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.
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.