Self-host LocalAI

AI Chat Interfaces

deployed & timed by usprices checked · Jul 2026

Drop-in, self-hosted OpenAI-compatible API server for running LLM, image, and voice models on consumer CPU hardware — no GPU required, with optional NVIDIA/AMD/Intel acceleration when available.

ChatGPT / yr$240

Self-hosted / yr~$55

You keep$185/yr

Key facts

CategoryAI Chat Interfaces

LicenseMIT

StackGo

Min RAM4096 MB

Dockeryes

Difficulty

Our recommendation

Pick LocalAI when you want a drop-in OpenAI-compatible API you can run without a GPU — it serves LLM, image, and voice models on ordinary CPU hardware, so existing OpenAI-SDK code points at your server with just a URL change. It's the most API-compatible backend here (4 GB). It's a runtime, not a chat app: pair it with a UI, or call it from your own code. If you only ever run text models and want the leanest setup, Ollama is simpler.

What you need

Any VPS with at least 4096 MB of RAM
A domain you control — most self-hosted setups need HTTPS in front of them
Under an hour if you've used Docker before

Install with Docker Compose

Save this as compose.yml and run docker compose up -d:

# LocalAI — official CPU-only container
docker run -p 8080:8080 --name local-ai -ti localai/localai:latest-cpu  #  →  http://SERVER_IP:8080

vps picksBest VPS for self-hostingbenchmarked quarterly · re-priced monthly

What you take on

LocalAI's OpenAI-compatibility is genuinely useful, but "runs without a GPU" comes with the usual asterisks:

non-negotiableNo GPU means slow. CPU inference works and is the selling point, but larger models will crawl — add an NVIDIA/AMD/Intel GPU when responsiveness matters, the same as every local-inference tool here.

non-negotiableIt's a backend, not a UI. LocalAI exposes an API; pair it with Open WebUI or LibreChat, or drive it from code — there's no chat window in the box.

non-negotiableCompatibility isn't identity. It mirrors the OpenAI API surface, but output quality depends on the open models you load — don't expect GPT-4-class answers from a small local model just because the API shape matches.