The foundational shift in artificial intelligence from theoretical concept to practical, pervasive application is inextricably linked to the rapid evolution of specialized AI hardware. Traditional central processing units (CPUs), while versatile, proved woefully inadequate for the massive parallel computations inherent in deep learning models. This bottleneck spurred the initial adoption of general-purpose graphic processing units (GPUs), repurposed from their gaming origins to become the workhorses of early AI development
