SHSelfHostIndex

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?
OP OpenLLM Run any open LLM as an OpenAI-compatible API endpoint VS PE Petals Run large language models collaboratively in a swarm
FeatureOpenLLMPetals
Deploy effortUnder-an-hour setupUnder-an-hour setup
Health score81 · Excellent24 · At risk
CategoryLocal LLM RunnersLocal LLM Runners
LicenseApache-2.0MIT
LanguagePythonPython
Setup difficultyMediumHard
Min. RAM8,192 MB8,192 MB
Deploymentdocker, kubernetes, bare-metalsource, docker
GitHub stars★ 12,547★ 10,585
First released20232022
ReplacesOpenAI APIOpenAI API

What are OpenLLM and Petals?

OpenLLM

OpenLLM lets developers run open-source large language models as OpenAI-compatible API endpoints with a single command. It is built on BentoML and supports streaming, quantization, and easy deployment.

  • One-command model serving
  • OpenAI-compatible API
  • Built-in chat UI
  • Cloud deployment via BentoML

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

OpenLLM vs Petals: key differences

Both projects are written in Python. Licensing differs — Apache-2.0 for OpenLLM versus MIT for Petals.

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
OpenLLM details

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
Petals details

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.

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