Unpacking 'RTX', 'NGX', and Game Support

One of the more complicated aspects of GeForce RTX and Turing is not only the 'RTX' branding, but how all of Turing's features are collectively called the NVIDIA RTX platform. To recap, here is a quick list of the separate but similarly named groupings:

  • NVIDIA RTX Platform - general platform encompassing all Turing features, including advanced shaders
  • NVIDIA RTX Raytracing technology - name for ray tracing technology under RTX platform
  • GameWorks Raytracing - raytracing denoiser module for GameWorks SDK
  • GeForce RTX - the brand connected with games using NVIDIA RTX real time ray tracing
  • GeForce RTX - the brand for graphics cards

For NGX, it technically falls under the RTX platform, and includes Deep Learning Super Sampling (DLSS). Using a deep neural network (DNN) specific to the game and trained on super high quality 64x supersampled images, or 'ground truth' images, DLSS uses tensor cores to infer high quality antialiased results. In the standard mode, DLSS renders at a lower input sample count, typically 2x less but may depend on the game, and then infers a result, which at target resolution is similar quality to TAA result. A DLSS 2X mode exists, where the input is rendered at the final target resolution and then combined with a larger DLSS network.

Fortunately, GFE is not required for NGX features to work, and all the necessary NGX files will be available via the standard Game Ready drivers, though it's not clear how often DNNs for particular games would be updated.

In the case of RTX-OPS, it describes a workload for a frame where both RT and Tensor Cores are utilized; currently, the classic scenario would be with a game with real time ray tracing and DLSS. So by definition, it only accurately measures that type of workload. However, this metric currently does not apply to any game, as DXR has not yet released. For the time being, the metric does not describe performance any publicly available game.

In sum, then the upcoming game support aligns with the following table.

Planned NVIDIA Turing Feature Support for Games
Game Real Time Raytracing Deep Learning Supersampling (DLSS) Turing Advanced Shading
Ark: Survival Evolved   Yes  
Assetto Corsa Competizione Yes    
Atomic Heart Yes Yes  
Battlefield V Yes    
Control Yes    
Dauntless   Yes  
Darksiders III   Yes  
Deliver Us The Moon: Fortuna   Yes  
Enlisted Yes    
Fear The Wolves   Yes  
Final Fantasy XV   Yes  
Fractured Lands   Yes  
Hellblade: Senua's Sacrifice   Yes  
Hitman 2   Yes  
In Death     Yes
Islands of Nyne   Yes  
Justice Yes Yes  
JX3 Yes Yes  
KINETIK   Yes  
MechWarrior 5: Mercenaries Yes Yes  
Metro Exodus Yes    
Outpost Zero   Yes  
Overkill's The Walking Dead   Yes  
PlayerUnknown Battlegrounds   Yes  
ProjectDH Yes    
Remnant: From the Ashes   Yes  
SCUM   Yes  
Serious Sam 4: Planet Badass   Yes  
Shadow of the Tomb Raider Yes    
Stormdivers   Yes  
The Forge Arena   Yes  
We Happy Few   Yes  
Wolfenstein II     Yes
Feeding the Beast (2018): GDDR6 & Memory Compression Closing Thoughts
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  • gglaw - Saturday, September 15, 2018 - link

    Why bother to make up statements claiming the prices are completely as expected with inflation added without even having a slight clue what the inflation rate has been in recent history? Outside of the very young readers here, most of us were around for 700 series, 8800, etc. and know first hand what type of changes inflation has had in the last 10-20 years. Especially comparing to the 980 Ti, and 1080 Ti, inflation has barely moved since those releases.
  • Spunjji - Monday, September 17, 2018 - link

    This. Most people here aren't stupid.
  • notashill - Saturday, September 15, 2018 - link

    700 series wasn't even close. 780 was $650->adjusted ~$700, 780Ti was $700->adjusted ~$760. And the 780 MSRP dropped to $500 after 6 months when the Ti launched.
  • Santoval - Monday, September 17, 2018 - link

    Yes, Navi will be midrange, at around a GTX 1080 performance level, or at best a bit faster. They initially planned a dual Navi package for the high end, linked by Infinity Fabric, but they canned (or postponed) it, due to the reluctance of game developers to support dual-die consumer graphics cards (according to AMD). They might release dual Navi professional graphics cards though.
    Tensor and RT cores should not be expected either. These will have to wait for the post-Navi (and post-GCN) generation.
  • TropicMike - Friday, September 14, 2018 - link

    Good article. Lots of complicated stuff to try to explain.

    Just a quick typo on page 2: "It’s in pixel shaders that the various forms of lighting (shadows, reflection, reflection, etc) " I'm guessing you meant 'refraction' for one of those.
  • Smell This - Wednesday, July 3, 2019 - link

    Super **Duper** Turbo Hyper Championship Edition
  • Yaldabaoth - Friday, September 14, 2018 - link

    For the "eye diagram" on page 8, the texts says, "In this case we’re looking at a fairly clean eye diagram, illustrating the very tight 70ns transitions between data transfers." However, the image is labeled as "70 ps".
  • Ryan Smith - Friday, September 14, 2018 - link

    Nano. Pico. Really, it's a small difference... =P

    Thanks!
  • Bulat Ziganshin - Friday, September 14, 2018 - link

    It's not "Volta in spirit". It's Volta for the masses. The only differences
    - reduced FP64 cores
    - reduced sharedmem/cache from 128 KB to 96 KB
    - added RT cores

    Now let's check what you want to change to produce "scientific" Turing GPU. Yes, exactly these things. So, despite the name, it's the same architecture, tuned for the gaming market
  • Yojimbo - Saturday, September 15, 2018 - link

    You don't really know that. This article, as explained in the beginning, focuses only on the RT core improvements. There are other Turing features that were left out. I think we have no idea if Volta has variable rate shading, mesh shading,or multi-view rendering. I'm guessing it does not.

    Besides, what you said isn't true even limiting the discussion to what was covered in this article. The Turing Tensor cores allow for a greater range of precisions.

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