The recent rise of artificial intelligence (AI) can be partly attributed to improvements in graphics processing unit (GPU) processors, mostly deployed in cloud server architectures. GPUs are massively parallel processors that can map well to the large number of vector and matrix multiplication calculations that need to be performed in deep learning.
