Tensor Processing Unit (TPU)

A Tensor Processing Unit (TPU) is a type of application-specific integrated circuit (ASIC) developed by Google specifically for accelerating machine learning tasks. TPUs are optimized for performing tensor computations which are fundamental to many neural network models, allowing for faster processing of data when training and deploying machine learning algorithms. They are particularly designed to work with Google's TensorFlow framework, enabling efficient handling of large matrices and high-dimensional data used in artificial intelligence. TPUs can be utilized in cloud services or within data centers, and they offer a significant increase in performance compared to traditional CPUs and GPUs for machine learning processes.