OpenLLM vs Petals
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?
OpenLLM
Run any open LLM as an OpenAI-compatible API endpoint
VS
Petals
Run large language models collaboratively in a swarm
| Feature | OpenLLM | Petals |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | Apache-2.0 | MIT |
| Language | Python | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | docker, kubernetes, bare-metal | source, docker |
| GitHub stars | ★ 12,452 | ★ 10,483 |
| First released | 2023 | 2022 |
| Replaces | OpenAI API | OpenAI API |
Why pick each one
Choose OpenLLM if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 12.5k GitHub stars
Choose Petals if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 10.5k GitHub stars
- Written in Python
Frequently asked questions
Is OpenLLM or Petals better?
OpenLLM is the stronger all-round pick: it has both the larger community and the simpler medium setup. Consider Petals if its specific feature set fits your needs better.
Are OpenLLM and Petals free and open-source?
Yes. OpenLLM is licensed under Apache-2.0 and Petals under MIT. Both can be self-hosted at no software cost.
Can I run OpenLLM and Petals with Docker?
OpenLLM: yes. Petals: yes.