TorchServe
Flexible and production-ready model serving framework developed by PyTorch to deploy deep learning models at scale using RESTful APIs. Its purpose is to simplify the process of hosting, managing, and scaling PyTorch models with features like multi-model serving, versioning, logging, and metrics ideal for real-time inference in enterprise and cloud environments.