Enterprise DNAEnterprise DNA

Open Source

PAI

Resource scheduling and cluster management for AI

Our verdict

Not reviewed yet

We have not reviewed PAI yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About PAI

PAI is an open-source resource scheduling and cluster management platform for AI workloads. It manages job submission, resource allocation, and monitoring across GPU clusters. Built with JavaScript, it provides a web interface for managing distributed training and inference tasks.

Best for

Teams needing an open-source scheduler for managing GPU clusters used in AI training and experimentation

Use cases

  • Scheduling distributed training jobs on shared GPU clusters
  • Managing resource allocation and job queues for AI workloads
  • Monitoring cluster utilization and job status via a web dashboard

Notes

2,687 stars on GitHub. Last updated 2024-06-06. Licensed MIT.

Pros

  • Open source with a community-driven development model
  • Provides a centralized web interface for cluster management
  • Supports scheduling for diverse AI workloads across GPU nodes

Cons

  • Limited to resource scheduling and does not include model serving or data pipelines
  • Community-maintained, so updates and support may be less predictable than commercial tools
  • Requires significant setup and configuration for production clusters

Key facts

What we have checked

Latest version
1.8.0 (released 16 July 2021)
Checked GitHub
GitHub stars
2,692
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How PAI is growing

GitHub stars

2,687 to 2,692

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Alternatives

Alternatives to PAI

RecordTypeHow we knowChecked
Argo WorkflowsThis is an alternative to itOpen sourceNamed in the listingNot dated
KubeflowThis is an alternative to itOpen sourceNamed in the listingNot dated

Compare

Compare PAI side by side

Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Shut down

    Source: GitHub

  2. Released 1.8.0

    Source: GitHub

  3. Released 1.7.0

    Source: GitHub

  4. Released 1.6.0

    Source: GitHub

  5. Released 1.5.0

    Source: GitHub

  6. Released 1.4.1

    Source: GitHub

  7. Released 1.4.0

    Source: GitHub

  8. Released 1.3.0

    Source: GitHub

  9. Released 1.2.1

    Source: GitHub

  10. Released 1.2.0

    Source: GitHub

  11. Released 1.1.1

    Source: GitHub

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.