While RT Cores might sit one the sidelines for a majority of games (at least for now), Tensor Cores play a much bigger factor into the performance of Nvidias new Turing graphics cards.In fact, they look to do as many calculations as the traditional floating point and integer pipelines traditionally found in GPU architectures.If there's anything AI is good for, it's deep learning, which in turn is spectacular at working with images and specifically anti-aliasing, which is all but necessary in today's world of high-resolution gaming.
Anti-aliasing is essential because it removes the jagged edges and staircase effect caused by square pixels.Going more into the technical side of things, anti-aliasing involves identifying two similar pixels and determining whether to combine them for a more uniform image.
Typically, GPUs to this point would handle the process by copying the same values in sequence, however Tensor Cores can take a complete array of values and compute them all at once.Nvidia claims that with this method, Turing is eight times faster at processing anti-aliasing than Pascal.