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Containerizing AI: Hands-On Guide to Deploying ML Models With Docker and Kubernetes

Containerization bundles ML model code and dependencies for reproducibility and portability, easing scaling and isolating environments. Kubernetes automates management for seamless deployments and scalability, guaranteeing consistent performance.


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