LLMKube vs vLLM
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
vLLM
High-throughput LLM serving engine with PagedAttention
| Feature | LLMKube | vLLM |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | Apache-2.0 | Apache-2.0 |
| Language | Go | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 512 MB | 16,384 MB |
| Deployment | docker, kubernetes | docker, kubernetes, bare-metal |
| GitHub stars | ★ 186 | ★ 88,482 |
| First released | 2026 | 2023 |
| Replaces | — | 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
Choose vLLM if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 88.5k GitHub stars
Frequently asked questions
Is LLMKube or vLLM better?
Neither is universally better. vLLM 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 LLMKube and vLLM free and open-source?
Yes. LLMKube is licensed under Apache-2.0 and vLLM under Apache-2.0. Both can be self-hosted at no software cost.
Can I run LLMKube and vLLM with Docker?
LLMKube: yes. vLLM: yes.