TPU (Tensor Processing Unit)
Tensor Processing Unit
A dedicated AI processor developed by Google to perform AI computations at high speed.
In Simple Terms
A TPU is a dedicated chip built to speed up the deep learning calculations that let AI learn patterns from huge amounts of data. For example, when you use voice search on your phone or your photos get sorted automatically, a TPU is working hard inside Google's cloud servers behind the scenes. Because it's built purely for AI, it can finish AI calculations far more efficiently than a general-purpose computer's brain.
Behind the Name
TPU stands for Tensor Processing Unit. It gets its name from three words: Tensor, meaning a collection of data; Processing, meaning to handle or compute; and Unit, meaning a device. The name itself tells you that this chip is built specifically to handle the special data format AI relies on.
Take a Closer Look!
A TPU is a dedicated processor that Google developed to speed up AI computation.
Compared to the CPU found in a typical computer or the GPU that excels at image processing, its defining feature is that it's built purely to handle AI calculations.
This lets AI programs that handle massive amounts of data run smoothly.
AI calculations involve processing huge numbers of multiplications and additions on complex blocks of numbers called tensors.
A TPU packs in a large number of specialized circuits designed to handle all of this at once, almost instantly.
To put it simply, imagine thousands of workers who are all great at math gathering in one room and solving calculations together at the same time.
Thanks to this, the training process that teaches AI to get smarter by feeding it huge amounts of data — which used to take days — can now be finished in just a few hours.
Behind the scenes, when we use translation apps or voice assistants on our phones every day, a TPU is running in the cloud to support that AI.