FastChat vs GPUStack
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?
FastChat
Platform for serving and evaluating large language models
VS
GPUStack
Manage GPU clusters for running AI models
| Feature | FastChat | GPUStack |
|---|---|---|
| Category | Local LLM Runners | Self-Hosted AI |
| License | Apache-2.0 | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Hard | Medium |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | docker, source | docker, kubernetes, bare-metal |
| GitHub stars | ★ 39,516 | ★ 5,456 |
| First released | 2023 | 2024 |
| Replaces | OpenAI API | OpenAI API |
Why pick each one
Choose FastChat if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Mature project with 39.5k GitHub stars
- Written in Python
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
Frequently asked questions
Is FastChat or GPUStack better?
Neither is universally better. FastChat 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 FastChat and GPUStack free and open-source?
Yes. FastChat is licensed under Apache-2.0 and GPUStack under Apache-2.0. Both can be self-hosted at no software cost.
Can I run FastChat and GPUStack with Docker?
FastChat: yes. GPUStack: yes.