vivster said:
I've looked into it a bit. The big problem here is Nvidia using misleading numbers, which are technically true but have no bearing in real world applications. Ampere is using a new kind of shader that is able to execute two instructions per clock. This is similar to hyperthreading in CPUs. However it's of course less efficient in real world applications than having 2 full shaders. Nvidia now proceeds to treat those new shaders as double the shaders from which they also derive the FLOPS. This brings us into a bit of a predicament because now the shader count and FLOPS are not comparable to Nvidia's own cards anymore. So now you have 2 ways of looking at it. If you take the logical cores and theoretical FLOPS at face value you could say that the new shaders are less efficient compared to Turing, which would be true. But that kinda devalues the engineering that has actually been done. I would like to look at it differently and just half the proposed shader count and FLOPS and say that while they have not much increased from Turing, they have massively increased in efficiency. As for the die size, we have hard numbers on that. To my personal surprise the GA102 used for the 3080 and 3090 is actually slightly smaller than the TU102 which was used for the 2080ti. At the same time it is almost twice as densely packed, which explains the massive performance increase. TU102 - 754 mm², 24.7M/mm² (2080ti) TU104 - 545 mm², 25.0M/mm² (2080) GA102 - 627 mm², 44.7M/mm² (3090, 3080) GA104 - 450 mm², 40.0M/mm² (3070) |
I looked a bit into in to, but I dint think of it like hyper threading. If so we would need to half it to 15tf for the 3080, compared to the 10tf of the 2080. with the 80% performance gained showed, we can say nvedia gained a 20% real world performance per flop or per shader. Cant say I know much of their history but it sounds like a big improvement. But I would understand why they would advertise the big number :p
Die size is impressive. But I guess we still have to wait for amd to compare.
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