exo vs LLMKube
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?
exo
Run your own AI cluster across everyday devices
VS
LLMKube
Kubernetes operator for llama.cpp-native LLM inference with GPU
| Feature | exo | LLMKube |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | GPL-3.0 | Apache-2.0 |
| Language | Python | Go |
| Setup difficulty | Medium | Medium |
| Min. RAM | 8,192 MB | 512 MB |
| Deployment | source | docker, kubernetes |
| GitHub stars | ★ 46,708 | ★ 186 |
| First released | 2024 | 2026 |
| Replaces | OpenAI API | — |
Why pick each one
Choose exo if…
- Released under the GPL-3.0 license
- Mature project with 46.7k GitHub stars
- Written in Python
Choose LLMKube if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Written in Go
Frequently asked questions
Is exo or LLMKube better?
Neither is universally better. exo has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are exo and LLMKube free and open-source?
Yes. exo is licensed under GPL-3.0 and LLMKube under Apache-2.0. Both can be self-hosted at no software cost.
Can I run exo and LLMKube with Docker?
exo: check the project docs for container support. LLMKube: yes.