Interesting, but the really big difference comes when you need to push data out to end users...network egress charges.

True! Not with machine learning though. The target of this benchmark is hardcore number-crunching.

But... that's not using GPUs? What use is a ML benchmark that is only measuring CPU usage?

It is (using GPUs).

Then it needs to be rewritten, because it is impossible to tell what the machine specs are (none of them have GPU specs listed) and there is no documentation on which tests are run under the GPU and which are not. The repos contain vague information on GPU options, but there is no information on what was used in the tests.

There is nothing in this article that has any information on GPUs. It doesn't even list the actual machine instances used (would not the AWS tier name be useful here, for example?).

I guess you'll have to wait for the next part.