vLLM vs Xinference
A side-by-side comparison of two self-hosted apps from related categories — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
vLLM
High-throughput LLM serving engine with PagedAttention
VS
Xinference
Distributed inference framework for LLMs and embeddings
| Feature | vLLM | Xinference |
|---|---|---|
| Category | Local LLM Runners | Self-Hosted AI |
| License | Apache-2.0 | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Hard | Medium |
| Min. RAM | 16,384 MB | 8,192 MB |
| Deployment | docker, kubernetes, bare-metal | docker, kubernetes, source |
| GitHub stars | ★ 88,482 | ★ 9,483 |
| First released | 2023 | 2023 |
| Replaces | OpenAI API | OpenAI API, Hugging Face Inference Endpoints |
Why pick each one
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
Choose Xinference if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 9.5k GitHub stars
Frequently asked questions
Is vLLM or Xinference better?
Neither is universally better. vLLM has the larger community, while Xinference is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are vLLM and Xinference free and open-source?
Yes. vLLM is licensed under Apache-2.0 and Xinference under Apache-2.0. Both can be self-hosted at no software cost.
Can I run vLLM and Xinference with Docker?
vLLM: yes. Xinference: yes.