SGLang vs vLLM
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?
SGLang
Fast serving framework for LLMs and vision-language models
VS
vLLM
High-throughput LLM serving engine with PagedAttention
| Feature | SGLang | vLLM |
|---|---|---|
| Category | Self-Hosted AI | Local LLM Runners |
| License | Apache-2.0 | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Hard | Hard |
| Min. RAM | 16,384 MB | 16,384 MB |
| Deployment | docker, kubernetes, bare-metal | docker, kubernetes, bare-metal |
| GitHub stars | ★ 31,514 | ★ 88,482 |
| First released | 2024 | 2023 |
| Replaces | OpenAI API | OpenAI API |
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 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 SGLang or vLLM better?
Neither is universally better. vLLM has the larger community; both share a hard setup difficulty, so the decision comes down to features and licensing.
Are SGLang and vLLM free and open-source?
Yes. SGLang is licensed under Apache-2.0 and vLLM under Apache-2.0. Both can be self-hosted at no software cost.
Can I run SGLang and vLLM with Docker?
SGLang: yes. vLLM: yes.