Pytorch at scale on Cloud TPUs

Опубликовано 15 сентября 2020, 16:34

Cloud TPU Pods are machine learning supercomputers that enable enterprises to train large machine learning models at a scale otherwise difficult or sometimes impossible. They deliver business value through solving many machine learning problems including image search, neural architecture search and large scale language models both for Google and Google Cloud Customer. However, until a few months ago TPU devices and pods were limited to tensorflow models. Much awaited support for pytorch was announced in Pytorch conference 2019. The list of models proven to TPUs continues to grow ever since. In this session we demystify the art and science of training your pytorch models on TPUs.

Speakers: Taylan Bilal, Vaibhav Singh

Google Cloud Next ’20: OnAir → goo.gle/next2020
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event: Google Cloud Next 2020; re_ty: Publish; product: Cloud - AI and Machine Learning - Cloud TPU; fullname: Taylan Bilal, Vaibhav Singh;