Xinference alternatives
Short answer
We track 5 self-hosted alternatives to Xinference: Ollama, llama.cpp, vLLM, LocalAI and GPUStack.
Ollama (same category): larger community (185k vs 9.6k GitHub stars).
llama.cpp (same category): larger community (132k vs 9.6k GitHub stars).
vLLM (same category): larger community (95.5k vs 9.6k GitHub stars).
Last updated · how we rank · sources
Xinference alternatives compared
| # | App | Advantages over Xinference | Est. server cost | Official hardware | License | Stars | Last commit | Compare |
|---|---|---|---|---|---|---|---|---|
| — | Xinference (this app) | Active | not estimated (no official RAM figure) | not published | Apache-2.0 | 9.6k | Oct 26, 2026 | — |
| 1 | Ollama Same category | larger community (185k vs 9.6k GitHub stars) Trade-off: Xinference has simpler deploy (one container vs a multi-container stack) | not estimated (no official RAM figure) | not published | MIT | 185k | Oct 26, 2026 | Xinference vs Ollama |
| 2 | llama.cpp Same category | larger community (132k vs 9.6k GitHub stars) Trade-off: Xinference has simpler deploy (one container vs a multi-container stack) | not estimated (no official RAM figure) | not published | MIT | 132k | Oct 25, 2026 | Xinference vs llama.cpp |
| 3 | vLLM Same category | larger community (95.5k vs 9.6k GitHub stars) Trade-off: Xinference has no GPU server needed | GPU server (not estimated) | not published | Apache-2.0 | 95.5k | Oct 26, 2026 | Xinference vs vLLM |
| 4 | LocalAI Same category | larger community (50.0k vs 9.6k GitHub stars) | not estimated (no official RAM figure) | not published | MIT | 50.0k | Oct 25, 2026 | Xinference vs LocalAI |
| 5 | GPUStack Same category | None in our data (differs in features) Trade-off: Xinference has no GPU server needed; larger community (9.6k vs 5.9k GitHub stars) | GPU server (not estimated) | not published | Apache-2.0 | 5.9k | Oct 26, 2026 | Xinference vs GPUStack |
Ranked by the number of objective advantages each alternative has over the app (cheaper estimated server cost, lighter official RAM figure, no GPU needed, fewer license conditions, better maintenance status, at least 1.5× the GitHub stars, simpler deploy). Ties: same-category apps first, then more GitHub stars. License order used: Permissive (MIT/Apache) → Open core → Copyleft (GPL) or Custom conditions → Network copyleft (AGPL) → Source-available. Archived projects are not listed as alternatives.
What each alternative is
- Ollama (Local model runtimes): The simplest way to download and run open-weight LLMs locally behind an API.
- llama.cpp (Local model runtimes): Lightweight C/C++ engine that runs quantized open models on CPU or GPU, with an OpenAI-compatible server.
- vLLM (Local model runtimes): High-throughput LLM inference server for GPUs with an OpenAI-compatible API.
- LocalAI (Local model runtimes): OpenAI-compatible API for LLMs, vision, voice and images on any hardware.
- GPUStack (Local model runtimes): GPU cluster manager that deploys vLLM, SGLang and other engines behind an OpenAI-compatible API.
Xinference alternatives: FAQ
What is the best self-hosted alternative to Xinference?
By our objective ranking: 1. Ollama (larger community (185k vs 9.6k GitHub stars)) 2. llama.cpp (larger community (132k vs 9.6k GitHub stars)) 3. vLLM (larger community (95.5k vs 9.6k GitHub stars)). "Best" depends on the features you need; the ranking only counts cost, hardware, license, maintenance, community size and deploy complexity.
Is there a cheaper alternative to Xinference?
Not by our estimate. Xinference: not estimated (no official RAM figure). Alternatives: Ollama (not estimated (no official RAM figure)), llama.cpp (not estimated (no official RAM figure)), vLLM (GPU server (not estimated)), LocalAI (not estimated (no official RAM figure)), GPUStack (GPU server (not estimated)).
Which Xinference alternative has the most permissive license?
None has fewer conditions than Xinference (Apache-2.0 (Permissive)). Alternatives: Ollama: MIT (Permissive); llama.cpp: MIT (Permissive); vLLM: Apache-2.0 (Permissive); LocalAI: MIT (Permissive); GPUStack: Apache-2.0 (Permissive). Not legal advice.
Related
Sources
- Xinference GitHub repository: github.com/xorbitsai/inference
- Xinference documentation, Xinference hardware requirements, Xinference deploy instructions: inference.readthedocs.io/en/latest/getting_started/using_docker_image.html
- Xinference license: github.com/xorbitsai/inference/blob/main/LICENSE
- Ollama GitHub repository: github.com/ollama/ollama
- llama.cpp GitHub repository: github.com/ggml-org/llama.cpp
- vLLM GitHub repository: github.com/vllm-project/vllm
- LocalAI GitHub repository: github.com/mudler/LocalAI
- GPUStack GitHub repository: github.com/gpustack/gpustack
- Hetzner Cloud pricing used for cost estimates (read 2026-10-26): www.hetzner.com/cloud/regular-performance
- GitHub stars and commits: GitHub REST API, refreshed daily