AI Data Centers Face Power Limits, Borrowing Lessons From Bitcoin Mining
According to TheEnergyMag, Cadence and Duos Technologies say energy efficiency is becoming central to AI data centers, much as it is for bitcoin miners.
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what happened
According to TheEnergyMag, bitcoin miners have long used firmware to tune chip frequencies and voltages, squeezing more hashrate out of limited electricity. AI infrastructure operators face a similar problem: how to generate more computing output when extra power is hard to secure. Sherman Ikemoto, Group Director at Cadence, said that running GPUs at 80% of maximum power can free electricity for more processors, and their combined output can be higher.
Dipan Patel, chief operating officer of Duos Technologies, said many sites are marketed on headline megawatts, but part of that capacity may be interruptible or depend on a future upgrade. He added that utility studies and infrastructure work can delay energization by several years.
why it matters
For investors, the story signals that power constraints are becoming a central bottleneck for AI infrastructure growth. The mining comparison highlights that computing economics depend on how much useful work a fixed electricity supply can support, not just on the number of machines.
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sources
- INTERVIEW SERIES: AI’s Power Crunch Echoes Bitcoin Mining’s Efficiency Push — theenergymag.com, 9 November 2026 at 02:58 UTC
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