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This article explores the fusion of Kubernetes with Machine Learning and Artificial Intelligence, highlighting its benefits for deploying, managing, and scaling ML workloads. It covers topics such as setting up a Kubernetes cluster, containerizing ML models, and best practices for leveraging Kubernetes in the realm of machine learning.