4.5 Deploying PyTorch Models with TorchServe
After training a PyTorch model, the next crucial step is deploying it in a production environment where it can process new data and generate predictions. TorchServe, a collaborative effort by AWS and Facebook, offers a robust and adaptable solution for serving PyTorch models. This powerful tool enables seamless deployment of trained models as REST APIs, facilitates the management of multiple models concurrently, and provides horizontal scaling capabilities to accommodate high-traffic scenarios.
TorchServe boasts an array of features designed to meet the demands of production-level deployments: