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.
Metadata
Release files for aibooster 0.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 5.0 MB
Release files / aibooster-0.5.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
| Download URL | aibooster-0.5.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl |
|---|---|
| Size | 495.6 kB |
| Tags | CPython 3.12 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
3a5b1bda4ceca21215a6a044ba35656f7f7a77b5663b4c72cd5f970a2e6269ec
|
|
BLAKE2b-256 checksum How to use checksums |
f46494367a1e01b133f5107eb2e5bb1c1821004005100df7b87a5c4f464daa08
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.20
|
Release files / aibooster-0.5.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
| Download URL | aibooster-0.5.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl |
|---|---|
| Size | 555.4 kB |
| Tags | CPython 3.12 Linux glibc 2.17+ ARM64 |
|
SHA-256 checksum How to use checksums |
9c7110c9ba02157a00f13e4dbd079c38f054f7ba7b174a99d588d154c738fa3c
|
|
BLAKE2b-256 checksum How to use checksums |
4a1ccadf1ffcde1c2f5cd9e314782c6226a2e29a51eea5173d00bf2be2e7c3a5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.20
|
Release files / aibooster-0.5.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
| Download URL | aibooster-0.5.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl |
|---|---|
| Size | 513.8 kB |
| Tags | CPython 3.11 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
888b45fabed2f946a4ce113dd93dc36ab2407d92b97997f944a3d43aceaa7acf
|
|
BLAKE2b-256 checksum How to use checksums |
a4a8c1ace0ef7aee21df79b0ea2c7c460288f0109309edabe4c0e6c7a2a71d17
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.20
|
Release files / aibooster-0.5.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
| Download URL | aibooster-0.5.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl |
|---|---|
| Size | 573.5 kB |
| Tags | CPython 3.11 Linux glibc 2.17+ ARM64 |
|
SHA-256 checksum How to use checksums |
edceb3ca658f2bd2b00063720887c5cd5f36f23a69f9a15a3cad770fefc45788
|
|
BLAKE2b-256 checksum How to use checksums |
30370667e353740fed41303659ce2b521056bac4f53c5c11c6088a1e0cfabebe
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.20
|
Release files / aibooster-0.5.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
| Download URL | aibooster-0.5.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl |
|---|---|
| Size | 452.7 kB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
6211fcda48a386fb57fea8549ecc471591fa34bcfb468ba33be5f04d0c4c06df
|
|
BLAKE2b-256 checksum How to use checksums |
4c4abce90bc3017d4193f23ab623bc207018f90b2c10f63e3c0b17084e6d7254
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.20
|
Release files / aibooster-0.5.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
| Download URL | aibooster-0.5.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl |
|---|---|
| Size | 512.9 kB |
| Tags | CPython 3.10 Linux glibc 2.17+ ARM64 |
|
SHA-256 checksum How to use checksums |
8237b6bea3db3d5de82c22b0160a2a692ea81c1c449302ec402ae7e5c0769691
|
|
BLAKE2b-256 checksum How to use checksums |
d27be5dfbbe79223d6a0e4ccb835b82f66ca620db8fc81341057ce52c665ad9b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.20
|
Release files / aibooster-0.5.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
| Download URL | aibooster-0.5.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl |
|---|---|
| Size | 457.9 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
c19f3b0a2e64dd32e804d3816a816d3c54f8f86cd718d4b958cea2a2a679cb0a
|
|
BLAKE2b-256 checksum How to use checksums |
e806de42d2b4dff9e32a3058f17ace3c23697adf8e4fba9ac0ba4049c3710c30
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.20
|
Release files / aibooster-0.5.0-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
| Download URL | aibooster-0.5.0-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl |
|---|---|
| Size | 513.0 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ ARM64 |
|
SHA-256 checksum How to use checksums |
157731e4c8c6cf583794127bd6159253fbf6b6b62ee561c53ef98b4c08b58a22
|
|
BLAKE2b-256 checksum How to use checksums |
7d985bfc2fc32ac803ef3f466febef83c75df03c10869aa82b1a02511ebe16f9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.20
|
Release files / aibooster-0.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | aibooster-0.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 456.4 kB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
2725e7799cdae816eee60ef6cd38d0f0c13f022df96053e1202c9a142a5e9f2c
|
|
BLAKE2b-256 checksum How to use checksums |
296739c2d5ba724f1ba3570be2340694a9d891587c22ced6419400e2cac50536
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.20
|
Release files / aibooster-0.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | aibooster-0.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|---|---|
| Size | 510.6 kB |
| Tags | CPython 3.8 Linux glibc 2.17+ ARM64 |
|
SHA-256 checksum How to use checksums |
8e616b47fcda8bcdd2ec4ea2b750378b958b74e3df4348a9b9da2c6aa987c49e
|
|
BLAKE2b-256 checksum How to use checksums |
ce770d4bf93dd77a20a70062aae5538cc04803f0d42d74c3469ea4aee04904b4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.20
|
Security for aibooster 0.5.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.