TensorFlow Distributed: A Gentle Introduction

Why limit yourself to only one GPU when you can easily distribute the training process across many?

Dimitris Poulopoulos
Towards Data Science
5 min readJan 20, 2022

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Photo by Nana Dua on Unsplash

Recent advances in Deep Learning are primarily due to the amount of data at our disposal. On the other hand, large models, like the GPT-3 with 175 billion parameters, demonstrate great results pushing the field towards…

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Machine Learning Engineer. I talk about AI, MLOps, and Python programming. More about me: www.dimpo.me