GPUStack vs openedai-speech
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
| Feature | GPUStack | openedai-speech |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 90 · Excellent | 13 · At risk |
| Status | Actively maintained | Archived |
| Category | Self-Hosted AI | Self-Hosted AI |
| License | Apache-2.0 | AGPL-3.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Easy |
| Min. RAM | 8,192 MB | 2,048 MB |
| Deployment | docker, kubernetes, bare-metal | docker |
| GitHub stars | ★ 5,754 | ★ 857 |
| First released | 2024 | 2024 |
| Replaces | OpenAI API | OpenAI API, ElevenLabs |
What are GPUStack and openedai-speech?
GPUStack
GPUStack is an open-source platform for running and scaling AI models across heterogeneous GPU clusters. It supports LLMs, embeddings, image, and audio models with an OpenAI-compatible API and a management dashboard.
- Distributed GPU scheduling
- OpenAI-compatible API
- Many model types
- Cluster dashboard
openedai-speech
openedai-speech is a self-hosted text-to-speech server that mimics the OpenAI audio speech API. It uses local models such as Piper and Coqui XTTS to generate audio without sending data to the cloud.
- OpenAI speech API compatible
- Piper and XTTS backends
- Custom voice mapping
- Drop-in replacement
GPUStack vs openedai-speech: key differences
The biggest difference is maintenance: openedai-speech's repository is archived and no longer developed, while GPUStack is actively maintained. Both projects are written in Python. Licensing differs — Apache-2.0 for GPUStack versus AGPL-3.0 for openedai-speech. Openedai-speech is the lighter option, starting around 2,048 MB of RAM against 8,192 MB for GPUStack. GPUStack has the considerably larger community, at 5,754 GitHub stars versus 857.
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 5.8k GitHub stars
Choose openedai-speech if…
- Released under the AGPL-3.0 license
- Easy to set up — beginner-friendly
- First-class Docker support for quick deployment
- Written in Python
Frequently asked questions
Is GPUStack or openedai-speech better?
Neither is universally better. GPUStack has the larger community, while openedai-speech is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are GPUStack and openedai-speech free and open-source?
Yes. GPUStack is licensed under Apache-2.0 and openedai-speech under AGPL-3.0. Both can be self-hosted at no software cost.
Can I run GPUStack and openedai-speech with Docker?
GPUStack: yes. openedai-speech: yes.
Which is lighter on resources, GPUStack or openedai-speech?
openedai-speech has the smaller minimum footprint at 2,048 MB of RAM, compared to about 8,192 MB for GPUStack. Real-world usage depends on library size, user count, and enabled features.