Hyperscale Data Centers May Fundamentally Alter Global Power Demand [Forbes]
Goldman Sachs Group, Inc. (The) (GS)
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Source: Forbes
intelligence (AI) may cause subtle shifts in global energy systems as we enter the latter half of the current decade. Before the mass proliferation of AI tools, computational needs of end users were largely serviced by data centers with power demand in region of 5MW. However, all that is rapidly changing with more and more 'hyperscale' or large data centers becoming commonplace. These have typical power demands of over 100MW or more, with an annual electricity consumption equivalent to the electricity demand from around 350,000 to 400,000 electric cars, according to the International Energy Agency (IEA) That's because a single ChatGPT query requires 2.9Wh of electricity, compared with 0.3Wh for a routine Google search; nearly 10 times as much It is why many forecasters believe the world will see a significant scaling up of hyperscale data centers driven by the use of AI for everyday computing. For instance, Goldman Sachs estimates the overall increase in data center power cons
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