Project Overview
ai-performance-engineering is the open-source companion repository for the O'Reilly book "AI Systems Performance Engineering". It offers practical code and experiments for AI infrastructure performance optimization.
Core Contents
The repository covers the following areas:
- GPU optimization
- Distributed training
- Inference scaling
- Full-stack tuning
Through Python code and experiments, engineers can gain deep insights into performance engineering practices for AI systems.
Community and License
The project has over 1600 GitHub stars and is licensed under Apache-2.0. The primary language is Python.
Getting Started
Please refer to the repository README for installation and usage instructions.










Comments
No comments yet
Be the first to comment