Nvidia's latest desktop workstation has four 80GB GPUs
engadget.com
engadget.com
When there is no real differenced between gaming and ML GPU's enterprise customers just use gaming GPU's.
> Nvidia has banned the use of its consumer-grade GPUs in data centers, the Register reported. This decision forces organizations to pay for the more expensive chips such as the Tesla V100. The GPU company updated the license agreements of its Titan and GeForce software to reflect this change.
https://www.digitaltrends.com/computing/nvidia-bans-consumer...
You'd usually run CUDA applications that can take advantage of the GPUs. Deep learning is all the rage these days, and the new A100 GPUs are particularly well-suited. Many HPC applications like computational fluid dynamics simulation take advantage of GPUs nowadays. There are also a number of visualization applications that GPUs excel at.