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0.5.0
PyPIaibooster
AIBooster - Performance intelligence and observability tools for AI workloads
Published27 Feb 2026
Direct dependencies22
Transitive dependenciesNot calculated
README
Version 0.5.0 documentationAIBooster
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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Declared dependencies 22
Native requirements22 direct targetsNot calculated transitive count
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aibooster-0.5.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
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aibooster-0.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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aibooster-0.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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aibooster-0.5.0-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
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aibooster-0.5.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
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Metadata history
Meaningful changesRecord identity
package_version:10576bc99f52c6fbfe2523da8fbdd5be0f8fcbbeb083232cd3179bc608c17d21