LLMKube vs Ollama
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?
LLMKube
Kubernetes operator for llama.cpp-native LLM inference with GPU
VS
Ollama
Run large language models locally with a simple CLI and API
| Feature | LLMKube | Ollama |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | Apache-2.0 | MIT |
| Language | Go | Go |
| Setup difficulty | Medium | Easy |
| Min. RAM | 512 MB | 8,192 MB |
| Deployment | docker, kubernetes | docker, binary, bare-metal |
| GitHub stars | ★ 186 | ★ 178,027 |
| First released | 2026 | 2023 |
| Replaces | — | ChatGPT, OpenAI API |
Why pick each one
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 LLMKube or Ollama better?
Ollama is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider LLMKube if its specific feature set fits your needs better.
Are LLMKube and Ollama free and open-source?
Yes. LLMKube is licensed under Apache-2.0 and Ollama under MIT. Both can be self-hosted at no software cost.
Can I run LLMKube and Ollama with Docker?
LLMKube: yes. Ollama: yes.