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LocalAI

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Open-source, OpenAI API-compatible drop-in replacement for running LLM, image, and audio models locally, with or without a GPU.

Deploy LocalAI

Runslocalai/localai:v4.11.0
Stack go
Provisioned for itNothing, it's self-contained
VerifiedNot yet

Why deploy on Railyard

Railyard runs it standalone on a server you already pay for — no addons to provision, with zero-downtime deploys and scaling still included.

Deploying LocalAI is one piece of a bigger stack you can keep building — add a database, a worker, a cache, or another app, all on the same servers you already pay for.

Good for

  • A drop-in OpenAI-compatible API for text, image and audio models on CPU-only hardware
  • Self-hosted inference without depending on any single vendor's runtime (bundles llama.cpp, whisper.cpp, and more under one API)
  • Air-gapped or offline model serving

Good to know

  • Ships with no models preloaded — install one from a model gallery or mount your own GGUF files into the models volume after deploy
  • This is the default CPU build; GPU acceleration needs the matching -cuda/-vulkan image variant instead

Project docs ↗