AIBooster - Performance intelligence and observability tools for AI workloads
Project description
AIBooster
AIBooster is a performance engineering platform for AI workloads.
Overview
AIBooster is an integrated platform that provides performance intelligence and performance observability for AI/ML workloads, consisting of the following components:
- Performance Intelligence (PI): Performance optimization framework
- Performance Observability (PO): Dashboards and agents for performance monitoring
Key Features
- Auto performance tuning
- Framework-friendly design supporting MMEngine, DeepSpeed, and Megatron-LM
- Kubernetes support
- Inference optimization
- Automatic model conversion for deep learning compilers (TensorRT, etc.)
- NCCL analysis tools
- Communication pattern analyzer
- Benchmark for PyTorch distributed training
Installation
pip install aibooster
Documentation
For detailed usage and API reference, please visit the official documentation.
Examples
For usage examples, please see aibooster-examples.
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