skypilot

Run AI on Any Infrastructure

[🌟 **SkyPilot Demo** 🌟: Click to see a 1-minute tour](https://demo.skypilot.co/dashboard/)

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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:fire: *News* :fire:

• [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] SkyPilot Agent Skills: GPU access and job management for AI agents: **docs**
• [Jan 2026] Shopify case study: Shopify runs all AI training workloads on SkyPilot: **case study**
• [Dec 2025] SkyPilot v0.11 released: Multi-Cloud Pools, Fast Managed Jobs, Enterprise-Readiness at Large Scale, Programmability. **Release notes**
• [Dec 2025] Train an agent to use Google Search as a tool with RL on your Kubernetes or clouds: **blog**, **example**
• [Oct 2025] Run RL training for LLMs with SkyRL on your Kubernetes or clouds: **example**

Overview

SkyPilot **is easy to use for AI teams**:

• 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

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