Go look up development of CUDA, I forget if it was a video or article, but it's funny how the leylines lined up for Nvidia, they just won bigly on a bet back in the early 2000s. Here, start with this. >The individual you're referring to is likely Alex Krizhevsky, a Canadian computer scientist who, in 2012, revolutionized the field of computer vision by using GPUs to train a deep learning model that outperformed traditional methods in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). > >Krizhevsky, along with Ilya Sutskever and their advisor Geoffrey Hinton at the University of Toronto, developed AlexNet, a deep convolutional neural network (CNN) that achieved a significant breakthrough in image classification. Instead of relying on handcrafted features, AlexNet utilized a GPU-accelerated approach, training on two NVIDIA GTX 580 graphics cards. This method dramatically reduced training time and enabled the model to learn complex patterns directly from raw pixel data. > >The success of AlexNet not only won the 2012 ILSVRC by a substantial margin but also demonstrated the power of GPUs in deep learning, leading to widespread adoption of GPU-based training in AI research. This shift played a pivotal role in the subsequent explosion of interest and advancements in artificial intelligence.