GPUStack vs Ollama
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?
GPUStack
Manage GPU clusters for running AI models
VS
Ollama
Run large language models locally with a simple CLI and API
| Feature | GPUStack | Ollama |
|---|---|---|
| Category | Self-Hosted AI | Local LLM Runners |
| License | Apache-2.0 | MIT |
| Language | Python | Go |
| Setup difficulty | Medium | Easy |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | docker, kubernetes, bare-metal | docker, binary, bare-metal |
| GitHub stars | ★ 5,456 | ★ 178,027 |
| First released | 2024 | 2023 |
| Replaces | OpenAI API | ChatGPT, 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
Frequently asked questions
Is GPUStack or Ollama better?
Ollama is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider GPUStack if its specific feature set fits your needs better.
Are GPUStack and Ollama free and open-source?
Yes. GPUStack is licensed under Apache-2.0 and Ollama under MIT. Both can be self-hosted at no software cost.
Can I run GPUStack and Ollama with Docker?
GPUStack: yes. Ollama: yes.