llama.cpp 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?
llama.cpp
High-performance LLM inference in plain C/C++
VS
LLMKube
Kubernetes operator for llama.cpp-native LLM inference with GPU
| Feature | llama.cpp | LLMKube |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | MIT | Apache-2.0 |
| Language | C++ | Go |
| Setup difficulty | Hard | Medium |
| Min. RAM | 8,192 MB | 512 MB |
| Deployment | binary, bare-metal, docker | docker, kubernetes |
| GitHub stars | ★ 123,039 | ★ 186 |
| First released | 2023 | 2026 |
| Replaces | OpenAI API | — |
Why pick each one
Choose llama.cpp if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 123k GitHub stars
- Written in C++
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 llama.cpp or LLMKube better?
Neither is universally better. llama.cpp has the larger community, while LLMKube is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are llama.cpp and LLMKube free and open-source?
Yes. llama.cpp is licensed under MIT and LLMKube under Apache-2.0. Both can be self-hosted at no software cost.
Can I run llama.cpp and LLMKube with Docker?
llama.cpp: yes. LLMKube: yes.