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Framework

DeepSpeed

DeepSpeed is an open-source AI framework from Microsoft, launched in 2020, made for developers and businesses.

A library for training and running very large models across many GPUs.

Main jobs: Model training. It is open source and free to use. You can use it on your own server, offline on your own machine and through an API.

Visit deepspeed.ai

Markdown version of https://godooo.ai/en/framework/deepspeed. Every page on this site has one: add .md to its address.

At a glance

Made by
Microsoft
Launched
2020
Open source
Yes · Apache-2.0
GitHub stars
43,158
How you run it
Self-host · Runs offline · API
Made for
Developers · Businesses
Website
deepspeed.ai

What it can do

  • Model trainingmain jobunconfirmed

    “DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.”— deepspeed.ai, 2026-09-24

unconfirmedproposed by a machine, awaiting calibration

Alternatives

Connections

Built with
PyTorch

Questions

What is DeepSpeed?

DeepSpeed is an open-source AI framework from Microsoft, launched in 2020, made for developers and businesses. A library for training and running very large models across many GPUs.

Is DeepSpeed free?

Yes. DeepSpeed is open source (Apache-2.0) and free to use.

Is DeepSpeed open source?

Yes, under the Apache-2.0 license. The source code is at https://github.com/deepspeedai/DeepSpeed.

Can DeepSpeed run locally?

Yes. DeepSpeed can run offline on your own machine. It can also be self-hosted on your own server.

What can DeepSpeed do?

Main jobs: Model training.

Who makes DeepSpeed?

DeepSpeed is made by Microsoft.

What are open-source alternatives to DeepSpeed?

Open-source ones: PyTorch, TensorFlow, Transformers, JAX, Megatron-LM, MLX, nanoGPT and ModelScope. Others: Hugging Face.

Sources