A chip Google designed specifically to speed up the math of training and running neural networks.
Tensor Processing Units (TPUs) are Google's own chips for deep learning. Their circuits are given over almost entirely to matrix multiplication, the arithmetic at the heart of neural networks, which lets large foundation models train faster and on less energy than on general-purpose processors.
See also Deep Learning, Data Mobilization, Data Lakehouse and Vector Database.