Head-to-head cost comparison of Amazon's AWS, IBM's Softlayer, Hetzner and Google's ComputeEngine on a machine learning benchmark:

https://rare-technologies.com/machine-learning-hardware-benc...

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.

It has similar specs as the i3.16xlarge, so will probably be priced similarly ($5/hour).

i3.16xlarge: 64 vCPU 488GB 8 x 1900 NVMe SSD

i3.metal: 72 hyperthreads 512GB 15 TB disk

I wonder if this is the hardware for the host of the i3 series.

It's still the last generation of Xeons, but it's a beast.