Nvidia Introduces DLSS 2.0 for Spiffier, Speedier Games With GeForce RTX Cards

From PC Mag: Today, Nvidia announced the release of a successor to the company's anti-aliasing, sharpening, and neural-network learning tool, Deep Learning Super-Sampling (DLSS), dubbed DLSS 2.0. The update contains huge overhauls to the fundamental aspects of how DLSS functions, and it promises major leaps in performance that were previously unattainable due to the constraints of the old technology.

DLSS 2.0 features new pipelines, new learning techniques, new approaches, and a whole lot of new math. Nvidia has focused a huge amount of resources on DLSS over the past few months, and the company seems to have learned from the pain points that many users felt in the first generation.

This 2.0 version of DLSS, in theory, will finally back up the two big original promises of DLSS: (1) help a large number of PC games run at higher frame rates in the same resolutions you're used to, or (2) give you the option to increase in-game graphical quality while retaining the same frame rates without changing anything about your hardware. (This is granted you already have an Nvidia GeForce RTX card installed; employing DLSS relies on these cards' tensor cores.)

In theory, the combination of these two benefits at once could mean better graphical fidelity at higher speeds, something of a Holy Grail in the world of PC gaming. Consider what the developers of MechWarrior 5 have to say. "Nvidia DLSS 2.0 basically gives our players a free performance boost, without sacrificing image quality,” says Russ Bullock, president at Piranha Games. “It was also super easy to implement with Nvidia’s new SDK, so it was a no-brainer for us to add it to MechWarrior 5.”

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