GPUStack 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?
GPUStack
Manage GPU clusters for running AI models
VS
Xinference
Distributed inference framework for LLMs and embeddings
| Feature | GPUStack | Xinference |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | Apache-2.0 | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | docker, kubernetes, bare-metal | docker, kubernetes, source |
| GitHub stars | ★ 5,456 | ★ 9,483 |
| First released | 2024 | 2023 |
| Replaces | OpenAI API | OpenAI API, Hugging Face Inference Endpoints |
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 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 GPUStack or Xinference better?
Neither is universally better. Xinference has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are GPUStack and Xinference free and open-source?
Yes. GPUStack is licensed under Apache-2.0 and Xinference under Apache-2.0. Both can be self-hosted at no software cost.
Can I run GPUStack and Xinference with Docker?
GPUStack: yes. Xinference: yes.