Nvidia DLSS in 2020: Stunning Results

We've been waiting to reexamine Nvidia's Deep Learning Super Sampling for a long time, partly because we wanted new games to come out featuring Nvidia's updated algorithm. We also wanted to ask Nvidia as many questions as we could to really dig into the current state of DLSS. Today's article is going to cover everything. We'll be looking at the latest titles to use DLSS, focusing primarily on Control and Wolfenstein: Youngblood, to see how Nvidia's DLSS 2.0 (as we're calling it) stacks up. This will include our usual suite of visual comparisons looking at DLSS compared to native image quality, resolution scaling, and various other post processing techniques. Then, of course, there will be a look at performance across all of Nvidia's RTX GPUs. We'll also be briefly reviewing the original launch games that used DLSS to see what's changed here, and there will be plenty of discussion on the RTX ecosystem, Nvidia's marketing, expectations, disappointments, and so on. Strap yourselves in because this is going to be a comprehensive look at where DLSS stands today.