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.
:fire: News :fire:
- [Oct 2026] SkyPilot's scheduler bumps NVL72 training throughput by 14%: blog
- [Oct 2026] Post-training a 4B model with RL to fly the Tesla Roadster 21% better than GPT-6 Astra: blog
- [Sep 2026] RL is Everything, Everywhere, All at Once: blog
- [Sep 2026] SkyPilot Agent Sessions: Mission Control for Coding Agents, on Your Infrastructure: blog
- [Jul 2026] Serving Kimi K3 on your own GPUs with SkyPilot: blog
- [Jul 2026] Run AI workloads on any cloud, store on Hugging Face, no egress fees to worry about: Hugging Face blog
- [Jun 2026] SkyPilot Endpoints: production-ready inference on every cluster you own: blog
- [Jun 2026] Announcing SkyPilot Sandboxes: run untrusted, LLM-generated code on the Kubernetes clusters you already own. Learn more, join early access
- [May 2026] How Multiverse doubled their GPU utilization with SkyPilot: case study
- [Apr 2026] Introducing GPU Compass: One dashboard to browse, compare pricing, and launch across every GPU cloud. Try it at gpus.skypilot.co.
- [Apr 2026] Research-Driven Agents: Agents read arxiv papers before coding, landed 5 llama.cpp kernel fusions and +15% faster flash attention in ~3 hours for ~$29: blog, HackerNews
- [Mar 2026] Scaling Karpathy's Autoresearch: Autoresearch runs 1 experiment at a time. We gave it 16 GPUs and let it run in parallel: blog, HackerNews
- [Mar 2026] How H Company Unlocked Online RL and Unified their AI Platform: case study
Overview
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.
Install with uv (also supported: pip, nightly, from source)
# Choose your clouds:
uv pip install "skypilot[kubernetes,aws,gcp,azure,oci,nebius,lambda,runpod,fluidstack,paperspace,cudo,ibm,scp,seeweb,shadeform,verda]"
To use SkyPilot directly with your agent (Claude Code, Codex, etc.), install the SkyPilot Skill. Tell your agent:
Fetch and follow https://github.com/skypilot-org/skypilot/blob/HEAD/agent/INSTALL.md to install the skypilot skill
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.
Getting started
Install SkyPilot in 1 minute. Then, launch your first cluster in 2 minutes in Quickstart.
SkyPilot is BYOC: Everything is launched within your cloud accounts, VPCs, and clusters.
Benefits of SkyPilot on Kubernetes
SkyPilot makes Kubernetes AI-native.
It turbocharges your existing Kubernetes clusters by accelerating AI/ML velocity:
- AI-friendly interface to launch jobs and deployments
- Much simplified interactive dev for K8s (SSH / sync code / connect IDE to pods)
...and optimizing GPU scheduling, utilization, and scaling:
This is the beginning of the README. Read the rest at the original. Read the full README ↗
