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Data Center News > Blog > Cloud Computing > AI Cooling Demands Push Data Centers into Deep Water
Cloud Computing

AI Cooling Demands Push Data Centers into Deep Water

Last updated: April 22, 2025 10:59 am
Published April 22, 2025
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AI Cooling Demands Push Data Centers into Deep Water
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With AI driving fast development in international knowledge heart infrastructure, the water required to chill these amenities is rising as a major monetary, operational, and reputational threat.

In line with a current Moody’s report, “water stress” is escalating in key knowledge heart markets.

The consulting agency identifies water shortage as a rising credit score threat for knowledge heart operators, notably hyperscale suppliers supporting AI workloads that require denser compute energy and better thermal masses.

“As cloud computing and hyperscalers construct or lease new knowledge facilities to satisfy escalating computing demand, their water consumption could pressure assets in some markets,” the report cautions.

A Thirst for New Services

Most new large-scale amenities depend on water-based cooling programs, that are extra environment friendly for high-density computing however can considerably improve complete water consumption.

Moody’s warns that knowledge heart builders who fail to make use of water-efficient programs could face heightened scrutiny from regulators and buyers.

John Medina, senior vp of Moody’s international challenge and infrastructure finance, tells DCN that groundwater shortage poses a threat in fast-growing hyperscale areas, just like the southwestern U.S., Chile, and India.

Associated:Direct-to-Chip Cooling: Every little thing Information Middle Operators Ought to Know

“Native regulation, infrastructure constraints, and social backlash can delay initiatives or improve prices,” he says. “Builders may additionally relocate giant knowledge heart initiatives to different, extra business-friendly areas.”

One hyperscale facility can eat thousands and thousands of liters of water per day – on par with small city areas – relying on local weather and infrastructure design.

The report notes that hyperscalers, together with Google, Microsoft, AWS, and Meta, have dedicated to changing into “water constructive” by 2030, which means they intention to replenish extra water than they use.

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Whereas these firms have efficiently lowered their common water utilization effectiveness (WUE) to between 0.2 and 0.5 liters per kilowatt-hour (kWh), the general water demand from the information heart business continues to rise attributable to fast development in hyperscale and AI-driven infrastructure.

Operators Adapt – However Rigorously

In line with Sean Farney, vp of knowledge heart technique at JLL, the business’s most outstanding gamers are taking a proactive method to mitigate useful resource issues throughout the web site choice and design phases.

“Operators gained’t put capital in danger in areas the place important assets like water and energy are lacking,” he says. “The homework has been completed, and if a deficiency arises, they’ll mitigate the chance from day one.”

Associated:Japanese European Information Middle Makes use of Gorge for Pure Cooling

The problem is balancing environmental objectives with uptime necessities and monetary viability. Applied sciences like liquid cooling and adiabatic programs promise decrease water utilization however deliver their very own set of dangers and complexities.

“If the enterprise mannequin assumes three to 5 nines of uptime, something you do to boost sustainability can not compromise that,” he says. “Astute knowledge heart managers are balancing uptime commitments with environmental targets.”

Many operators are shifting from conventional evaporative cooling to air-based or hybrid programs, notably in high-stress geographies.

Others are exploring the reuse of greywater, modular cooling designs, or closed-loop programs. Nonetheless, such transitions are sometimes costly, notably when retrofitting present belongings.

Farney factors out that in sure geographies, a kilowatt of compute comes with a predictable draw on native water programs.

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Ram Sri, vp of sustainable finance for Moody’s Rankings, provides that knowledge facilities more and more compete with native communities and agriculture in water-stressed areas.

“This could set off strict allowing guidelines, public opposition and challenge delays,” Sri says. “As water stress worsens, regulatory scrutiny and reputational dangers will intensify, affecting development and prices.”

Associated:Liquid-Cooled SSD Eases AI Information Middle Warmth Challenges

Water Objectives Meet Market Pressures

Whereas the tech giants have set water-positive objectives, Moody’s cautions that these targets are being examined by fast AI-driven enlargement.

As bodily footprints and workload density rise, complete water use grows regardless of effectivity beneficial properties.

The report argues that attaining internet water positivity requires not simply conservation but additionally native replenishment, typically in arid or overdrawn watersheds.

Traders are starting to take discover. Some operators are turning to inexperienced bonds and sustainable financing to fund water-related upgrades, and several other municipalities now require influence assessments earlier than approving new builds.

These monetary devices may change into extra frequent as ESG standards tighten and governments introduce new water utilization and disclosure guidelines.

Subsequent-Gen Cooling Funding

With AI pushing the thermal limits of compute {hardware}, and native authorities elevating the bar on useful resource administration, water is changing into one of the vital crucial – and contested – inputs to digital infrastructure.

Medina notes operators are investing in hybrid and superior cooling applied sciences to chop water use with out compromising uptime. Nonetheless, new waterless applied sciences lack confirmed monitor data and introduce upkeep dangers, he mentioned.

See also  Google’s €5.5B Germany investment reshapes enterprise cloud

“From a credit score lens, forward-looking adaptation is constructive and delays in modernizing infrastructure may point out delayed capital funding to satisfy evolving tenants’ calls for for elevated sustainability in some areas,” he says.

Farney says that, in the end, the viability of recent knowledge facilities could more and more hinge on native water situations as a lot as on energy availability or fiber routes.

“In the meanwhile, the main focus is all on energy availability and scalability,” he says. “If a geography out of the blue turned dangerous attributable to water constraints, each the location choice and capability administration groups would already be mitigating threat by constructing or load-shifting to various areas.”



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Contents
A Thirst for New ServicesOperators Adapt – However RigorouslyWater Objectives Meet Market PressuresSubsequent-Gen Cooling Funding
TAGGED: Centers, cooling, data, deep, demands, Push, water
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