The main difference between CPU and GPU architecture is that a CPU is designed to handle a wide range of tasks but is limited in the concurrency of tasks that can be running. A GPU is primarily used to render high-resolution images and video concurrently.Because GPUs can perform parallel operations on multiple sets of data, they are also commonly used for non-graphical tasks such as machine learning and scientific computation. Designed with thousands of processor cores running simultaneously, GPUs enable massive parallelism where each core is focused on making efficient calculations.