server deployment

A practical, copy-pasteable guide to deploying a reliable, reproducible AI inference server on Linux: plan workload, install deps and create a dedicated user, build llama.cpp for a CPU-first OpenAI-compatible API, optionally enable GPU, secure and expose via Nginx with TLS and firewall, run under systemd, and apply ops best practices for health checks, logging, metrics, and safe rollouts.