GPUStack vs LocalAI
Short answer
GPUStack: GPU cluster manager that deploys vLLM, SGLang and other engines behind an OpenAI-compatible API. LocalAI: OpenAI-compatible API for LLMs, vision, voice and images on any hardware. Both are in our Local model runtimes category.
Choose LocalAI if you want: no GPU server needed and larger community (50.0k vs 5.9k GitHub stars).
LocalAI publishes no official RAM figure, so we cannot compare hosting cost directly.
Last updated · computed from each project's official docs and live GitHub data · sources
GPUStack vs LocalAI side by side
| GPUStack | LocalAI | |
|---|---|---|
| Category | Local model runtimes | Local model runtimes |
| What it is | GPU cluster manager that deploys vLLM, SGLang and other engines behind an OpenAI-compatible API. | OpenAI-compatible API for LLMs, vision, voice and images on any hardware. |
| License | Apache-2.0 | MIT |
| License type | Permissive | Permissive |
| License conditions | Permissive. Internal and commercial use allowed; keep the Apache-2.0 license and notices. GPUStack Enterprise is a separate commercial edition. Models keep their own licenses. | Permissive. Internal and commercial use allowed. Models keep their own licenses. |
| Status | Active | Active |
| GitHub stars | 5.9k | 50.0k |
| Last commit | Oct 26, 2026 | Oct 25, 2026 |
| Latest release | v2.3.0 | v4.12.1 |
| Minimum hardware | Not published | Not published |
| Recommended hardware | Not published | Not published |
| RAM measured by us | Not tested yet | Not tested yet |
| GPU | Required on worker nodes (Linux only): for NVIDIA, a driver supporting CUDA 12.8 or higher plus the NVIDIA Container Toolkit; for AMD, ROCm 7.0 or higher. The GPUStack server itself does not need a GPU. | Optional. Images exist for NVIDIA CUDA 12/13, AMD ROCm, Intel oneAPI and CPU-only. |
| Est. server cost | GPU server (not estimated) | Not estimated |
| Deploy method | Docker | Docker |
| Known gotchas | 4 listed | 1 listed |
| Telemetry | Not documented | Not documented |
| Calls home by default | Yes, by default | Not documented |
| SSO (OIDC / SAML / LDAP) | Free (OIDC free · SAML free) | Free (OIDC free) |
| Audit log | Not documented | Not documented |
| RBAC | Basic free, more in paid plan | Yes, free |
| Details | Full GPUStack guide → | Full LocalAI guide → |
Key differences
- License: GPUStack: Apache-2.0 (Permissive). LocalAI: MIT (Permissive).
- GPU: GPUStack: needed for practical use. LocalAI: optional / see notes.
- Est. server cost: GPUStack: GPU server (not estimated). LocalAI: not estimated (no official RAM figure).
- GitHub stars: GPUStack: 5.9k. LocalAI: 50.0k.
- Last commit: GPUStack: Oct 26, 2026. LocalAI: Oct 25, 2026.
- Latest release: GPUStack: v2.3.0 (Oct 23, 2026). LocalAI: v4.12.1 (Oct 23, 2026).
Same for both: Category: Local model runtimes; Official hardware: not published; Deploy: Docker · single container; Status: Active.
GPUStack vs LocalAI: FAQ
GPUStack or LocalAI: which should a small business choose?
Choose LocalAI if you want: no GPU server needed and larger community (50.0k vs 5.9k GitHub stars). LocalAI publishes no official RAM figure, so we cannot compare hosting cost directly.
Which is cheaper to self-host, GPUStack or LocalAI?
GPUStack: GPU server (not estimated). LocalAI: not estimated (no official RAM figure). Our estimate is the cheapest Hetzner Cloud plan that meets each project's official RAM and vCPU figure; it covers the server only.
How much hardware do GPUStack and LocalAI need?
GPUStack: not published. LocalAI: not published. GPUStack needs a GPU for practical use.
What is the license difference between GPUStack and LocalAI?
GPUStack: Apache-2.0 (Permissive). Permissive. Internal and commercial use allowed; keep the Apache-2.0 license and notices. GPUStack Enterprise is a separate commercial edition. Models keep their own licenses. LocalAI: MIT (Permissive). Permissive. Internal and commercial use allowed. Models keep their own licenses. This is a summary, not legal advice.
Is GPUStack or LocalAI more actively maintained?
GPUStack: Active, last commit Oct 26, 2026. LocalAI: Active, last commit Oct 25, 2026. GitHub data refreshed Oct 26, 2026.
Which is easier to deploy, GPUStack or LocalAI?
GPUStack installs via Docker (single container); LocalAI via Docker (single container). GPUStack lists 4 known gotchas and LocalAI lists 1; see each app page.
Related
- GPUStack self-hosting guide · LocalAI self-hosting guide
- All GPUStack alternatives, ranked
- All LocalAI alternatives, ranked
- GPUStack vs llama.cpp
- GPUStack vs Ollama
- GPUStack vs vLLM
- GPUStack vs Xinference
- Jan vs LocalAI
- llama.cpp vs LocalAI
- LocalAI vs Ollama
- LocalAI vs vLLM
- LocalAI vs Xinference
- Add a third app in the interactive comparison
Sources
- GPUStack GitHub repository: github.com/gpustack/gpustack
- GPUStack documentation, GPUStack hardware requirements: docs.gpustack.ai/latest/installation/requirements/
- GPUStack license: github.com/gpustack/gpustack/blob/main/LICENSE
- GPUStack deploy instructions: github.com/gpustack/gpustack#readme
- LocalAI GitHub repository: github.com/mudler/LocalAI
- LocalAI documentation, LocalAI hardware requirements, LocalAI deploy instructions: github.com/mudler/LocalAI#readme
- LocalAI license: github.com/mudler/LocalAI/blob/master/LICENSE
- Hetzner Cloud pricing used for cost estimates (read 2026-10-26): www.hetzner.com/cloud/regular-performance
- GitHub REST API (stars, commits, releases): docs.github.com/en/rest
Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.