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Turn ML releases into safe, boring, repeatable shipping with AI Continuous Delivery on Linux: a shell-first blueprint to pin environments, version code/data/models with Git/DVC, gate accuracy in CI, containerize FastAPI inference with Docker/Podman, promote via Kubernetes (and Argo CD), and observe/roll back—covering setup, reproducible builds, metric-driven tests, and rollout patterns like shadow and blue/green.