GPU Architecture is designed to handle parallel processing tasks, making it exceptionally well-suited for graphics rendering and computational workloads like machine learning. It achieves high throughput by utilizing a large number of smaller, efficient cores that can execute many threads simultaneously, contrasting with the fewer, more complex cores found in CPUs.