TorchServe is an open-source model serving framework developed by PyTorch, designed to simplify the deployment of machine learning models in production environments. It allows users to serve PyTorch models as APIs, enabling easy integration into applications. With TorchServe, developers can manage model versions, monitor performance, and handle requests efficiently. The framework supports various functionalities, including default handlers for common tasks, custom handlers for specialized needs, and built-in metrics for monitoring. By streamlining the process of serving models, TorchServe enhances the scalability and maintainability of machine learning applications.