TorchServe

TorchServe is an open-source model serving framework developed by AWS and Meta for PyTorch models. It simplifies the process of deploying, scaling, and managing trained PyTorch models in production environments.

Features of TorchServe:

• Serves PyTorch models for inference at scale.
• Supports both REST and gRPC APIs.
• Provides built-in metrics, logging, and model versioning.
• Offers multi-model serving and batch inference capabilities.
• Supports custom handlers for flexible model deployment.
• Open-source and optimized for production environments.

To install TorchServe, run these commands: $ sudo su $ cd /opt $ source torchserve-env/bin/activate $ pip show torchserve | grep Version

Disclaimer: TorchServe is an open-source project jointly developed by AWS and Meta for serving PyTorch models. It is independent of other frameworks such as TensorFlow Serving or ONNX Runtime. TorchServe is provided "as is," without warranties of any kind. Users must ensure compliance with all applicable licenses, deployment policies, and data governance regulations when using TorchServe in production.