head to head · open source
LocalAI vs gpustack
LocalAI has 50,187 GitHub stars, 4,574 forks, 201 open issues and last shipped yesterday. gpustack has 5,960 stars, 715 forks, 696 open issues and last shipped 2 days ago. LocalAI leads on adoption by 742% (50,187 vs 5,960 stars). LocalAI is written in Go under MIT; gpustack is written in Python under Apache-2.0. LocalAI has attracted 9% as many forks as stars, gpustack 12%. LocalAI was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (llama, llm), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| LocalAI | gpustack | |
|---|---|---|
| GitHub stars | ★ 50K | ★ 6.0K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 4.6K | ⑂ 715 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LocalAI if
- You weight community size — 50K stars and counting
- You want the MIT license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick gpustack if
- You want the gpustack feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and gpustack fits your workflow better
About LocalAI
Deutsch Español français 日本語 한국어 Português Русский 中文 LocalAI is the open source AI engine. Run any model LLMs, vision, voice, image, video on any hardware. No GPU required. A small core, not a bundle. Each backend wraps a best in class engine (llama.cpp, vLLM, whisper.cpp, stable diffusion, MLX...) in its own image, pulled only when a model needs it. You install nothing you don't use. Composable by design : backends are separate and pulled on demand, so you install only what your model needs Open and extensible : load any model, or build your own backend in any language against an open interface Drop in API…
read the full LocalAI overview →
About gpustack
English 简体中文 日本語 Overview GPUStack is an open source GPU cluster manager for AI model serving and GPU instance provisioning. It configures and orchestrates inference engines — vLLM, SGLang, TensorRT LLM, or your own — and lets you launch SSH accessible GPU instances on demand. Its core features include: Multi Cluster GPU Management. Manages GPU clusters across multiple environments. This includes on premises servers, Kubernetes clusters, and cloud providers. Pluggable Inference Engines. Automatically configures high performance inference engines such as vLLM, SGLang, and TensorRT LLM. You can also add custom…
read the full gpustack overview →
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Frequently asked questions
Is LocalAI or gpustack more popular?
LocalAI has 50,187 GitHub stars and gpustack has 5,960. LocalAI has the larger community by that measure.
Are LocalAI and gpustack free?
Both are open source. LocalAI is licensed under MIT and gpustack under Apache-2.0. Neither carries a licence fee.
What is the difference between LocalAI and gpustack?
LocalAI is written in Go and gpustack in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, LocalAI or gpustack?
Choose LocalAI if you want the larger community (50,187 stars) or its MIT licence terms. Choose gpustack if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.