Understand the project
Practical overview
When it fits
Use OpenPAI when an organization operates shared AI infrastructure and needs scheduling and cluster-management capabilities rather than a hosted end-user AI application.
Who it is for
- Organizations sharing AI compute resources among teams
- Cluster administrators operating GPU, FPGA or other heterogeneous AI infrastructure
- AI platform teams needing scheduling, monitoring and cluster-management components
Documented uses
- Allocate shared AI computing resources across teams
- Manage and monitor clusters and jobs
- Coordinate GPU-oriented workloads and related AI assets
- Provide a modular base for customized AI infrastructure
Before you choose
Requirements & limits
The project is publicly available as open-source software under the MIT license. The repository README states that it entered stable mode after version 1.8.1, with no major feature release planned, and was changed to read-only mode.
- Whether the organization operates its own AI cluster and heterogeneous hardware
- The need to share GPU or FPGA resources across teams
- Kubernetes integration and cluster-management requirements
- The importance of ongoing major feature development, given the repository's stated read-only status
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Evidence and transparency
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 30 September 2026
- Original website title
- microsoft/pai · Official homepage title · retained in its source language