March 11, 2024, 4 p.m. | TensorFlow

TensorFlow www.youtube.com

Learn how to leverage TPU embeddings to accelerate embedding lookup operation with SpareCore. SpareCore is the specially-designed hardware on Google’s latest TPU. Wei, a Developer Advocate at Google, covers how to speed up the embedding lookup operation with large embedding tables in recommendation models.

Chapters:
0:00 - Introduction
0:35 - How retrieval works in large scale recommendation systems
1:55 - SparseCore
2:47 - How to use TPU embeddings
5:18 - Resources

Resources:
TPU v4: An optically Reconfigurable Supercomputer for Machine …

building developer embedding embeddings google hardware introduction learn recommendation recommendation systems speed systems tables tensorflow tpu

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