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Deploy an AI model on your own machines

LLMs, inference configs and stacks to deploy AI on your own machines, without sending your data elsewhere.

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What does deploying an AI model mean?

Deploying means running a model on your own machines or servers instead of calling an external API: your data stays with you. You pick a model (LLM, embeddings), a runtime (Ollama, vLLM, llama.cpp) and, if needed, a full docker-compose stack.