Tensor Processing Units (TPUs)

Tensor Processing Units (TPUs) are specialized computer chips designed by Google to accelerate machine learning tasks. They efficiently perform large-scale calculations needed for AI models, especially neural networks, by handling many operations simultaneously. Unlike general-purpose CPUs or GPUs, TPUs are optimized to process tensors—multidimensional data arrays—faster and more energy-efficient, making AI computations quicker and more cost-effective. This specialization helps improve the performance of applications like speech recognition, image analysis, and translation, enabling more advanced AI features in products and services.