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I think we should agree to disagree and leave it that.
Now this is important and might be of interest for some, as pointed out by some publications, RTX 5000 series is slower than 4000 series in some games, as usual, reviewers are brainwashed by Nvidia marketing and can't comprehend how the "new" arhitecture, version...higher number bullshit is slower.
The details are RIGHT IN THE SPECIFICATIONS:
So the expectations for 5070 ti to beat or equal even the 4080 are not realistic unless the game heavily uses tensor cores for some future neural denoising and texture compression, DLSS transformer might be to light of work for tensor cores.
One thing is clear, Nvidia architecture is not strong in raster and if they care to compete in gaming space they need to find a way to put tensor cores to work, more complicated upscalers that need more power, more complex ray tracing to need heavier denoising, neural texture compression...etc.
All of this can be perfect for business, make an architecture for AI customers and adapt the same architecture for gaming.
Now this is important and might be of interest for some, as pointed out by some publications, RTX 5000 series is slower than 4000 series in some games, as usual, reviewers are brainwashed by Nvidia marketing and can't comprehend how the "new" arhitecture, version...higher number bullshit is slower.
The details are RIGHT IN THE SPECIFICATIONS:
RTX 4070 Ti SUPER - Pixel Rate 250.6 GPixel/s
- FP32 (float) 44.10 TFLOPS
- 706 AI TOPS
RTX 5070 Ti - Pixel Rate 235.4 GPixel/s
- FP32 (float) 43.94 TFLOPS
- 1406 AI TOPS
RTX 4080 - Pixel Rate 280.6 GPixel/s
- FP32 (float) 48.74 TFLOPS
- 780 AI TOPS
I don't know if they measured the same way TOPS for 4000 series and 5000 series but that silicon die has way more AI capability, they even cut physx support from the chip so they would make room for probably even more AI.So the expectations for 5070 ti to beat or equal even the 4080 are not realistic unless the game heavily uses tensor cores for some future neural denoising and texture compression, DLSS transformer might be to light of work for tensor cores.
One thing is clear, Nvidia architecture is not strong in raster and if they care to compete in gaming space they need to find a way to put tensor cores to work, more complicated upscalers that need more power, more complex ray tracing to need heavier denoising, neural texture compression...etc.
All of this can be perfect for business, make an architecture for AI customers and adapt the same architecture for gaming.