Recommended configurations

LocalAI is a drop-in replacement for the OpenAI API. Text generation, image generation, audio transcription, and embeddings — all via the same API calls your application already makes. Change one URL and stop paying per token.

API server — CPU

7B models, text + embeddings Cost-effective for low-throughput use
from €9.99/mo
VPS
CPU
4 cores
RAM
16 GB RAM
Storage
80 GB NVMe
Network
1 Gbps unlimited
Instant

Functional for development and low-volume production

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Multi-modal — text + image + audio

All modalities simultaneously Maximum capability setup
from €599.00/mo
Dedicated server
A100 (80 GB VRAM)
CPU
8 cores
RAM
64 GB RAM
Storage
200 GB NVMe
Network
1 Gbps unlimited
24–72h

For multi-modal AI applications at scale

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Looking for a specific GPU configuration?

Browse all GPU dedicated server plans →

Why LocalAI needs the right server

True OpenAI drop-in replacement

LocalAI implements the OpenAI REST API spec exactly. Change the base URL in your application or SDK configuration and everything works immediately — no code refactoring.

Text, images, audio, embeddings

LocalAI supports all major OpenAI API endpoints: chat completions, image generation (Stable Diffusion), audio transcription (Whisper), and embeddings. One server handles everything your application needs.

Run multiple models simultaneously

LocalAI can load multiple models at once — a text generation model, an embedding model, and an image generation model running in parallel on the same server.

Stop paying per token

OpenAI charges per 1M tokens — costs accumulate with usage. Self-hosting LocalAI means a fixed monthly cost regardless of how many API calls you make. Heavy users break even in the first month.

Frequently asked questions

Is LocalAI really a drop-in replacement for OpenAI?

Yes. LocalAI implements the OpenAI REST API spec. Change the base_url parameter in your OpenAI SDK configuration to your server address and your application works immediately. No code changes required.

Which OpenAI features does LocalAI support?

LocalAI supports: chat completions (/v1/chat/completions), text completions (/v1/completions), image generation (/v1/images/generations), audio transcription (/v1/audio/transcriptions), and embeddings (/v1/embeddings). Most common OpenAI features are covered.

Can LocalAI run without a GPU?

Yes. LocalAI supports CPU inference. Text generation with 7B models and embedding generation work well on CPU with 16 GB RAM. Image generation on CPU is very slow. For production use, a GPU with 8+ GB VRAM is strongly recommended.

How does LocalAI compare to Ollama?

Ollama focuses on ease of use for text generation. LocalAI covers more modalities — text, images, audio, and embeddings from a single API server. Ollama is simpler to set up; LocalAI is more comprehensive as an OpenAI replacement.

Can I run multiple models simultaneously with LocalAI?

Yes. LocalAI can serve multiple models concurrently — limited by available VRAM and RAM. A server with an RTX 4090 can run a 7B text model, an embedding model, and a Stable Diffusion model simultaneously.

LocalAI is a self-hosted OpenAI API server that implements the same REST API spec as OpenAI. Change the base URL in your application from api.openai.com to your server, and your existing code runs against local models without any modifications. LocalAI supports text generation (chat completions), image generation via Stable Diffusion, audio transcription via Whisper, and vector embeddings — covering the full range of OpenAI API capabilities. For development and low-throughput use, a VPS with 16 GB RAM runs 7B models on CPU. For production workloads, a dedicated GPU server delivers response times comparable to the OpenAI API at a fixed monthly cost.

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