SkyPilot

Overview

SkyPilot is an open-source framework for running, managing, and scaling AI workloads across any infrastructure. It provides a unified interface to access and manage compute resources from Kubernetes, Slurm, 20+ cloud providers, and on-premises systems.

Best for

Best for
Teams that need to run AI workloads across diverse compute environments without being tied to a single provider

Use cases

• Launch and orchestrate distributed training jobs across multiple clouds
• Migrate workloads between on-prem and cloud without rewriting scripts
• Optimize cost by selecting the cheapest available GPU instance for a job

Notes

SkyPilot is an open-source framework for running, managing, and scaling AI workloads across any infrastructure. It provides a unified interface to access and manage compute resources from Kubernetes, Slurm, 20+ cloud providers, and on-premises systems.

10,051 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

• Launch and orchestrate distributed training jobs across multiple clouds
• Migrate workloads between on-prem and cloud without rewriting scripts
• Optimize cost by selecting the cheapest available GPU instance for a job

Pros

• Supports a wide range of backends including Kubernetes, Slurm, and major clouds
• Reduces vendor lock-in by abstracting infrastructure differences
• Active community with over 10,000 GitHub stars

Cons

• Requires Python and some infrastructure knowledge to set up
• May have a learning curve for teams new to multi-cloud orchestration
• Not a full MLOps platform; focuses on compute management only

Indexed from awesome-llm and enriched against its public facts.