Cooling

ET Datacenters reports that despite available technology, data centers across the industry seldom recycle or reuse cooling water because the economic trade-offs, including capital costs for treatment systems, operational complexity, and energy overhead, outweigh the savings in most markets. The analysis identifies the gap between water-efficiency goals and on-the-ground investment decisions as a structural problem rather than a technical one. Operators in water-scarce regions are the primary exception, where regulatory pressure or supply costs shift the calculation.

Data Center Frontier examines how specialized valves controlling coolant flow have become a critical and often overlooked component in liquid cooling deployments for high-density AI workloads. As GPU rack densities climb, precise thermal management at the valve level determines whether cooling systems can maintain safe operating temperatures. Supply constraints and engineering complexity around these components are beginning to factor into data center construction timelines.

Intelligent Living surveys emerging cooling approaches designed to reduce water consumption in AI data centers, including closed-loop liquid systems, dry coolers, and hybrid evaporative designs. Water use has drawn increasing regulatory and community scrutiny as facilities scale to support large language model training and inference. Operators are under pressure to demonstrate measurable reductions in water usage effectiveness metrics.

A JLL analysis finds that liquid cooling has moved from an experimental option to a mainstream deployment strategy in data centers, driven by the heat output of modern AI accelerators. The report highlights direct liquid cooling and immersion systems as the formats seeing the fastest adoption. Facility operators are now expected to specify liquid cooling capacity at the design stage rather than as a retrofit option.

Haffner Energy has introduced a combined biomass power and cooling system designed specifically for data centers, offering an alternative to grid-connected electricity for both power and thermal management. The system uses biomass combustion to generate electricity and capture waste heat for cooling purposes. The product targets operators seeking low-carbon energy sources that can function independently of constrained utility grids.

The Brookings Institution has released an analysis examining water consumption by AI systems and data centers, covering the scale of usage, geographic distribution of impacts, and policy options for regulators. The report arrives as federal officials have publicly disputed the extent of data center water use. Brookings identifies gaps in current disclosure requirements and outlines potential regulatory frameworks. The analysis is positioned to inform legislative and regulatory debates at both state and federal levels as water scarcity concerns mount in data center-dense regions.

Researchers in Germany and Japan have built a working prototype of a cooling system for data centers that requires no electricity, according to Data Center Dynamics. The system uses passive thermodynamic processes to dissipate heat, potentially eliminating one of the largest power draws in a standard facility. Details on the technology's scalability and timeline to commercial deployment were not provided in initial reporting.

Law firm Foley Hoag's second installment in its data center growth series examines how water consumption, siting constraints, and electronic waste rules are converging into a new compliance frontier for operators. The analysis highlights that water withdrawal permits are becoming as contentious as zoning approvals in water-stressed regions. E-waste regulations, particularly in the EU and select US states, are adding end-of-life obligations that few operators have fully priced into project economics.

A Data Center Knowledge analysis examines why water reuse remains rare in data center cooling operations, despite growing public scrutiny of water consumption. The piece identifies capital cost, regulatory complexity, water quality requirements, and operational risk as the primary barriers preventing operators from implementing closed-loop or reclaimed water systems. Industry experts cited say that reuse is technically feasible but economically unattractive under current utility pricing structures.

The World Economic Forum published a framework for water circularity in data centres, describing models that recapture and reuse water consumed in cooling systems rather than discharging it. The piece highlights facility-level and district-scale approaches, including heat recovery loops and closed-cycle systems, and names specific projects in Europe and Asia as examples. The WEF framing positions water circularity as an emerging industry standard rather than a voluntary add-on.

An op-ed published in The Seattle Times argues that AI data centers are discarding large quantities of heat that could be recovered and redirected to district heating systems, reducing both energy waste and emissions. The piece cites examples from European cities where data center waste heat already supplies residential and commercial buildings. The author contends that US operators and regulators have been slow to adopt comparable heat reuse requirements.

South Korean data center operators are accelerating deployment of liquid cooling systems as AI GPU workloads generate heat loads that conventional air cooling cannot manage, according to Chosunbiz. The shift is being driven by the density of AI training and inference clusters, where modern GPUs can exceed 700 watts per chip and rack densities push beyond 100 kilowatts. Korean operators, including major domestic cloud providers, are evaluating both direct liquid cooling and rear-door heat exchangers. The transition is creating demand for new infrastructure investment in facilities that were originally designed for air-cooled servers.

AI workload requirements are driving liquid cooling design changes that extend from the chip package all the way to facility-level valve and flow control systems, according to analysis published by Data Center Frontier. Higher GPU thermal design power figures, including chips exceeding 700W, require more precise coolant flow management than earlier generations of direct liquid cooling. Vendors are now engineering cooling infrastructure as an integrated thermal system rather than a collection of discrete components.

Graphene Manufacturing Group (TSXV: GMG; OTCQX: GMGMF) announced a new product called G FLUID, a graphene-enhanced liquid designed for immersion cooling in AI data center applications. The company did not disclose a commercial launch date or customer partnerships in the available announcement, but positioned G FLUID as a differentiated thermal management fluid for high-density AI racks. The product enters a market where liquid and immersion cooling demand is rising sharply alongside rack power densities.

NVIDIA has detailed a cooling breakthrough that allows its largest AI systems to operate using coolant at 45 degrees Celsius, above the threshold previously considered practical for liquid cooling at scale. The advance eliminates the need for chilling infrastructure in many deployments, reducing both capital cost and energy consumption for facility operators. NVIDIA says the approach is validated for its highest-density GPU configurations and is being adopted by early data center partners.

A startup backed by MIT researchers has developed a nuclear-inspired closed-loop cooling system designed to eliminate or dramatically reduce water consumption in data centers, MIT News reports. The system uses passive heat exchange principles derived from nuclear reactor thermal management and is being tested at small-scale facility deployments. The startup is targeting hyperscale operators facing water use restrictions in drought-affected regions.

Cogeneration and trigeneration systems, which generate electricity and simultaneously capture waste heat for cooling or heating, are seeing renewed interest as a solution for power-hungry AI data centers. The approach allows facilities to produce on-site power while using thermal byproducts to reduce mechanical cooling loads, addressing both energy cost and grid dependency concerns. Vendors and operators are revisiting decades-old industrial energy technology in the context of GPU-dense, high-heat AI workloads.

New refrigeration architectures are being developed and evaluated specifically to support rack densities reaching 200kW per rack, a threshold that conventional air cooling cannot address. Data Center Frontier's coverage details the engineering requirements and system configurations needed to manage heat at that scale, including direct liquid cooling loops and high-capacity chilled water infrastructure. The 200kW rack benchmark is increasingly cited as the planning target for next-generation AI training clusters.

Data Center Knowledge reviews the current state of water-free cooling technologies and assesses whether they are approaching commercial viability at scale. The report covers approaches including rear-door heat exchangers, dry coolers, and advanced air-side economization that eliminate or drastically reduce water consumption. Several operators facing water use restrictions in drought-prone regions are accelerating evaluation of these systems.

Trane and Eaton are jointly promoting integrated system designs that combine power distribution and cooling infrastructure for high-density AI data centers, presenting the approach as a way to reduce complexity and improve efficiency in facilities running dense GPU loads. The companies say the integrated architecture addresses the challenge of coordinating power and thermal systems that have traditionally been specified and installed separately. Neither company disclosed specific deployment sites or contract values.

Castrol announced that its ON PG25 cooling fluids have been validated for use in NVIDIA AI factory and data center infrastructure, signaling formal qualification within NVIDIA's ecosystem for immersion or liquid cooling deployments. The validation covers compatibility with NVIDIA hardware at the facility level rather than just component level. Castrol, a BP subsidiary, enters a market where fluid qualification is increasingly a procurement requirement for large-scale AI compute builds.

Malaysia is preparing to commercialize a palm oil-based dielectric fluid for single-phase immersion cooling in data centers, positioning the country's dominant agricultural commodity as a new input for AI infrastructure. The fluid is being developed as a biodegradable alternative to synthetic dielectric liquids currently imported from Western suppliers. No launch date or pricing was disclosed in the announcement.

A new MarketsandMarkets report projects substantial growth in Singapore's data center liquid cooling market through 2031, driven by rising compute density and regional AI infrastructure investment. Singapore has positioned itself as a Southeast Asian hub for hyperscaler facilities, making thermal management a critical operational and regulatory concern. The report covers immersion cooling, direct liquid cooling, and related thermal systems.

Nasscom has published an analysis of how liquid-cooled data centers manage thermal load across thousands of concurrent GPU threads, examining heat distribution, coolant routing, and load-balancing strategies at scale. The piece addresses the specific challenge of maintaining temperature stability when GPU utilization spikes unpredictably across large clusters. Liquid cooling adoption has accelerated as air cooling reaches its limits with high-density AI compute racks. Operators are increasingly treating thermal architecture as a core engineering constraint alongside power delivery.

Johnson Controls published analysis arguing that zero-water cooling systems are viable and preferable for data centers, citing advances in air-side and refrigerant-based thermal management that eliminate the need for evaporative cooling water. The company positions its approach as a response to regulatory and community pressure over water consumption at large facilities. The piece arrives as water usage effectiveness metrics face increasing scrutiny from state regulators and local governments.

Rika has introduced a water quality monitoring system designed specifically for liquid cooling loops in AI data centers, targeting contamination and scaling issues that can degrade cooling performance over time. The system uses real-time sensors to track parameters including pH, conductivity, and turbidity in coolant circuits. Liquid cooling adoption is accelerating as AI rack densities push past 100 kilowatts per rack, making coolant integrity a critical operational variable.

Demand for plastic piping systems is increasing as liquid cooling installations in data centers expand, according to Plastics News. The shift from air to liquid cooling at scale requires extensive new piping infrastructure within facilities, and plastics manufacturers are positioning to supply this growing market. The trend reflects how data center growth is generating demand across adjacent industrial sectors beyond traditional IT supply chains.

India's rapidly expanding AI data center sector is forcing operators to choose between high-performance liquid cooling systems and the country's chronic water availability constraints. Facilities in water-stressed regions are evaluating closed-loop cooling, dry coolers, and rear-door heat exchangers to reduce freshwater consumption while meeting the thermal demands of dense GPU clusters. The tension is shaping facility design standards across major Indian markets including Chennai, Hyderabad, and Pune.

Korea JoongAng Daily reports that prolonged heat events are forcing AI data center operators to accelerate investment in advanced temperature management systems. Facilities designed for standard thermal loads are struggling to maintain safe operating conditions during extended hot spells, pushing operators toward more sophisticated cooling architectures. The report highlights cases in South Korea and broader Asia where ambient temperature rises are compressing cooling headroom. Operators unable to adapt face risks of thermal throttling that directly reduce compute throughput.

Ecolab published technical guidance detailing reliability considerations for liquid cooling systems deployed in AI data centers, addressing fluid chemistry, contamination risks, and maintenance protocols specific to high-density GPU environments. The company identified corrosion, microbial growth, and particulate contamination as primary reliability threats in direct liquid cooling deployments. Ecolab's recommendations target operators scaling liquid cooling infrastructure to support dense AI training clusters.

Data Center Dynamics published an analysis of water cooling system options suited to Australia's climate and regulatory environment, where water scarcity and high ambient temperatures create distinct engineering constraints. The piece addresses evaporative cooling limits, direct liquid cooling adoption rates, and how local water regulations are shaping system design choices for operators entering or expanding in the market.

Data Center Frontier examines how decades of engineering experience from critical infrastructure sectors, including power generation and industrial facilities, are being applied to address cooling challenges in modern data centers. The analysis covers thermal management strategies for high-density AI compute environments, where traditional air cooling approaches are increasingly insufficient. The piece points to liquid cooling and hybrid systems as the primary beneficiaries of this cross-sector knowledge transfer.

A new report from MarketsandMarkets projects the global data center thermal management market will reach $32.38 billion by 2032, driven by rising compute density and the adoption of liquid cooling technologies. The report covers cooling systems including air-based, liquid, and immersion solutions across hyperscale and enterprise segments. Growth is attributed primarily to the expansion of AI and high-performance computing workloads.

MarketsandMarkets has published a market sizing and growth analysis for the rest-of-Asia-Pacific data center liquid cooling sector, projecting trends through 2031. The report covers immersion cooling, direct liquid cooling, and rear-door heat exchanger technologies across markets outside China, Japan, and India. Rising AI compute density in Southeast Asia and Australia is cited as a primary growth driver.

Bitzero has partnered with Vertiv to deploy liquid cooling infrastructure for artificial intelligence and high-performance computing data centre facilities. Vertiv will supply thermal management systems designed for the dense power loads associated with GPU clusters and HPC racks. The partnership signals continued commercial momentum for liquid cooling vendors as rack densities in AI-focused facilities rise beyond the limits of traditional air-based systems.

EXTRCOOL has introduced a line of custom coolant distribution unit solutions designed specifically for AI data center liquid cooling deployments at scale. The systems target the growing demand for direct liquid cooling as GPU-dense AI clusters push air cooling past its thermal limits. The company positioned the CDUs as modular and adaptable for a range of rack densities and facility configurations.

A MarketsandMarkets report projects significant expansion in Mexico's data center direct-to-chip liquid cooling market through 2031, driven by hyperscaler and colocation investment flowing into the country as operators seek lower-cost capacity near US borders. Direct-to-chip cooling, which routes coolant directly to processors, has become the preferred thermal management approach for high-density AI server configurations. Mexico's growing role as a nearshore data center destination makes its cooling infrastructure trajectory increasingly relevant to North American capacity planning.

Rika, a sensor and monitoring company, has introduced a smart water quality monitoring system designed specifically for liquid cooling infrastructure in AI data centers. The system tracks parameters including pH, conductivity, and turbidity in real time to prevent equipment damage and maintain cooling efficiency. As direct liquid cooling adoption accelerates alongside high-density AI compute deployments, water circuit integrity has become a more frequent operational concern for facility managers.

Data centers being built in India for AI workloads are increasingly adopting liquid cooling systems as water scarcity limits the viability of traditional evaporative cooling, according to Indiatimes. Operators are weighing direct liquid cooling and immersion options against the country's uneven water availability across regions. The shift is driving design changes at facilities planned by both domestic operators and international companies entering the Indian market.

The global data center pumps market is forecast to reach $7.35 billion by 2032, according to a MarketsandMarkets report. Growth is driven by accelerating adoption of liquid cooling systems as AI workloads push rack densities and heat loads beyond the capacity of traditional air cooling. Pump systems are a core component of direct-to-chip and immersion cooling architectures now being deployed at scale.