Petals vs Text Generation Inference
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?
Petals
Run large language models collaboratively in a swarm
VS
Text Generation Inference
Hugging Face toolkit for production LLM serving
| Feature | Petals | Text Generation Inference |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | MIT | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Hard | Hard |
| Min. RAM | 8,192 MB | 16,384 MB |
| Deployment | source, docker | docker, kubernetes |
| GitHub stars | ★ 10,483 | ★ 10,888 |
| First released | 2022 | 2022 |
| Replaces | OpenAI API | OpenAI API |
Why pick each one
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
Choose Text Generation Inference if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 10.9k GitHub stars
Frequently asked questions
Is Petals or Text Generation Inference better?
Neither is universally better. Text Generation Inference has the larger community; both share a hard setup difficulty, so the decision comes down to features and licensing.
Are Petals and Text Generation Inference free and open-source?
Yes. Petals is licensed under MIT and Text Generation Inference under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Petals and Text Generation Inference with Docker?
Petals: yes. Text Generation Inference: yes.