#22 · Primary category： AI Cloud Platforms & PaaS
pai
Resource scheduling and cluster management for AI
Project last updated：08/15/26
GitHub Stars
2.7K
Forks
552
Contributors
101
License
MIT
Why we included this project
OpenPAI is a practical choice for teams that want to run distributed AI training on a shared pool of GPU servers without assembling a stack of separate tools. It bundles Kubernetes-based scheduling, GPU-aware job queuing, and a web portal for submitting and monitoring training runs, so a small platform team can stand up an on-premise cluster on its own. Training jobs can be written in PyTorch, TensorFlow, or Chainer, and a REST API covers automation. The honest caveat is that the project entered stable mode after v1.8.1 and the repository is now read-only, so it suits organizations that want a proven, frozen platform rather than active upstream development.
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