DLSS taps the dedicated tensor cores inside the cutting-edge GPUs, using their machine learning chops to boost frames rates and increase the resolution you're able to play at-a key complement to ray tracing, as the lighting technology severely taxes performance when it's active.
DLSS 2.0 delivers a "big leap in AI rendering" and breaks free of several existing constraints. Today, Nvidia introduced a new technology called DLSS 2.0 aimed at strengthening its position in that market.
While this naturally doesn't mean that every game will offer support for DLSS 2.0, it does remove a substantial pain point of the original implementation that explains why numerous titles that claimed DLSS support was coming never delivered on that promise.
"A new AI model more efficiently uses Tensor Cores to execute 2x faster than the original, improving frame rates and removing restrictions on supported GPUs, settings and resolutions", says Matt Wuebbling, the head of marketing for Nvidia's consumer GPU line, in his blog post. It should be straightforward if a game already supports temporal anti-aliasing (TAA), Tamasi said, and if it doesn't, enabling DLSS 2.0 is similar to implementing TAA. In response to this, Nvidia added three modes for DLSS 2.0: Quality, Balanced, and Performance. The company captures a set of ultra-high-resolution stills from inside the game and then takes a second set of lower quality images. Likewise, selected Balance would render at 1440p, and Performance would render at 1080p, both of which would upscale images to 4K. It offered higher framerate but image quality suffered and many were disappointed with the much-anticipated feature.
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.
Existing games that already support DLSS need to be patched to support DLSS 2.0.
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We'll be keeping our eye out for new games claiming support for DLSS 2.0 and watching for those MechWarrior 5 and Control updates to see the difference for ourselves.
With DLSS 2.0, image quality improves materially compared to the original DLSS image processing algorithm used in Control.
Nvidia packages up the model when training is complete and delivers it to consumers' PCs via DLSS 2.0.
NVIDIA saw similar improvements when testing Deliver Us The Moon.
Using our Neural Graphics Framework, NGX, the DLSS deep neural network is trained on a NVIDIA DGX-powered supercomputer.
Here's a look at how it runs in MechWarrior 5: Mercenaries.
DLSS 1.0 did cool things, but in the real world, it was far from the revolutionary tech promised at the GeForce RTX 2080 Ti's unveiling.