pai

The premium Open Source alternative to Run:ai

🎯 Best for:Organizations running large-scale GPU clusters for deep learning.

What is pai?

Replaces generic Kubernetes schedulers for specialized AI training and inference workloads. It manages GPU resources and multi-tenant environments specifically for deep learning frameworks.

Tech Stack
JavaScriptAI, ML & Data

Why pai?

  • Optimized for high-performance GPUs
  • Comprehensive resource monitoring
  • Scalable to thousands of nodes

Limitations

  • Extremely complex installation
  • Requires deep Kubernetes expertise
  • Heavy infrastructure requirements
3/1/2026
Last Update
550
Forks
282
Issues
MIT
License
Financial Leak Detected

Stop the "SaaS Tax"

Your team could be burning cash. Switching to pai instantly boosts your runway.

Competitor Cost
-$1,440
/ year (est. based on Run:ai)
Self-Hosted
$0
/ year
Team Size10 Users
150+
SAVE 100%

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