.

SkyPilot Supported Clouds