Explore the evolution of NVIDIA GPU computing from PC gaming to deep learning in this Stanford University seminar. Discover how GPUs have transformed from powering gaming platforms to driving cutting-edge applications in data centers and supercomputers. Gain insights into the architectural advancements of NVIDIA GPUs, including the development of unified shaders, CUDA, and Tensor Cores. Learn about the impact of GPUs on deep neural networks, image processing, and autonomous vehicles. Understand the journey through various GPU architectures, from classic GPUs to the Volta GV100, and their applications in gaming, cloud computing, and supercomputing. Delve into the complexities of training deep neural networks and the role of GPUs in accelerating these processes. Examine the development of specialized hardware like the Drive PX2 for automotive applications, showcasing the versatility of GPU technology across multiple industries.