SGLang vs Xinference
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
SGLang
Fast serving framework for LLMs and vision-language models
VS
Xinference
Distributed inference framework for LLMs and embeddings
| Feature | SGLang | Xinference |
|---|---|---|
| Category | Self-Hosted AI | 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 | ★ 31,514 | ★ 9,483 |
| First released | 2024 | 2023 |
| Replaces | OpenAI API | OpenAI API, Hugging Face Inference Endpoints |
Why pick each one
Choose SGLang if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 31.5k 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 SGLang or Xinference better?
Neither is universally better. SGLang 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 SGLang and Xinference free and open-source?
Yes. SGLang is licensed under Apache-2.0 and Xinference under Apache-2.0. Both can be self-hosted at no software cost.
Can I run SGLang and Xinference with Docker?
SGLang: yes. Xinference: yes.