Turing Discussion Thread

[SteelCrysis]

https://www.tomshardware.com/reviews/dls...870-5.html

Inner workings aside, DLSS remains one of the Turing architecture's most interesting capabilities, and for multiple reasons. First of all, the technology consistently yields excellent image quality. If you watch any of the DLSS-enabled demos in real-time, it's difficult to distinguish between native 4K with TAA and the same scene enhanced by DLSS.

Second, we're told that DLSS should only get better as time goes on. According to Nvidia, the model for DLSS is trained on a set of data that eventually reaches a point where the quality of its inferred results flattens out. So, in a sense, the DLSS model does mature. But the company’s supercomputing cluster is constantly training with new data on new games, so improvements may roll out as time goes on.

Finally, this is a technology that might be viable on entry-level Turing-based GPUs (as opposed to ray tracing, which requires a minimum level of performance to be useful), if those graphics processors end up with Tensor cores. We'd love to see low-end GPU play through AAA games at 1920 x 1080 based off of a 720p render.