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Fidelity FX Super Resolution vs Deep Learning Super Sampling - Printable Version

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Fidelity FX Super Resolution vs Deep Learning Super Sampling - LightDestory - 06-30-2021

So, what are Fidelity FXSR and DLSS?
If you are a gamer you probably already know what they are. But for non-gamer these technologies can be still interesting.

Let's make it short:
  • Fidelity FXSR is the solution developed by AMD and it is available for ALL (AMD, Nvidia and Intel... yes Intel is making its own gpus) graphic cards that meet the minimal requirements, the range of supported hardware is very huge, older cards can benefit from it;
  • DLSS is the solution developed by Nvidia and it is available only for the newer Nvidia models, from RTX 2000 series to be clear.
These technologies allow a gamer to play with higher FPS on games. How?  At the base of these technologies there are AI that are being trained on upscaling an image with less and less defects. These AI can be supported by hardware cores, like tensorflow cores on Nvidia cards, or via software with a trained model.

When you play a game with 4K or 1440p resolution the game is actually rendered at a lower resolution and then upscaled by your gpu with the help of the AI.

According to a report, using there technologies on lower resolution, like playing at 1080p, doesn't give any advantages. So we can say that these technologies aims to make playable higher resolutions.

DLSS is currently the best of the two because Nvidia worked on it for years and it had enough time to improve it. It also got release first, it was a feature of the RTX 2000 series.

Fidelity is still under development but there are very high hope for this one, it is still in beta but there are some YT videos, like LTT's one, that let us see the current state of this technology.

What do you think about these technologies? Are they enough to convince you to buy a new card? (Fidelity will be available for older cards... but let's be real, you can except from them a real taste of feature capability)