I meant the Cost of render time on GPUs. I simply doubt Nvidias statement of RTX I/O being so lean on a GPU. Like i wrote obove - i want to see something. At least a Demo of some sorts. Should not be so difficult. And to adress the "2Tf sacrifice are enough to catch up or even overtake PS5s I/O capabilitys" - i think that came out of another Thread wich was linked here some while ago. I absolutly tink that for one - on RTX 20xx nobody has 2Tf to spare when it renders a lets say 2nd wave PS5 Exclusive. I think trying to mimik PS5s I/O throughput is much more stressfull to a GPU then most people think. It is cute that Jen-Hsun Huang thinks that simply flipping a switch on a RTX 20xx / 30xx GPU is sufficient to mimik PS5 I/O Capabilitys without adding up a kinds of latencys in the CPU/ GPU correspondance ( wich is already much higher than on Consoles because UMA instead of hUMA ) .
That’s dependent on whatever decompression scheme that Nvidia or other developers offers in conjunction with RTXIO. I need to find the link but an A100 using nvCOMP and a third party decompression method called Bitcomp can chew through compressed textures or geometry at 400+ GBps.
An A100 offers about 50% more tflops than something like a 3060 but we are not talking the need to handle 400 GBps of compressed data but rather 10-15 GBps.
People keep talking about how current software is designed around HDDs which presents a limitation. But we forget that current hardware has been designed around HDDs too. Current VRAM sizes on GPUs are the product of limited bandwidth between HDDs and GPUs/CPUs. Nvidia nor AMD were building ever growing chips only to starve them. VRAM sizes have increased to accommodate the data needs of the GPUs.
Mother AMD and Father Nvidia didn’t have the capacity to feed Gerry, Preston and Unis on an as-needed basis but they did have the ability to buy a minivan to fill up with groceries that would last for weeks. Just because a grocery store with a drive-thru opened up across the street doesn’t mean the kids have a greater capacity to eat more food.
Removing the main storage bottleneck is going to offer advantages going forward. The main one being the ideal ratio of RAM to GPU performance will grow smaller.
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