 In 2009, Nvidia was involved in what was called the “big bang” of deep learning, “as deep-learning neural networks were trained with Nvidia graphics processing units (GPUs).” That year, Google Brain used Nvidia GPUs to create capable DNNs.While there, Andrew Ng determined that GPUs could increase the speed of deep-learning systems by about 100 times.In particular, GPUs are well-suited for the matrix/vector computations involved in machine learning.