NVIDIA morphs from graphics and gaming to AI and deep learning 7wData

Maybe you've heard of the x86 central processing unit (CPU) architecture that powers most PCs and servers today. But once upon a time in PC land, Intel made a bundle of cash selling x87 math co-processor chips to accompany the x86 products. These chips excelled at, and accelerated, floating point math operations and helped make PCs much faster at performing certain tasks that were hot and relevant back then, like recalculating spreadsheets. But Artificial Intelligence (AI) has, in a way, brought math co-processors back in vogue, by utilizing graphics processing units (GPUs) in a similar supporting role. As it turns out, the kind of mathematical capabilities required to render high-resolution, high frame-rate graphics are also directly applicable to AI.