“Azure Container for PyTorch”: An Optimized Container for Large Scale Distributed Training Workloads

Abstract: 

PyTorch is a popular open source machine learning framework. AzureML has launched a new container for simplifying and accelerating deep learning jobs with PyTorch. This container brings together PyTorch and Microsoft technologies for accelerating large scale distributed training and is used by many teams at Microsoft to develop the models used in Office, Bing, Dynamics, etc. In this talk, we discuss the contents of the PyTorch on Azure container and share the results seen by early adopters. In addition, we will show demos of how you can get started with the container and how to use the Microsoft acceleration technologies it comes with.

Bio: 

Parinita Rahi is a Principal PM lead in Azure AI Platform organization at Microsoft. She works on various AI frameworks (PyTorch, ORT Training and ONNX Converters), in addition to driving GitHub CoPilot quality initiatives. She has 10+ years of Product Management experience, previously in the Online Advertising domain. She has driven various ML based solutions and products with a strong focus on solving customer problems.

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