Megatron-LM VS DeepSpeed

Compare Megatron-LM vs DeepSpeed and see what are their differences.

Megatron-LM

Ongoing research training transformer models at scale (by NVIDIA)

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. (by microsoft)
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Megatron-LM DeepSpeed
20 51
10,481 35,310
3.6% 1.1%
9.9 9.7
1 day ago 7 days ago
Python Python
GNU General Public License v3.0 or later Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Megatron-LM

Posts with mentions or reviews of Megatron-LM. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-10-25.

DeepSpeed

Posts with mentions or reviews of DeepSpeed. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-06.

What are some alternatives?

When comparing Megatron-LM and DeepSpeed you can also consider the following projects:

ColossalAI - Making large AI models cheaper, faster and more accessible

TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

fairscale - PyTorch extensions for high performance and large scale training.

server - The Triton Inference Server provides an optimized cloud and edge inferencing solution.

DeepLearningExamples - State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

accelerate - 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

ChatGPT-Siri - Shortcuts for Siri using ChatGPT API gpt-3.5-turbo & gpt-4 model, supports continuous conversations, configure the API key & save chat records. 由 ChatGPT API gpt-3.5-turbo & gpt-4 模型驱动的智能 Siri,支持连续对话,配置API key,配置系统prompt,保存聊天记录。

fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

xla - Enabling PyTorch on XLA Devices (e.g. Google TPU)

mesh-transformer-jax - Model parallel transformers in JAX and Haiku

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