exo vs LMDeploy
A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
exo
Run your own AI cluster across everyday devices
VS
LMDeploy
Toolkit for compressing and serving large language models
| Feature | exo | LMDeploy |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | GPL-3.0 | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 8,192 MB | 16,384 MB |
| Deployment | source | docker, source |
| GitHub stars | ★ 46,708 | ★ 7,998 |
| First released | 2024 | 2023 |
| Replaces | OpenAI API | OpenAI API, Hugging Face Inference Endpoints |
Why pick each one
Choose exo if…
- Released under the GPL-3.0 license
- Mature project with 46.7k GitHub stars
- Written in Python
Choose LMDeploy if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Mature project with 8k GitHub stars
- Written in Python
Frequently asked questions
Is exo or LMDeploy better?
exo is the stronger all-round pick: it has both the larger community and the simpler medium setup. Consider LMDeploy if its specific feature set fits your needs better.
Are exo and LMDeploy free and open-source?
Yes. exo is licensed under GPL-3.0 and LMDeploy under Apache-2.0. Both can be self-hosted at no software cost.
Can I run exo and LMDeploy with Docker?
exo: check the project docs for container support. LMDeploy: yes.