GPUStack vs SGLang
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?
GPUStack
Manage GPU clusters for running AI models
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SGLang
Fast serving framework for LLMs and vision-language models
| Feature | GPUStack | SGLang |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | Apache-2.0 | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 8,192 MB | 16,384 MB |
| Deployment | docker, kubernetes, bare-metal | docker, kubernetes, bare-metal |
| GitHub stars | ★ 5,456 | ★ 31,514 |
| First released | 2024 | 2024 |
| Replaces | OpenAI API | OpenAI API |
Why pick each one
Choose GPUStack if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 5.5k GitHub stars
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
Frequently asked questions
Is GPUStack or SGLang better?
Neither is universally better. SGLang has the larger community, while GPUStack is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are GPUStack and SGLang free and open-source?
Yes. GPUStack is licensed under Apache-2.0 and SGLang under Apache-2.0. Both can be self-hosted at no software cost.
Can I run GPUStack and SGLang with Docker?
GPUStack: yes. SGLang: yes.