No because GPU is more than just the KGD in its center.
If you would deliver arguments instead of 1-liners without any meaningful content....
Lets take Sapphire 6700XT Pulse vs. 9070XT Pulse. Same manufacturer. Same device class. Same device branding.
- 480$ vs. 600$ -> 1.25x
- 335mm2 vs. 357mm2 -> 1.07x
- N7 vs. N4 -> according to AMD 1.2...1.3x or so (some uncertainty there)
- 12GB 16Gbps GDDR6 vs. 16GB 20Gbps GDDR6 -> 1.33x with higher speeds (but memory should have gotten a little bit cheaper per gigabyte)
- 2-fan vs. 3-fan -> 1.5x
- 230W vs. 304W -> 1.32x
- 9+2 vs 11+3 VRM phases
- PCB size got actually shorter, but maybe 2 layers more
So everything I see there has roughly linearly increased with MSRP. The GPU Die could be a little bit more expensive than the MSRP increase would indicate, hence slightly reduced margins per card might be true. But if the case, not by much.
And now for you to understand:
This is not a per-xtor comparison. This is a component cost comparsion. That is something completely different. 3x more transistors at 1.25x higher price cannot be compensated by other components or less margin. But if you think that is possible, please provide us a explanation or calculation of that.
We have following metrics:
1) Cost per Die area -> goes up
2) Cost per xtor -> goes down, much more than 1)
3) Cost per performance -> goes down, but slower than a few years ago because 1) and 2) work against each other
Moore's Law as it was defined in the 60's and 70's is dead, yes. It is not a doubling of transistors every 12...24 months at the same costs. But transistor cost still goes down.
- Just as a side note here : Moore's Law was mainly a consequence of Dennard's Scaling. That is the true physical effect and foundation behind Moore's more business related prediction. Dennard's Scaling ended ~2005
In the early days, this doubling of transistors resulted in a doubling of performance as well. This has slowed down even more than the transistor cost decrease, see 3) above. But still, performace per cost goes up. In some areas even more than Moore's Law (when accelerators get introduced for some task or ML/AI renders all existing approaches ineffective and useless).