arXiv:2412.03716v3 Announce Type: replace Abstract: Artificial intelligence (AI) computing and data centers consume large amounts of freshwater, both directly for cooling and indirectly for electricity generation. While most attention has been paid to developed countries such as the U.S., this paper presents the first-of-its-kind dataset that combines nation-level weather and electricity generation data to estimate water usage effectiveness for data centers in 41 African countries across five different climate regions. We also use our dataset to evaluate and estimate the water consumption of i
The increasing global awareness of AI's energy and water demands, coupled with the rapid expansion of AI infrastructure into new regions like Africa, necessitates foundational data for sustainable development.
This data provides crucial intelligence on the environmental footprint of AI expansion in a critical, under-researched region, enabling informed policy and infrastructure planning.
The availability of this dataset shifts the conversation from general concerns about AI water usage to specific, actionable metrics for African data centers, highlighting regional vulnerabilities and opportunities.
- · African governments
- · Data center operators in Africa
- · Water management technology companies
- · AI sustainability researchers
- · Data centers with inefficient cooling
- · Regions with severe water stress
- · Traditional energy providers
The dataset will accelerate research into water-efficient cooling solutions tailored for diverse African climates.
This could lead to regulatory frameworks in African nations specifically addressing data center water consumption and environmental impact.
Increased water costs and environmental regulations may influence the economics and geographic distribution of future AI infrastructure development across the continent.
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