MegEngine

Summary

MegEngine is a free, open-source deep learning framework for developing and deploying models, with automatic differentiation and local training. It uses a shared model for training and inference, including quantization and dynamic shapes. The project says its DTR feature can reduce GPU memory use to one-third of the original. Inference support covers x86, Arm, CUDA, and ROCm, while GPU use requires compatible device drivers. Python packages are listed for 64-bit Linux and Windows, macOS 10.14 or later, and Android 7 or later; macOS and Android package installations are CPU-only. The installation guide lists Python 3.6–3.9. For deployment, MegEngine Lite provides C/C++, Rust, and Python runtimes. Related tools include MgeConvert for model-format conversion, MegFile for S3, HTTP, and local file access, and MegFlow for streaming AI computation. The project presents tutorials for beginners and advanced developers, and lists GitHub issues, a forum, a QQ group, and email for support.

Who it is for

MegEngine suits developers working on model development and deployment who can use its listed Python packages or inference targets. Its tutorials address both beginners and advanced developers.

Compared on deep learning software

Free plan

Yesmegengine.org.cn

Training mode

localmegengine.org.cn

Deployment targets

multiplemegengine.org.cn

GPU acceleration

Yesmegengine.org.cn

Distributed training

Yesmegengine.org.cn

Supported languages

Python, C++megengine.org.cn

Model formats

MegEngine .mge/traced module, Caffe, ONNX, TFLitemegengine.org.cn

Facts

Purpose

MegEngine is a fast, scalable deep learning framework with automatic differentiation.github.com · 2 Oct 2026

Training and inference

The framework uses one model for both training and inference, including quantization and dynamic shapes.github.com · 2 Oct 2026

GPU memory

The project says enabling DTR can reduce GPU memory use to one-third of the original.github.com · 2 Oct 2026

Inference hardware

The project describes inference support across x86, Arm, CUDA and ROCm.github.com · 2 Oct 2026

Install platforms

Python packages are listed for 64-bit Linux and Windows, macOS 10.14+ and Android 7+, with macOS and Android limited to CPU-only installation.megengine.org.cn · 2 Oct 2026

Install requirements

The installation guide lists Python 3.6–3.9 and says GPU use requires compatible device drivers.megengine.org.cn · 2 Oct 2026

Deployment runtimes

MegEngine Lite offers C/C++, Rust and Python runtimes for model deployment.megengine.org.cn · 2 Oct 2026

Integrations

MegFile provides Python file interfaces for S3, HTTP and local files.megengine.org.cn · 2 Oct 2026

Model conversion

MgeConvert converts between MegEngine and third-party model formats.megengine.org.cn · 2 Oct 2026

Video processing

MegFlow is a streaming computation framework for AI applications.megengine.org.cn · 2 Oct 2026

Security guidance

MegEngine advises users to check environment, model, data and privacy risks and recommends sandboxing models from other sources.megengine.org.cn · 2 Oct 2026

Vulnerability reporting

The security page directs vulnerability reports to [email protected] and says the team replies within 24 hours of receiving a report.megengine.org.cn · 2 Oct 2026

Support

The project lists GitHub issues, a forum, QQ group and [email protected] for contact.github.com · 2 Oct 2026

Intended users

The official site presents tutorials for beginners and advanced developers and describes the framework as supporting model development through deployment.megengine.org.cn · 2 Oct 2026

Where it ranks on Everything Xiaomi

• Best Deep Learning Software in 2026#6 of 35

Sources

• github.com/MegEngine/MegEngine· checked 2 Oct 2026
• megengine.org.cn/doc/stable/zh/user-guide/install/index.· checked 2 Oct 2026
• megengine.org.cn/ecology· checked 2 Oct 2026
• megengine.org.cn/security· checked 2 Oct 2026
• megengine.org.cn/megengine· checked 2 Oct 2026