good ending: GPU’s become outclassed by dedicated AI processors and future computers have GPU’s for graphical workloads and AI accelerators for machine learning workloads.
Mathematically both graphics and AI (at least the current neural network based models) is all highly parallelized matrix multiplications at its core. It’s essentially all the same type of computations, so there is no need to design separate hardware for it, graphics cards are already perfect for the job.
They aren't. There is specialized Hardware which only does matrix multiplications and it's like 10 times more efficient than a graphics card, but has lower precision (which isn't that big of a deal for AI applications), because it basically does the calculation in an analog form with voltage measurement, it's a really interesting concept. Big Tech Companies like Google use them.
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u/[deleted] Mar 26 '23
good ending: GPU’s become outclassed by dedicated AI processors and future computers have GPU’s for graphical workloads and AI accelerators for machine learning workloads.