SageMaker Serve

SageMaker Serve is a modular component of the SageMaker Python SDK v3, designed to simplify model deployment and inference on Amazon SageMaker. It provides a modern, unified API, primarily through the `ModelBuilder` class, to streamline the process of taking trained machine learning models and creating real-time or batch inference endpoints. This version, 1.7.1, is part of the ongoing evolution of the SageMaker Python SDK, replacing legacy interfaces like Estimator.deploy(), Model, and Predictor with more intuitive and consolidated workflows. It is actively maintained as part of the broader SageMaker SDK.