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Phaidra’s Jim Gao on Building the Fourth Industrial Revolution with Reinforcement Learning
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Optimize Energy Usage for Cost and Carbon Reduction
The focus should shift from merely seeking energy savings to pursuing significant cost savings through optimized load management. By rescheduling compute loads based on cost-effectiveness and carbon intensity, organizations can enhance efficiency. With data centers projected to consume an increasing share of national energy—rising from 1-2% to an anticipated 9% in the US and from 22% to 37% in Ireland by decade's end—recognizing them as massive load banks on the grid is crucial. This highlights the need for global system-level optimization to manage energy use effectively.
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