Ollama 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.
Ollama
Run large language models locally with a simple CLI and API
VS
Petals
Run large language models collaboratively in a swarm
| Feature | Ollama | Petals |
|---|---|---|
| Deploy effort | ≈5-minute setup | Under-an-hour setup |
| Health score | 100 · Excellent | 24 · At risk |
| Category | Local LLM Runners | Local LLM Runners |
| License | MIT | MIT |
| Language | Go | Python |
| Setup difficulty | Easy | Hard |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | docker, binary, bare-metal | source, docker |
| GitHub stars | ★ 181,557 | ★ 10,585 |
| First released | 2023 | 2022 |
| Replaces | ChatGPT, OpenAI API | OpenAI API |
What are Ollama and Petals?
Ollama
Ollama lets you download, run, and manage open large language models such as Llama, Mistral, Gemma, and Qwen on your own machine. It provides a simple command line interface and a built-in REST API so other tools can use local models.
- One-command model downloads
- OpenAI-compatible API
- GPU and CPU support
- Modelfile customization
Petals
Petals lets you run and fine-tune large language models in a distributed, BitTorrent-style network where each participant hosts part of the model. It enables self-hosting models too large for a single machine.
- Distributed model hosting
- Run models larger than one GPU
- Collaborative inference swarm
- Fine-tuning support
Ollama vs Petals: key differences
Ollama is written in Go, while Petals is built with Python. Ollama has the considerably larger community, at 181,557 GitHub stars versus 10,585.
Why pick each one
Choose Ollama if…
- Extremely easy to set up
- Large model library
Watch out for
- Limited fine-grained inference tuning
Choose Petals if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 10.6k GitHub stars
- Written in Python
Frequently asked questions
Is Ollama or Petals better?
Ollama is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider Petals if its specific feature set fits your needs better.
Are Ollama and Petals free and open-source?
Yes. Ollama is licensed under MIT and Petals under MIT. Both can be self-hosted at no software cost.
Can I run Ollama and Petals with Docker?
Ollama: yes. Petals: yes.