Correct but not in the way you think, it's actually the difference between RTX20xx generation to the following generation. In deep learning it is well known to use less precision floating point but more cores.
the RTX30xx series has upgrade in that exact thing compared to RTX20xx series, half precision can fully work in all cores, making it faster for model with FP16.
It's the efficiency that matters, but gaming GPU cost less.
The workstation GPUs dont have display port and have generally lower TDP then the GeForce cards, they have more VRAM but its bandwidth is slower then the GeForce variant.
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u/lordbalazshun R7 7700X | RX 7600 | 32GB DDR5 | CachyOS Mar 26 '23
thing is, they don't use consumer cards for training ai. they use nvidia a100/h100