PyTorch 2.0 Ask the Engineers Q&A Series: The Future of PyTorch On-device

PyTorch Foundation
Wed, Mar 1, 11:00 AM (PST)

About this event

With the growth of this space, the variety of devices and use-cases to target have increased significantly. Previous approaches to meet the often conflicting needs have focused on creating narrow solutions that significantly increase the friction of deploying the original ML model, often by leaving the original framework in which the model was authored.

In this talk, we will a provide an update on how we are developing new capabilities in PyTorch to both significantly increase the coverage of devices and use-cases as well as further reduce the friction in the research to production workflow.



  • Shashank Prasanna

    Shashank Prasanna


    Developer Advocate