GPU (Graphics Processing Unit)

GPUs were originally developed to process computer graphics but are now widely used for AI workloads because of their parallel processing capabilities. Unlike CPUs, which typically use fewer powerful cores for general-purpose computing, GPUs contain many smaller processing cores that can perform large numbers of mathematical operations concurrently.

Training modern neural networks involves enormous amounts of matrix and tensor computation. GPUs can perform these calculations in parallel, significantly reducing training and inference time for many AI workloads. Their computational capabilities have played a major role in the development of deep learning and large-scale generative AI.