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Question 'Ampere'/Next-gen gaming uarch speculation thread

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Ottonomous

Senior member
How much is the Samsung 7nm EUV process expected to provide in terms of gains?
How will the RTX components be scaled/developed?
Any major architectural enhancements expected?
Will VRAM be bumped to 16/12/12 for the top three?
Will there be further fragmentation in the lineup? (Keeping turing at cheaper prices, while offering 'beefed up RTX' options at the top?)
Will the top card be capable of >4K60, at least 90?
Would Nvidia ever consider an HBM implementation in the gaming lineup?
Will Nvidia introduce new proprietary technologies again?

Sorry if imprudent/uncalled for, just interested in the forum member's thoughts.
 
DLSS is maybe 10% of it. Raytracing should be ~2x faster than Turing. So either the 350W is not the actual power consumption or the 3090 is around 2,5x faster.
 
Yeah, we will just ignore that things like text are often unreadable, or that the games visuals are being manipulated away from what the original game makers intended. Or that it offers up to 20% worse performance than regular upscaling because regular upscaling is free, DLSS is not. Most games take a 15% performance hit when compared to upscaling, some games are closer to 20%.
Texts are all readable with DLSS 2, much better than the blur of native + TAA
Performance is up 80% than native resolution while looking better or similar
The game viusals remain sharp while in motion (which is 90% of the time during gaming), much much better than the blur-fested native TAA.

So you get everything into one package, every outlet that looked at DLSS 2 found it both impressive and astonishing, and recommended it over native resolution, all except AMD fans of course. In fact AMD will be in serious trouble if they don"t offer a DLSS 2 alternative.
 
Jeez guys, is it so difficult to wait <24 hours?

Though there is one thing to address:

DLSS is maybe 10% of it. Raytracing should be ~2x faster than Turing. So either the 350W is not the actual power consumption or the 3090 is around 2,5x faster.

You have no clue how much of a portion DLSS makes up. You have no clue in general how these figures are reached. Just wait until tomorrow, and we can hopefully make real statements as to what has changed and what has improved then. If not, then wait for the actual reviews. Making up random numbers doesn't help in the slightest.
 
Texts are all readable with DLSS 2, much better than the blur of native + TAA
Performance is up 80% than native resolution while looking better or similar
The game viusals remain sharp while in motion (which is 90% of the time during gaming), much much better than the blur-fested native TAA.

So you get everything into one package, every outlet that looked at DLSS 2 found it both impressive and astonishing, and recommended it over native resolution, all except AMD fans of course. In fact AMD will be in serious trouble if they don"t offer a DLSS 2 alternative.
How can an upscaled resolution look better than a native one? If you said similar or not much worse, then that's ok with me, but better?
 
How can an upscaled resolution look better than a native one? If you said similar or not much worse, then that's ok with me, but better?

The post you quoted already says one reason; TAA. Another is the nature of how DLSS works. It's trained on super high resolution images. It doesn't surprise me that in some cases it can have detail that would normally require supersampling.

There are several videos showing this pretty clearly
 
The post you quoted already says one reason; TAA. Another is the nature of how DLSS works. It's trained on super high resolution images. It doesn't surprise me that in some cases it can have detail that would normally require supersampling.

There are several videos showing this pretty clearly
It's also trained to use the previous few frames so there is extra information in that, in particular it can heavily reduce temporal effects like shimmering.
 
How can an upscaled resolution look better than a native one? If you said similar or not much worse, then that's ok with me, but better?
Have you ever looked at a lower quality image of anything and 'fixed' it visually in your mind? Or look at re-masters of old video's that are made to look better than the original recording. Feed an algorithm enough content and it can guess what a lower quality image should have looked like. This includes improving models and textures over the original.
 
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