Production Inference Deployment with PyTorch

Mastering PyTorch for Production: From Tensors to Deployment at ScaleПодробнее

Keynote: PyTorch 2.1 Technical Deep Dive - Mario, Mark, Mergen, Joe, Peng, Will, YananПодробнее

Lightning Talk: The Fastest Path to Production: PyTorch Inference in Python - Mark Saroufim, MetaПодробнее

Torchserve: A Performant and Flexible tool for Deploying PyTorch Models into ProductionПодробнее

torch::deploy: Running eager PyTorch models in productionПодробнее

[59] PyTorch Tutorial: Serving PyTorch Models in Production (Nidhin Pattaniyil)Подробнее

MODEL SERVING IN PYTORCH | GEETA CHAUHANПодробнее

PyTorch Community Voices | Autodesk | Alex and BingПодробнее

Applied AI | PyTorch From Research to Production | Nvidia GTC 2020Подробнее

AWS re:Invent 2020: Deploying PyTorch models for inference using TorchServeПодробнее

Scaling Up AI Research to Production with PyTorch and MLFlowПодробнее

Named Tensors, Model Quantization, and the Latest PyTorch Features - Part 1Подробнее

code.talks 2019 - Serving machine learning models as an inference API in productionПодробнее

PyTorch at Uber - Sidney Zhang, UberПодробнее