What is TensorFlow Serving?

TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. It allows you to deploy new algorithms and experiments quickly, while maintaining the same server architecture and APIs. It handles the deployment and management aspects, such as versioning and rollback, and is optimized for both CPU and GPU, supporting various model formats (TensorFlow, SavedModel, etc.). It's commonly used for serving models for tasks like image recognition, natural language processing, and recommendation systems.