Nvidia’s DLSS 2.0 aims to prove the technology is essential

Deep Learning Super Sampling (DLSS) is one of the marquee features for Nvidia’s RTX video cards, but it’s also one people tend to overlook or outright dismiss. The reason for that is because many people equate the technology to something like a sharpening filter that can sometimes reduce the jagged look of lower-resolution images. But DLSS uses a completely different method with much more potential for improving visual quality, and Nvidia is ready to prove that with DLSS 2.0.

Nvidia built the second-generation DLSS to address all of the concerns with the technology. It looks better, gives players much more control, and should support a lot more games. But at its core, DLSS 2.0 is still about using machine learning to intelligently upscale a game to a higher resolution. The idea is to give you a game that, for example, looks like it is running at 4K while actually rendering at 1080p or 1440p. This drastically improves performance. And, in certain games, it can even produce frames that contain more detail than native rendering.