Nvidia’s journey from a graphics chip innovator to the undisputed leader in AI computing is intrinsically linked to the rise of deep learning and autonomous systems. Their Graphics Processing Units (GPUs), initially designed for rendering complex visuals in gaming, proved serendipitously perfect for the parallel processing demands of neural networks. This architectural advantage, coupled with the development of the CUDA programming model, democratized access to high-performance computing
