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September 18-19, 2024
San Francisco, California
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Note: The schedule is subject to change.

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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

Thursday September 19, 2024 3:15pm - 3:40pm PDT
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.
Speakers
avatar for Mark Sherwood

Mark Sherwood

Senior Product Manager, Google AI Edge, Google
Mark is a Senior Product Manager on the Google AI Edge team, responsible for LiteRT (formerly known as TensorFlow Lite) and MediaPipe. He specializes in shipping ML powered features on Android, iOS, and Web using the very smallest to the very largest on-device models.
avatar for Shauheen Zahirazami

Shauheen Zahirazami

Senior Staff Engineering Manager, Cloud Machine Learning Compute Services, Google
Shauheen has a PhD in control engineering with a BSc in applied mathematics. He is currently leading Cloud TPU Machine Learning teams at Google who are responsible for ML Frameworks and 3P ecosystem including the PyTorch teams that develop PyTorch/XLA.
Thursday September 19, 2024 3:15pm - 3:40pm PDT
Gateway Pavilion - Cowell Theater
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