TorchServe: Serving PyTorch Models in Production
TorchServe is a web server for your PyTorch models, turning them into production-ready API endpoints. It's used to expose trained models over a network via REST or gRPC for inference, handling batching and multi-model serving.
TorchServe is like a dedicated web server for PyTorch models, turning them into production-ready API endpoints without a custom Flask app. It's used to deploy `.pt` files as live services, exposing REST and gRPC APIs for inference, management, and metrics. It supports dynamic batching to improve throughput and can serve multiple models at once. The critical footgun: TorchServe is in limited maintenance mode, with no planned security patches or new features, posing a risk for new production deployments.
Read the original → docs.pytorch.org
- #mlops
- #pytorch
- #model serving
- #infrastructure
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