skypilot-org/skypilot
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 20+ clouds, or on-prem).
This project helps AI developers and infrastructure teams efficiently run, manage, and scale their AI workloads, such as model training or agent development. It takes your existing AI code and resource requirements, then provisions and optimizes the necessary compute resources across various cloud providers or on-premise systems. The output is your AI job running smoothly with optimized cost and resource utilization, accessible through a unified interface.
9,569 stars. Used by 3 other packages. Actively maintained with 138 commits in the last 30 days. Available on PyPI.
Use this if you are an AI developer or infrastructure engineer who needs to run complex AI workloads across different cloud providers, Kubernetes, or on-premise clusters, and you want to reduce costs and simplify resource management.
Not ideal if you only run simple, lightweight AI tasks on a single, fixed environment or if you prefer to manually manage all your cloud infrastructure configurations.
Stars
9,569
Forks
987
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
138
Dependencies
49
Reverse dependents
3
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