“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: 

Jambay Kinley is a Software Engineer in Azure AI Platform organization at Microsoft. He is a member of a team that works on various Pytorch related initiatives for the AI Frameworks team. Prior to joining Microsoft, he was involved in Machine Learning research in a Natural Language Processing lab at Cornell Tech.

Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from Youtube
Vimeo
Consent to display content from Vimeo
Google Maps
Consent to display content from Google