I remember some CPU-overloading loads categorized as "mining" in various cloud providers and shut down. I wonder if ML training will cause the same false-positives. (Or "true positive" in the case of "excessive load not allowed" providers)
This concept was more for inference on-demand vs training a model. For example, if there was an API call that had a model call as part of it's workflow. Training even a small model still requires serious compute power.