Serving PyTorch Models in Production

Summary posted by: Sangam SwadiK


This talk is for a data scientist or ML engineer looking to serve their PyTorch models in production. It will cover post training steps that should be taken to optimize the model such as quantization and TorchScript. It will also walk the user in packaging and serving the model through Facebook’s TorchServe.



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About the Speakers


Nidhin Pattaniyil is a Machine Learning Engineer in Walmart Search.

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