Is there any GPU that stands out to guys as a giod value, or do you believe that everybody should skip them?
I’m liking the 5070 Ti with 16GB 256-bit transfer speed 896 GB/s for $750USD. The 5080 for $1000USD has 16GB 256-bit for 960 GB/s. I don’t see value for the extra $250.
The both have 2x 9th Gen NVENC encoder. The 5080 has 2x 6th Gen decoder, 5070 Ti has 1x 6th Gen decoder. I can use that for OBS recording while watching other videos.
one calculates what the pixel’s color should be. That’s the actual color that that pixel should be. The real one.
The other one doesn’t try to calculate it and makes an educated guess. That by definition is “not rendering the pixel”.
It has nothing to do with how realistic it looks. And yes, having written both software raytracers and rasterizers, I am technical about this stuff a bit more than just calling vulkan and having it do its magic. I actually dived in all the way
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more frames, with higher latency!
The complete opposite of the point of wanting higher framerate!
Not at all since they’re developing Reflex to be AI boosted.
yeah… no.
Uh, yeah…
they could use that power to actuall render the game. Not fake it.
So rasterised vector graphics are ‘real’ to you and DLSS is ‘fake’. How very technical of you…
one calculates what the pixel’s color should be. That’s the actual color that that pixel should be. The real one.
The other one doesn’t try to calculate it and makes an educated guess. That by definition is “not rendering the pixel”.
It has nothing to do with how realistic it looks. And yes, having written both software raytracers and rasterizers, I am technical about this stuff a bit more than just calling vulkan and having it do its magic. I actually dived in all the way
Both are data computations of a fictional scene… what difference does it make?!
one computes the scene, the other literally tries to guess it.
One looks like shit when fast movement is involved. That’s the difference.
One draws the scene one guesses at it.
I wish everybody paid closer attention to input latency with frame generation.