The TPU miracle

Intro

I’m just kidding with the title. They are beyond words - how they work. I’ll give you a small brief.

I recommend you to read this post blog 🔗👉The chip made for the AI inference era – the Google TPU

Have you ever wondered how massive image datasets are processed so efficiently?

TPU stands for Tensor Processing Unit.

It’s a powerful hardware accelerator designed specifically for deep learning tasks.

TPUs were developed by Google to handle extremely large workloads, like processing millions of images— for example, extracting all the text you see in Google Street View.

To make TPUs even more efficient, data is usually stored in a special format called TFRecords.

TFRecords is a high-performance data format provided by TensorFlow, designed to store and load large datasets quickly.

It’s especially useful when working with TPUs, where fast data access is critical.

what does a typical TPU training workflow look like?

Here’s the usual process:

Final Thought

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