TPU (Tensor Processing Unit)

Tensor Processing Units (TPUs) are a type of application-specific integrated circuit (ASIC) to address the growing computational demands of machine learning. TPUs are engineered specifically for tensor operations, which are fundamental to deep learning algorithms.

Due to their custom architecture optimized for matrix multiplication, a key operation in neural networks, they excel in processing large volumes of data and executing complex neural networks efficiently, enabling fast training and inference times.

source: https://www.datacamp.com/blog/tpu-vs-gpu-ai#what-is-a-tpu?-tenso