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Wei Wei, Developer Advocate at Google, shares general principles and best practices to improve It is important to make optimal use of your hardware resources (CPU and GPU) while training a deep learning model. You can use ... Ever wondered how to make your AI models faster and more efficient? Join us as we delve into Wei Wei, Developer Advocate at Google, walks through how to send REST and gRPC prediction requests to Wei Wei, Developer Advocate at Google, overviews deploying ML models into production with Wei Wei, Developer Advocate at Google, shares several advanced
Serving is the process of applying a trained model in your application. In this talk, Noah Fiedel describes Developer Advocate Paige Bailey () and TF Developer Advocate Daniel Situnayake answer your ... The trifecta of high volumes of data, abundant compute availability on cloud and on-premise, and rapid algorithmic innovations ...

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Last Updated: June 8, 2026

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TensorFlow Serving performance optimization

TensorFlow Serving performance optimization

5,702 views • Live Report

Wei Wei, Developer Advocate at Google, shares general principles and best practices to improve

Optimize Tensorflow Pipeline Performance: prefetch & cache | Deep Learning Tutorial 45 (Tensorflow)

Optimize Tensorflow Pipeline Performance: prefetch & cache | Deep Learning Tutorial 45 (Tensorflow)

44,032 views • Live Report

It is important to make optimal use of your hardware resources (CPU and GPU) while training a deep learning model. You can use ...

How to Optimize TensorFlow Serving for Real-Time Inference

How to Optimize TensorFlow Serving for Real-Time Inference

9 views • Live Report

Ever wondered how to make your AI models faster and more efficient? Join us as we delve into

TensorFlow Serving client examples

TensorFlow Serving client examples

6,888 views • Live Report

Wei Wei, Developer Advocate at Google, walks through how to send REST and gRPC prediction requests to

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