microsoft/pai

Health v2 · maintenance only

Adoption not part of the score

2688 stars · 552 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OpenPAI is an open-source AI platform from Microsoft that provides resource scheduling and cluster management for machine learning workloads on GPU clusters, built on Kubernetes. It offers a web portal, job submission SDK, and VS Code integration for training models with frameworks like TensorFlow and PyTorch.

Use cases

• manage a shared GPU cluster for deep learning teams
• schedule TensorFlow and PyTorch training jobs on Kubernetes
• allocate GPU resources fairly across AI researchers
• run Jupyter notebooks on a dedicated AI cluster
• set up an on-premise AI training platform
• queue and monitor distributed model training jobs

When to choose

• you need a full-featured, self-hosted GPU cluster manager for AI training
• your team shares limited GPU hardware and needs job scheduling and quotas
• you want a web portal and SDK on top of Kubernetes for ML workloads

When to avoid

• you need active development or new features - the repo is read-only since v1.8.1 (Dec 2021)
• you prefer a modern alternative like Kubeflow, Ray, or Volcano
• you only need single-machine training without cluster scheduling

Facets

service · maturity maintenance

container-orchestration scheduling machine-learning llm-training gpu-computing cloud self-hosted machine-learning deep-learning gpu-computing cloud-computing infrastructure-as-code artificial-intelligence self-hosted cloud gpu-cluster cluster-management resource-scheduling model-training jupyter tensorflow pytorch on-premise microsoft devops kubernetes docker linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="microsoft/pai")