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aibooster

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AIBooster - Performance intelligence and observability tools for AI workloads

Versions collected1

Direct dependencies22From release 0.5.0

Last observed21 Oct, 10:02 UTC

README

Version 0.5.0 documentation

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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Versions 1

Collected releases

Version	Published	Direct dependencies	Open version
0.5.0	27 Feb 2026	22

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Observed since 21 Oct, 10:02 UTC

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package:77ffe188192b948787208c819d5adcbc8ad35208cbf3a48e9e0a36d860fe990d