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AI's Water Footprint to Reach 600 Billion Gallons by 2030

By PulseAugur Editorial · [2 sources] ·

Artificial intelligence is projected to consume a staggering 600 billion gallons of water by 2030, driven primarily by the escalating energy demands of data centers rather than direct cooling. While AI workloads currently account for 20% of global data center electricity-related water usage, this figure is expected to rise to 40% by 2030. This growing water consumption poses significant challenges, particularly for regions already facing water scarcity, and may become a critical factor in the approval and development of new data center projects. AI

IMPACT AI's escalating energy needs will significantly increase water consumption, potentially impacting data center development and exacerbating water scarcity issues.

RANK_REASON The article discusses a significant projected increase in water consumption due to AI's energy demands, impacting infrastructure and policy considerations.

Read on Tom's Hardware →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI's Water Footprint to Reach 600 Billion Gallons by 2030

COVERAGE [2]

  1. Tom's Hardware TIER_1 English(EN) · Jon Martindale ·

    AI is set to consume up to 600 billion gallons of water by 2030 — rising energy consumption primarily to blame as data center power demands rise

    Direct cooling data center GPUs uses only a fraction of the water required to keep them running, and with plans for future GPUs and rack systems to be even more power hungry, this problem could make data centers even more of a resource hog.

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    AI is set to consume up to 600 billion gallons of water by 2030 — rising energy consumption primarily to … Direct cooling data center GPUs uses only a fraction

    AI is set to consume up to 600 billion gallons of water by 2030 — rising energy consumption primarily to … Direct cooling data center GPUs uses only a fraction of the water required to keep them running, and with plans for future GPUs and rack systems to be even more power hungry…

    LINKS tomshardware.com/…/ai-is-set-to-consume-u… tomshardware.com/tech-industry

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