DeepSpeed VS fairscale

Compare DeepSpeed vs fairscale and see what are their differences.

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. (by microsoft)

fairscale

PyTorch extensions for high performance and large scale training. (by facebookresearch)
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DeepSpeed fairscale
51 6
33,399 2,966
2.0% 2.2%
9.8 4.7
5 days ago 3 days ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

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.

fairscale

Posts with mentions or reviews of fairscale. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-27.

What are some alternatives?

When comparing DeepSpeed and fairscale you can also consider the following projects:

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

Megatron-DeepSpeed - Ongoing research training transformer language models at scale, including: BERT & GPT-2

Megatron-LM - Ongoing research training transformer models at scale

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

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

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

torchscale - Foundation Architecture for (M)LLMs

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

gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

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

pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

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InfluxDB - Power Real-Time Data Analytics at Scale
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www.influxdata.com
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