exo vs vLLM
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
vLLM
High-throughput LLM serving engine with PagedAttention
| Feature | exo | vLLM |
|---|---|---|
| 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, kubernetes, bare-metal |
| GitHub stars | ★ 46,708 | ★ 88,482 |
| First released | 2024 | 2023 |
| Replaces | OpenAI API | OpenAI API |
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 vLLM if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 88.5k GitHub stars
Frequently asked questions
Is exo or vLLM better?
Neither is universally better. vLLM has the larger community, while exo is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are exo and vLLM free and open-source?
Yes. exo is licensed under GPL-3.0 and vLLM under Apache-2.0. Both can be self-hosted at no software cost.
Can I run exo and vLLM with Docker?
exo: check the project docs for container support. vLLM: yes.