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Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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DIVING INTO THE FUTURE: INTEGRATED ENGINEERING FOR BUILDING AI-POWERED UNDERWATER DATA CENTERS TO ACHIEVE "BLUE COMPUTING"

Authors: Jouma Ali Al-Mohamad;

DIVING INTO THE FUTURE: INTEGRATED ENGINEERING FOR BUILDING AI-POWERED UNDERWATER DATA CENTERS TO ACHIEVE "BLUE COMPUTING"

Abstract

With global data center energy consumption reaching 415 TWh in 2024 and projected to double by 2030 due to the artificial intelligence boom, a critical question emerges: where will we house this immense computational capacity? The compass of scientific and engineering research is pointing toward the open sea, where ocean depths offer a unique natural solution to both energy and cooling challenges. This article reviews the latest engineering frameworks for constructing underwater data centers, drawing on results from Microsoft's Project Natick, the pioneering Chinese model in Shanghai, and academic frameworks published in Nature Reviews Electrical Engineering. We analyze how these systems are transforming from mere concepts into massive metallic entities descending into the depths, becoming the essential infrastructure for the era of "green artificial intelligence."

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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