Llama Stack vs Petals
A side-by-side comparison of two self-hosted apps from related categories — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Llama Stack
Composable API server for building generative AI applications
VS
Petals
Run large language models collaboratively in a swarm
| Feature | Llama Stack | Petals |
|---|---|---|
| Category | Self-Hosted AI | Local LLM Runners |
| License | MIT | MIT |
| Language | Python | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 4,096 MB | 8,192 MB |
| Deployment | docker, source | source, docker |
| GitHub stars | ★ 8,421 | ★ 10,483 |
| First released | 2024 | 2022 |
| Replaces | OpenAI API | OpenAI API |
Why pick each one
Choose Llama Stack if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 8.4k GitHub stars
- Written in Python
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 Llama Stack or Petals better?
Neither is universally better. Petals has the larger community, while Llama Stack is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are Llama Stack and Petals free and open-source?
Yes. Llama Stack is licensed under MIT and Petals under MIT. Both can be self-hosted at no software cost.
Can I run Llama Stack and Petals with Docker?
Llama Stack: yes. Petals: yes.