Compare / vLLM vs LocalAI
vLLM vs LocalAI
Pick vLLM if you want throughput on a GPU you already run (the published Hugging Face Endpoints/Replicate stack). Pick LocalAI if you want a MIT OpenAI-compatible box.
Facts checked 21 Oct 2026. License, language, and GitHub activity come from the catalog or the project's own repo. "Not in the catalog row" means the public catalog dump does not store that number.
vLLM in the catalog LocalAI in the catalog Start on Railway
How they compare
| vLLM | LocalAI | |
|---|---|---|
| License | Apache License 2.0 (catalog) source | MIT License (catalog) source |
| Language | Python (catalog) | Go (catalog) |
| GitHub activity | 94,158 stars in the catalog source | 49,623 stars in the catalog source |
| Self-host | Published as /stacks/vllm-inference. GPU recommended. OpenAI-compatible HTTP. | Same stack. MIT engine on hardware you host. |
| Best for | Throughput on a GPU you already pay for. | A smaller OpenAI-shaped box. |
Self-hosting and resource needs
Both are on /stacks/vllm-inference. Ollama is the one-box daemon — /compare/ollama-vs-vllm. Hugging Face text-generation-inference is archived — not this path. A chat UI stays on /stacks/open-webui-litellm.
FAQ
- vLLM or Ollama?
- Ollama if the job is one daemon — /compare/ollama-vs-vllm. This pair is two serving engines.
- Where is the chat UI?
- /stacks/open-webui-litellm and /best/llm-chat-ui.
- Are these free?
- vLLM is Apache License 2.0. LocalAI is MIT. You pay hardware. Weights have their own licenses.
- How do I deploy vLLM?
- Open /stacks/vllm-inference. Persist weights. Point one client at the OpenAI-compatible URL.
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