- Feb 2, 2009
I strongly believe Ampere architecture is more optimized for RT and ML than Raster performance,.But come on, a new node, a new architecture, and a new crazy high TDP - only for 3090 to be 50% faster than the 2080 TI? I don't buy that.
If the RTX 3090 Ampere is a conservative 30% more efficient than RTX 2080 TI Turing, that alone will translates into a 65% performance uplift over Turing based on the rumored TDP. So then 1.5 x 1.65 = 2.475, which is nearly 150% faster than the 5700 XT. But this is just at rasterization. Nvidia may (or may not) also hold a very commanding lead in RT capabilities.
The new Tensor Cores on Ampere with native INT8/INT4, perhaps will need 2x the transistor count vs Turning Tensor Cores. So if they need 2x the transistor count plus they will increase the Tensor Core count vs Turning, then Tensor Cores will occupy a larger area percentage in Ampere vs Turing. Add extra RT cores, add extra bandwidth lanes for communication and a few other things and a lot of the die size goes to RT and ML performance increases and not for Raster.
For those reasons I believe that RTX3090 will need to increase clocks way above what they originally aiming for in order to reach the +60% over the RTX2080Ti. And that is why we have the TDP increase over Turning RTX2080Ti.