Kubernetes provides a framework for automating the deployment and management of containerized applications. It efficiently handles dynamic workloads with auto-scaling, load balancing, and service discovery, benefiting machine learning applications.
Utilizing Kubernetes features like horizontal pod autoscaling, TensorFlow can be deployed at scale, adjusting the number of serving instances based on incoming traffic for optimal performance.
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