So the problem in my circumstance is two-fold: 1) The ML experts in the field have all, pretty much, settled on the need for a uniform method to train models,

So the problem in my circumstance is two-fold: 1) The ML experts in the field have all, pretty much, settled on the need for a uniform method to train models, but for each model needing to be trained on-site. 2) While the cloud might be near infinite in terms of adding capacity, "Hey guys, lets stage up some health-data compatible AWS instances to do something that was a side project we're not even sure will work" in what is always a cash-starved part of healthcare is...well...a pretty big ask.