Nvidia introduces DLSS 2.3 and NSI, the upscaling technology for everyone

Nvidia has released the new version 2.3 of the DLSS technology and has announced several important news regarding its scaling solutions , as well as presenting a new comparison tool which allows you to more easily carry out the analysis of the image quality between different technologies, but let’s go in order.

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Games 19 Dec


Update 2.3 brings a improvement to qu anto concerns the application of technology to moving scenes , thus solving some well-known problems of ghosting typical of previous versions of the DLSS, such as in the PC version of Death Stranding. Among other novelties there is also the improvement of the details reproduced in the objects, of the temporal stability and a more precise reconstruction of the particle effects. The new version 2.3 of the DLSS is already available on 14 games, including:

  • Baldur’s Gate 3
  • Bright Memory: Infinite
  • Cyberpunk 2077
  • Crysis 2 Remastered
  • Crysis 3 Remastered
  • Deathloop
  • DOOM Eternal
  • Farming Simulator 22 (from 22 November, at the launch of the game)
  • Grand Theft Auto: The Trilogy – The Definitive Edition
    • Grand Theft Auto 3 Definitive Edition
    • Grand Theft Auto Vice City Definitive Edition
    • Grand Theft Auto San Andreas Definitive Edition
  • Jurassic World Evolution 2
  • Marvel’s Guardians of the Galax y
  • Rise of the Tomb Raider
  • Shadow of the Tomb Raider
  • Sword & Fairy 7

In addition to this Nvidia announced that DLSS support ( does not to version 2.3 specifically ) will also arrive on other titles during the month of November , including:

  • Assetto Corsa Competizione
  • AWAY: The Survival (from November)
  • Battlefield 2042
  • Elder Scrolls Online
  • Hot Wheels Unleashed
  • Myth of Empires (from 18 November)


Nvidia has also significantly updated its space upscaler NVIDIA Image Scaling (NIS), making it an open source tool that can be integrated at will by the developers in their titles (the new SDK is available on GitHub). The aim is to bring to the market a solution that can compete with FSR in terms of flexibility , from since NIS does not require the presence of dedicated hardware for machine learning calculations, as is the case with DLSS which cannot ignore the presence of Tensor Cores.

The new version of NIS, on the other hand, will be compatible with all previous Nvidia GPUs up to 9 series and will also work on competing products from AMD and Intel . The update brings to NIS a 6-tap filter with 4-way scaling and adaptive sharpening filters, which allow you to improve the performance of the titles without having to deal with too much loss of detail.

Obviously NIS does not offer the same performance as DLSS , as it performs the frame reconstruction based only on the data of the current frame (the DLSS also uses those of the previous and next frame), therefore it does not allow to reach comparable quality levels and also the performance gain is lower – as also highlighted by the official image of Nvidia – , however it is a solution that is particularly important to enhance the hardware currently used by millions of players .

We remind you that NIS is accessible from the Nvidia control panel and from GeForce Experience and can be adjusted directly from the where rlay in game, so you can see the results in real time. The resolution enhancement factor varies from 50% all ‘85% from the vertical target, so it means that a 4K title can be rendered natively between FullHD and 3264 x 1836 pixels . The minimum rendering value is fixed at 1129 x 635 pixels and allows you to bring the image in FullHD (59% of native resolution, Windows does not support a starting point of 50% for FullHD).


Finally, Nvidia also presented ICAT , a new image quality analysis and comparison tool , which facilitates this process, going side by side up to 4 different screens at the same time and also using sliders, image synchronization systems , zoom and more.

Thanks to ICAT it will then be more it is easy to compare the effects of the various upscaling technologies, thanks to a complete tool designed for this purpose. Nvidia has stated that the tool is already available, but the official page does not seem to be active yet, so it is likely that we will need to check its actual availability at a later time.

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