You would have thought we would have transcended physical locations by now. It’s a totally valid argument. A GPU doesn’t care if it’s in Japan or Brazil or New York you would have thought you could distribute training work load across the world.

Isn't that what the article talks about in the section that begins with this?

>Given their AI ambitions, a solution could be building data centers in multiple locations to avoid overloading any one region’s power grid. It would be technically challenging, but it may be necessary, Russinovich told Semafor.

As if training an IA model required a whole datacenter .. my god, what a joke

Let's say, 1 GPU per RU on average (using the 8RU 8GPU from supermicro, and excluding a couple of RU for top of racks etc)

How much GPU can you run in an ENTIRE DATACENTER ? Is power even an issue ? In France, we have many datacenters located near power supply, for obvious reasons

To this point, honestly, and considering that datacenters runs millions of CPU today, this entire article seems like typical microsoft bullshit