??? AI's electricity drain: a growing concern
Caya (Jose Cayasso)
CEO at Slidebean. 500K+ Youtube subscribers. TEDx Speaker. 500 Startups Alum. 40-under-40.
How’s your energy this weekend? Today, we discuss?AI’s growing energy demands . Microsoft and OpenAI plan a $100 billion data center that may require five gigawatts of power—equivalent to five nuclear reactors. ??
On the other hand, as the startup ecosystem has become more sophisticated, it is now starting to?disrupt some tightly controlled sectors , which were until recently the domain of governments and legacy institutions. ??
We’re also following the question:?Is the climate tech funding gap real? ?The problem might not be a lack of capital, but rather the caliber of the companies pursuing it.?
Stay tuned for more and have a great weekend!
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Six bullets of updates
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The high cost of AI: concerns over electricity consumption
A.I. data centers have an insatiable appetite for electricity, especially the graphic processing units (G.P.U.s) used to train large language models and handle queries like ChatGPTs. These G.P.U.s consume significantly?more energy than standard microchips ?and generate substantial heat, increasing energy demands for cooling and operation.
With the rapid proliferation of data centers, projections of the energy needed to sustain the A.I. boom are skyrocketing. Each new data center coming online contributes to a?growing concern about the sustainability ?of this expansion.
A peer-reviewed study estimates that AI could account for 0.5 percent of global electricity use by 2027, comparable to Argentina's annual consumption. Analysts at Wells Fargo suggest that U.S. electricity demand might surge by 20 percent by 2030, mainly due to the escalating power needs of A.I. technology.
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