This post was originally published on Data Center Knowledge
What a difference a year makes. Last year, we noted that the exponential growth in demand for AI compute in data centers would force more efficient processes, faster builds, and more creative problem-solving to address the persistent shortage of top IT talent.
This has certainly proven to be true – in fact, truer than anyone really expected.
According to a May 2024 outlook published by Goldman Sachs, AI implementations are now expected to force up to a 160% spike in data center power demand, demonstrating the increased urgency in managing this growth as the race for resources heats up.
The IEA estimated that globally, data centers consumed 460 TWh of electricity in 2022 (PDF), consuming about 2% of all generated power – and that number is expected to double by 2026. The reasons are clear; AI implementations require much greater compute power than other forms of processing, as power-hungry GPUs labor to meet growing demand.
In 2024, the need for more efficient strategies became clear. In 2025, we will see those strategies put into practice. Already there are some big moves and bold plans on the table, changes in data center builds that will power cloud compute to the next level.
The AI Drivers –
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