Nvidia DLSS was one of the main elements of Nvidia's Turing architecture when it was announced in August 2018, but Team Green has now improved upon it significantly. Nvidia DLSS 2.0 is already here, and more or less, since CES 2020. The new form of technology that was shown off at Deliver Us the Moon and Wolfenstein Youngblood at this huge tech fair is now available to developers. new game This new implementation, as we've already explored, seems so much better than it has in the past, to the point that no one should shy away from using this version of DLSS 2.0, even if you have the hardware to render your games at full resolution with all the details are to the maximum. You won't even have to wait to see this technology in games. We already mentioned that DLSS 2.0 is available in Wolfenstein Youngblood and Deliver us the Moon, but it's also been added to Control via its The Foundation DLC and Mechwarrior 5. And, you can bet we'll be testing this new implementation to see how it works with features in these new ones. Titles. DLSS 2.0 is easier for developers to access, and with a single network for all machine learning, we should see a lot of new-tech games, and we can't wait to see all the new DLSS-packed PC games.
How does it work?
DLSS, or Deep Learning Super Sampling, uses the power of Nvidia's Tensor cores to intelligently upscale games to a higher resolution using artificial intelligence and machine learning. This means that your graphics card will be able to output, say, 4K while feeling the pressure to render at 1440p. That means 4K gaming is much more affordable than before, because you won't need something like an Nvidia GeForce RTX 2080 Ti. Before DLSS 2.0, however, there weren't many games that could take advantage of this awesome feature. You see, Nvidia's supercomputers had to undergo specific training for each game that implemented DLSS, which means preparing each game required a lot of work and data. This is no longer the case now. Nvidia was able to condense everything into a single DLSS network, meaning Nvidia no longer needs to undergo per-game training. Instead, there is a generalized algorithm that will allow any developer to implement the technology in their games. We need to be clear: if this new DLSS implementation means it will be available in more games, that doesn't mean it will be available in all games. Developers must actively include functionality in their games, and if they choose not to for some reason, there is no way to enable it on the user side. Unlike other graphics features Nvidia has implemented over the years, you can't force it through the GeForce settings in Windows. However, we assume that the fact that it is more easily implemented means that it will appear in more games in the future. With the PS5 and Xbox Series X specs really going to push mainstream 4K gaming, mid-range GPUs like the Nvidia GeForce RTX 2060 will need all the help they can get to keep up.