exo vs ik_llama.cpp
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
ik_llama.cpp
Performance-focused fork of llama.cpp with new quant types
| Feature | exo | ik_llama.cpp |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | GPL-3.0 | MIT |
| Language | Python | C++ |
| Setup difficulty | Medium | Hard |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | source | source, binary |
| GitHub stars | ★ 46,708 | ★ 3,014 |
| First released | 2024 | 2024 |
| Replaces | OpenAI API | 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 ik_llama.cpp if…
- Released under the MIT license
- Active community (3k GitHub stars)
- Written in C++
Frequently asked questions
Is exo or ik_llama.cpp better?
exo is the stronger all-round pick: it has both the larger community and the simpler medium setup. Consider ik_llama.cpp if its specific feature set fits your needs better.
Are exo and ik_llama.cpp free and open-source?
Yes. exo is licensed under GPL-3.0 and ik_llama.cpp under MIT. Both can be self-hosted at no software cost.
Can I run exo and ik_llama.cpp with Docker?
exo: check the project docs for container support. ik_llama.cpp: check the project docs for container support.