That might be a reason, but probably more relevant is the fact that when you want solar to provide all power for a data center, you need a lot of buffering capacity (batteries). And then you also need a back up for when the sun doesn't shine... Which is probably a gas generator.
AI training, not inference, seems like it would actually be a good application for a solar powered DC because you could just checkpoint and pause when it gets cloudy. It might end up worth it for the free electricity.
It doesn’t make sense to do that, hardware deprecates in 5years (it used to be 3) and is currently very expensive. So by using this approach you double the average cost of hardware per unit of compute completed.
If there wasn’t such a hardware squeeze and electricity was a higher percentage of the cost, yes, it would have made sense.
Easier to just install a gas generator then