Private Foundation Model Deployment — Self-Hosted AI Setup

I will deploy an open-weight foundation model in your private infrastructure — setting up Llama 3, Mistral, Qwen, or another open-weight model on your GPU servers or private cloud, with vLLM or Ollama for high-performance inference, an OpenAI-compatible API for easy integration with your existing applications, and monitoring for usage and performance. Private deployment of open-weight foundation models is appropriate for organisations with strict data sovereignty requirements, high-volume usage where API costs exceed infrastructure costs, or compliance constraints preventing data from leaving their control — it requires more infrastructure management than API-based approaches but eliminates per-token costs and data sharing entirely.

The deployment covers model download and quantisation for your GPU memory, vLLM or Ollama serving setup, OpenAI-compatible API configuration, authentication and rate limiting, monitoring setup, and integration testing with your existing applications.