Wednesday, July 1st 2020
Death Stranding with DLSS 2.0 Enables 4K-60 FPS on Any RTX 20-series GPU: Report
Ahead of its PC platform release on July 14, testing of a pre-release build by Tom's Hardware reveals that "Death Stranding" will offer 4K 60 frames per second on any NVIDIA RTX 20-series graphics card if DLSS 2.0 is enabled. NVIDIA's performance-enhancing feature renders the game at a resolution lower than that of the display head, and uses AI to reconstruct details. We've detailed DLSS 2.0 in an older article. The PC version has a frame-rate limit of 240 FPS, ultra-wide resolution support, and a photo mode (unsure if it's an Ansel implementation). It has rather relaxed recommended system requirements for 1080p 60 FPS gaming (sans DLSS).
Source:
Tom's Hardware
62 Comments on Death Stranding with DLSS 2.0 Enables 4K-60 FPS on Any RTX 20-series GPU: Report
FWIW, you can build, train and deploy neural networks on the CPU, too, not only on GPU's. I'm pretty sure it could be done on AMD GPU's, Im unsure what would be the performance hit.
In the case of Nvidia, I think the approach was inverse, they had some AI capabilities sitting on the die (due to the pro-market requirements) and they tried to find a nice way to use them for gaming. What is unclear to me is what is the cost for Nvidia for training a NN for each game. I'm guessing it's pretty big, otherwise they would've done more games by now. The advantage, however, is that there is no hit on the graphical part of the card. I have a hard time seeing how AMD could come with a better solution, or a decent solution, not involving AI.
Also, per title training was only needed for DLSS 1. Starting with DLSS 2, it seems Nvidia has trained their networks well enough per title training is no longer a requirement (though I'm pretty sure they still do it to work out kinks here and there).
That's why I'm guessing if AMD is to respond to DLSS, they shouldn't get sucked into this "who trains DNNs faster" and they should work from another angle (if there is one).
Only with Google's TensorFlow NN really came alive for the masses.
By contrast, DNNs have been almost a no show till recently.
DLSS 2.0 works as follows:[13]
as I understand it,when it's a botched job it's entirrely on nvidia,not the developer.if it's well done,it's cause nvidia took time to optimize it.
I don't think the game developer plays any part in the process,except for the actual amount of time they give nvidia to work on it,which is a big factor probably.
I think it was me who linked it to you one day actually:nutkick: