Plus there's a lot of highly specialized engineers required to keep all those GPUs up and running during training and the ML engineers who are skilled in deep learning + hardware, plus the systems for gathering/cleaning/labelling data. Gather enough engineers and now you need managers, PMs, etc.

At least $10 million/yr just for the talent.