Tensor Processing Units (TPUs)

Tensor Processing Units (TPUs) are specialized hardware accelerators designed by Google to optimize machine learning workloads, particularly those involving deep learning models. They are tailored for high throughput and efficiency in processing large amounts of data, enabling faster training and inference of neural networks. TPUs leverage a unique architecture that allows them to perform matrix operations and tensor computations at unprecedented speeds compared to traditional CPUs and GPUs. Common use cases for TPUs include training large-scale machine learning models, running complex algorithms in real-time, and powering AI applications in cloud environments.