Nvidia ‘DLSS 2.0’ Offers High-Resolution Gaming Without High End Graphic Cards

Nvidia announces DLSS 2.0 with improved rendering quality

From in-game physics to animation simulation to AI-assisted broadcasting, artificial intelligence is revolutionizing gaming. NVIDIA set out to redefine real-time rendering through AI-based super resolution - rendering fewer pixels and then using AI to construct sharp, higher resolution images.

Now, before DLSS 2.0, Nvidia had to train the AI for every game that implemented DLSS, which used to take a lot of time.

Just as importantly, NVIDIA claims "DLSS 2.0 delivers image quality on par with native resolution gameplay" by leveraging the game's built-in temporal anti-aliasing technique.

Nvidia has released some impressive benchmarks to back up its news with games like Wolfenstein Youngblood seeing frame rate improvements of about 30 frames per second across the board. Needless to say, DLSS is now a hit or miss feature and game developers remain quite reluctant towards implementing this feature since it has daunting requirements involving the creation of separate neural network models for each game at all supported resolutions.

The most important part of DLSS 2.0 is its non-game-specific training model. These control the game's internal rendering resolution and in Performance mode, for example, the scaling factor is 4X which would render a game at 1080p and AI scale it to 2160p for your 4K UHD monitor. This means more user choice, and even bigger performance boosts.

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DLSS 2.0 will first come to select titles like Wolfenstein: Youngblood and Control.

Behind the scenes, DLSS 1.0 could only be trained on a per-game basis-meaning Nvidia needed to devote its supercomputer's prowess to each game that integrated the technology. One is a sequence of aliased lower-resolution frames, with the other being a synchronous sequence of motion vectors. We can apply these vectors to the previous high resolution output to estimate what the next frame will look like. How often do you use DLSS in its current form?

With the image-quality improvements and customization, there now ought to be a setting that works for all gamers. Yeah, this is insane and a game-changer for the RTX line. With Turing's Tensor Cores delivering up to 110 teraflops of dedicated AI horsepower, the DLSS network can be run in real-time simultaneously with an intensive 3D game. Tensor Cores are specialized circuits brought over from the company's data center GPUs that are optimized for running machine learning models. This in result, eases off some pressure on the graphics card and helps in providing better frame rates in the games.

Control originally launched with a prior version of DLSS that used an image processing algorithm to boost frame rates by over 70%. Now that Nvidia technically postponed the reveal of their next gen GPUs, the green team is looking to provide alternative ways to keep the fans happy and one solution is the introduction of DLSS 2.0.

"With Control, we set out to create a visually stunning and immersive world", said Mika Vehkala, Director of Technology at Remedy Entertainment.

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