GPUStack vs llama.cpp
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
llama.cpp
High-performance LLM inference in plain C/C++
| Feature | GPUStack | llama.cpp |
|---|---|---|
| Category | Self-Hosted AI | Local LLM Runners |
| License | Apache-2.0 | MIT |
| Language | Python | C++ |
| Setup difficulty | Medium | Hard |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | docker, kubernetes, bare-metal | binary, bare-metal, docker |
| GitHub stars | ★ 5,456 | ★ 123,039 |
| First released | 2024 | 2023 |
| 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 llama.cpp if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 123k GitHub stars
- Written in C++
Frequently asked questions
Is GPUStack or llama.cpp better?
Neither is universally better. llama.cpp 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 llama.cpp free and open-source?
Yes. GPUStack is licensed under Apache-2.0 and llama.cpp under MIT. Both can be self-hosted at no software cost.
Can I run GPUStack and llama.cpp with Docker?
GPUStack: yes. llama.cpp: yes.