Description
In this session we will cover various ways teams at google are working to help the Pytorch community achieve performance and scale from cloud to edge. We will cover how Google Cloud customers can use PyTorch and OpenXLA to get competitive performance for their ML workloads. We’ll also cover how Google AI Edge Torch works with Pytorch to help developers integrate LLMs, vision models and more to easily create new edge applications that can run on a wide set of devices.