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| accessdate=2020-04-07
}}</ref>
* The [[Neural network]] is trained by Nvidia using "ideal" images of video games of ultra-high resolution on supercomputers and low resolution images of the same games. The result is stored on the [[Video card]] driver. It is said the Nvidia uses [[DGX-1]] servers to perform the training of the network.
* The Neural Network stored on the driver compares the actual low resolution image with the reference and produce a full high resolution result. The inputs used by the trained Neural Network are the low resolution aliased images rendered by the [[game engine]], and the low resolution, motion vectors from the same images, also generated by the game engine. The motion vectors tell the network which direction objects in the scene are moving from frame to frame, in order to estimate what the next frame will look like.<ref name="nvidia20">
{{cite web
| url=https://www.nvidia.com/en-us/geforce/news/nvidia-dlss-2-0-a-big-leap-in-ai-rendering/
| title=NVIDIA DLSS 2.0: A Big Leap In AI Rendering
| publisher=[[Nvidia]]
| date=2020-03-23
| accessdate=2020-04-07
}}</ref>
==Architecture==
DLSS is only available on [[[[GeForce 20 series|GeForce RTX 20]] series GPUs, in dedicated [[AI accelerator]]s called '''Tensor Cores'''.<ref name="nvidia20"/>
==See also==
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