Each of the 2080 Ti's 68 "Turing" SMs contain, among many other things, 64 "FP32" cuda cores dedicated to floating-point math and 64 "INT32" cores dedicated to integer math (calculations with whole numbers).
For context, the RTX 2080 Ti, as of right now the best "consumer" graphics card available, has 4,352 "cuda cores. ” NVIDIA, then, has increased the number of cores in its flagship by over 140 percent, and its teraflops capability by over 160 percent.
Ampere keeps the 64 FP32 cores as before, but the 64 other cores are now designated as "FP32 and INT32. ” So, half the Ampere cores are dedicated to floating-point, but the other half can perform either floating-point or integer math, just like in Pascal.
At NVIDIA's RTX 3000 launch, CEO Jensen Huang said the RTX 3070 was "more powerful than the RTX 2080 Ti. " Using what we now know about Ampere's design, integer, floating-point, clock speeds and teraflops, we can see how things might pan out.
The term teraflop comes from FLOPs, or "floating-point operations per second," which simply means “calculations that involve decimal points per seconds. ” Tera means trillion, so put together teraflops means “trillion floating-point operations per second.
The $499 3070 is likely to be trading blows with the current flagship, and the $799 3080 should offer more-than enough performance for those who might previously have opted for the “Ti. ” However these cards line up, though, it’s clear that their worth can no longer be represented by a singular figure like teraflops.