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SkyPilot v0.1.1

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@Michaelvll Michaelvll released this 09 Aug 22:46
· 2033 commits to master since this release
92ed4c4

Highlights

This is our first release for SkyPilot -- a framework for easily running machine learning workloads on any cloud through a unified interface. No knowledge of cloud offerings is required or expected – you simply define the workload and its resource requirements, and SkyPilot will automatically execute it on AWS, Google Cloud Platform or Microsoft Azure.

Key features

  • Run existing projects on the cloud with zero code changes
  • Easily provision VMs across multiple cloud platforms (AWS, Azure or GCP)
  • Easily manage multiple clusters to handle different projects
  • Quick access to cloud instances for development
  • Store datasets on the cloud and access them like you would on a local file system
  • No cloud lock-in – seamlessly run your code across cloud providers

Thanks

Many thanks to all those who contributed to this release!
@concretevitamin @romilbhardwaj @Michaelvll @infwinston @michaelzhiluo @WoosukKwon @suquark @mraheja @gmittal @iojw @lhqing @franklsf95

Full Changelog: https://github.com/skypilot-org/skypilot/commits/v0.1.1