Makes you realize how insane the M5 Ultra Mac Studio is. 1.2GB/s bandwidth 512GB memory. Its rated max power draw is just 480W. And it also has amazing M-series CPUs. It costs less than just one of these GPUs which each take 700W to run.
These GPUs are extremely inflated in price because Nvidia effectively has a monopoly on hardware that is used to train models. Apple Silicon tends to have good inference software available but as soon as you want to train even a YOLO model bits and pieces fall back to software implementations. Try to train an LLM and it'll get even worse.
The M3 Ultra's GPU performance is around a 4070 Ti. The M5 Ultra more like a 5080. They're both amazing deals compared to Nvidia for local inference because of their massive pool of high bandwidth memory. But a single RTX PRO 6000 should be 2 or 3x the compute of an M5 Ultra.
*TB/s