ComputeAmp is a framework that maximizes AI data center compute capacity through dynamic joint optimization of cooling, battery storage, and compute adaptation within site-level power constraints.
Small bottle, big pipe: Quantifying and addressing the impact of data centers on public water systems.arXiv:2603.02705, 2026
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Taxation of AI activities can correct externalities, redistribute costs and gains, and support regulation, though instruments like corporate taxes, consumption taxes, and excises vary in feasibility, measurement challenges, and effects on innovation.
The paper formalizes the Water and AI Feedback Loop, introduces the Water Consumption Impact index, and shows water burden from AI data centers varies from 0.2% to 134% of local capacity across ten US sites.
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Maximizing Compute Capacity in AI Data Centers through Cooling, Energy Storage, and Computing Adaptation
ComputeAmp is a framework that maximizes AI data center compute capacity through dynamic joint optimization of cooling, battery storage, and compute adaptation within site-level power constraints.