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.
contextetech
Private chat on your documents: Ollama, Qdrant, Open WebUI
docker-compose stack for a private chat on your documents: Ollama (model),…
contextetech
Minimal private AI chat: Ollama and Open WebUI
The simplest stack for a private AI chat: Ollama and Open WebUI with…
contextetech
Local automations: n8n and Ollama
docker-compose stack to automate with a local AI: n8n (workflows) and Ollama…
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.