The trillion-dollar collision between AI and the grid

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The rapid rise of AI has sparked a multi-trillion-dollar collision between our aging power grid and massive, energy-hungry AI "factories." Unlike traditional cloud data centers, AI training workloads are incredibly dense and volatile, capable of spiking or dropping power demand in milliseconds and threatening grid stability. Dr. Varun Sivaram, CEO of Emerald AI, says the solution lies in load flexibility. By using software to dynamically shift AI workloads across time (temporal flexibility) or across the country (spatial flexibility), data centers can adapt to the grid rather than overloading it. It’s an approach that avoids the need for expensive, off-grid microgrids that drive up…