Then I misunderstood that, but I still don’t agree. The “surplus energy” of the renewables is not really there. Granted, in some regions (not really sure about the USA, though, I don’t have data on that), renewables can provide > 100% of the required electricity for a few hours per day, but that’s not really a lot of surplus energy. If it was, they wouldn’t have to build power plants just for the data centers.
You even kind of mention that with
because this demand is outstripping even the excess supply
Electricity price definitely is a factor for data centers, but having electricity 24/7 is even more important to them. Also, what made AI feasible was the usage of GPUs or even more specialized hardware, that is tailored to those tasks. Machine learning as a concept has been around since the 1980s or even earlier, not just the last 20 years. Paradoxically, that increase in efficiency caused a drastic increase in total power consumption for AI.
Then I misunderstood that, but I still don’t agree. The “surplus energy” of the renewables is not really there. Granted, in some regions (not really sure about the USA, though, I don’t have data on that), renewables can provide > 100% of the required electricity for a few hours per day, but that’s not really a lot of surplus energy. If it was, they wouldn’t have to build power plants just for the data centers.
You even kind of mention that with
Electricity price definitely is a factor for data centers, but having electricity 24/7 is even more important to them. Also, what made AI feasible was the usage of GPUs or even more specialized hardware, that is tailored to those tasks. Machine learning as a concept has been around since the 1980s or even earlier, not just the last 20 years. Paradoxically, that increase in efficiency caused a drastic increase in total power consumption for AI.
I don’t think you’re reading what I’m writing, so I’m going to leave this here. Have a good one!