Geek Out Time: Simulating Distributed Training on TPU & GPU in Google Colab

Introduction

Distributed training is essential for scaling deep learning models, allowing training to be spread across multiple hardware accelerators. Google Colab provides free access to both TPU v2–8 (with 8 cores) and NVIDIA T4 GPU (with a single GPU in the free tier).

In this Geek Out Time , I play with distributed training on both TPU and GPU in Google Colab to explore how they handle distributed workloads.

What is Distributed Training?

This is an excerpt — the full article continues on Medium.