A GPU(graphics processing unit), originally designed for 3D gaming, excels at performing matrix operations—the fundamental building blocks of neural networks. Training a model on a GPU enables parallel computation, significantly accelerating processing speeds compared to the sequential operations of a CPU (for the operations they are optimized to handle).
