UC Riverside study suggests many technology companies are wasting resources and repeating historic patterns of injustice as they build out AI systems.
after a study by state officials found there isn’t enough groundwater left to meet projected demand over the next century.At some point, Ren said caps on water usage and rising water costs might make places like Phoenix less attractive places to build data centers. But judging by the number of projects now in the works, clearly that day isn’t today.
Also, air cooling systems require about 10% more energy, per Google. Unless companies take steps to ensure they’re getting power from renewable sources, Ren said any switch to air cooling systems will decrease their water footprint onsite while actually increasing both their offsite water footprint and their carbon emissions.
Both of those moves would likely increase data center construction costs. That’s where tax incentives and grants can come in, which — coupled with buying some goodwill from consumers while lowering their own potential financial risks associated with climate change — can help offset those price differences.
“Because those large companies have lots of data centers throughout the world, they can actually shift the workloads, or shift the AI computing, from one data center to another without it being noticed, without affecting the user experience at all,” Ren said.
A few companies, including Google and Microsoft, are trying to schedule their workloads based on the real-time availability of renewable energy, Ren said. But so far, those plans are still experimental and not standard practice.
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