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Step-by-step guide to take an AI model from notebook to production on Linux: scaffold a FastAPI + Uvicorn inference service, manage it with systemd, and secure/accelerate it behind Nginx, with copy‑paste commands for apt/dnf/zypper. Optional Podman/Docker containerization, caching, scaling, logging, TLS, and troubleshooting tips ensure reliability, reproducibility, and safe rollout.