One way that researchers have begun to make high - speed computing more powerful and also more affordable is to build systems that split up workloads among fast, highly
parallel graphics processing units (GPUs) and general - purpose central processing units (CPUs).
Not exact matches
That's intended to beat out
graphics chips from Nvidia (nvda) and others that also have large - scale
parallel processing capabilities.
«The GPUs are really powerful, obviously the
graphics look pretty good, but it's the CPU (that) has to
process the AI, the number of NPCs we have on screen, all these systems running
parallel.