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Freedom251 › Blog › AI infrastructure

How to Compare Data Center Cooling Methods for AI Workloads

By Freedom251 Team · · 12 min read

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There is no universally best AI cooling method. Compare the complete thermal system: server-side heat capture, coolant temperatures, the coolant-distribution unit (CDU), facility loops, heat-rejection equipment, climate, water boundary, redundancy and operating controls. Air cooling can remain the right answer at moderate rack densities; direct liquid cooling is often needed as component heat flux and rack density rise, but it may still leave room heat for air systems. Measure energy and water over a representative year, under the same boundary and workload, before choosing an architecture.

What you are actually comparing

A label such as “air-cooled,” “liquid-cooled” or “evaporative” describes only part of a data center’s heat path. A fair comparison follows heat from the transistor to the outdoors:

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  1. IT heat capture: How do processors, memory, storage and power supplies transfer heat into air or liquid?
  2. Distribution: What pumps, fans, CDUs, pipes, heat exchangers and controls move that heat?
  3. Heat rejection: How does the facility discharge heat to ambient air, water or another sink?
  4. Operations: What happens at peak load, during a pump or fan failure, in extreme weather and during maintenance?

Direct liquid cooling can reduce the distance and temperature difference between the component and the facility loop, but it does not eliminate the need for a heat-rejection plant. A liquid-cooled rack may also need room air cooling for drives, memory, networking equipment or the fraction of server heat not captured by cold plates. Conversely, a well-designed air system can outperform a poorly controlled liquid system when rack loads, climate and operating practices favor it.

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Use equipment documentation and a year-long model or measured data for the specific site. A generic “watts per rack” changeover point, universal water-saving percentage or guaranteed payback is not established by the available guidance.

Start with rack density and equipment requirements

Use density as a design signal, not a rigid cutoff

ASHRAE’s AI Data Center Energy Performance Framework says: “For purpose-built AI data centers where compute densities routinely exceed 50–120 kW per rack and have the potential to trend higher, utilize a TCS.” A technology cooling system (TCS) is a dedicated approach for high-density IT heat removal. This is framework guidance for purpose-built AI facilities, not a universal threshold that automatically rules out air cooling for every server or building. Read the context on ASHRAE’s Energy and Thermal Efficiency page.

Inventory the proposed equipment before selecting cooling:

  • Peak and sustained rack power, not only the average nameplate value.
  • Processor, accelerator, memory and networking heat that a liquid loop will actually capture.
  • Rack dimensions, airflow direction, allowable inlet temperature and fan-power limits.
  • Liquid connection locations, flow rate, pressure drop, coolant chemistry and leak-detection requirements.
  • Expected growth: a rack that is acceptable today may need liquid capability when accelerators are upgraded.

The U.S. Department of Energy’s Best Practices Guide for Energy-Efficient Data Center Design and the server manufacturer’s installation requirements should govern the detailed design.

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Separate component cooling from heat rejection

DOE defines direct liquid cooling as transferring IT heat into a recirculating chilled-water loop rather than first transferring it to room air. A CDU commonly separates or interfaces the IT loop and facility loop, controlling temperature, pressure, flow and water quality. The facility still must reject that heat through a dry cooler, cooling tower, chiller, thermosyphon, heat exchanger or a combination.

Possible IT-loop fluids include treated water, glycol-based solutions and dielectric fluids. The choice affects heat capacity, materials compatibility, filtration, maintenance and leak consequences. “Closed loop” describes recirculation; it does not prove that the facility consumes no water, because an open cooling tower or adiabatic heat-rejection stage may still use site water.

Compare the main cooling architectures

Architecture How heat is captured Where it fits Key trade-offs to verify
Air cooling with airflow management Server fans move heat into room air; computer-room systems condition and circulate that air. Low to moderate rack densities, existing facilities and equipment specified for air. Fan energy, containment quality, room heat removal, temperature setpoints and residual capacity at peak load.
Direct liquid, cold-plate Cold plates remove heat from processors or accelerators into an IT liquid loop; air usually handles residual components. High-compute-density racks where air alone would require excessive airflow or supply volume. CDU capacity, hoses and manifolds, coolant chemistry, leak detection, service procedures and remaining room load.
Immersion liquid cooling Servers or components are immersed in a dielectric fluid that absorbs heat. Purpose-built systems designed around immersion tanks and fluid handling. Equipment compatibility, fluid management, service workflow, tank access, filtration and heat-exchanger design.
Hybrid liquid and air Liquid captures a defined portion of IT heat while air removes the rest and conditions the room. Mixed fleets, phased retrofits or designs where not every component supports liquid. Accurate split of liquid and air loads, controls, room setpoints and simultaneous failure modes.

DOE discusses cold-plate and immersion technologies and the CDU interface in its Cooling Water Efficiency Opportunities for Federal Data Centers. The percentage of heat captured by liquid is design-specific; do not assume that a “liquid-cooled” label means all rack heat leaves through liquid.

Air cooling and airflow management

Air systems are more than a chiller and a row of servers. Hot-aisle or cold-aisle containment, blanking panels, cable management, pressure control and correctly sized fans determine whether supply air reaches the inlet without recirculation. Excessively low temperature setpoints and unnecessarily tight humidity bands increase cooling energy and can increase water use, according to DOE.

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Air cooling can be attractive when rack loads fit the server’s inlet-temperature and airflow limits, when the facility has usable economizer hours, or when a retrofit cannot support liquid distribution. Its limitations appear as rack density rises: more airflow, larger ducts, higher fan power and a greater risk that a local hot spot will exceed the equipment limit. There is no single watt-per-socket or rack number that applies to all air-cooled designs.

Direct liquid cooling

Cold plates place the heat exchanger close to the highest-power devices, reducing the air volume needed for those components. A CDU typically transfers heat between the IT loop and a facility loop while maintaining the IT side’s pressure, temperature and water quality. Liquid systems can support higher supply temperatures than conventional chilled-water designs, potentially enabling more hours of dry heat rejection or heat reuse.

Liquid introduces additional interfaces and failure modes: quick-disconnects, manifolds, pumps, sensors, filtration, coolant treatment and leak detection. Plan how technicians will isolate a rack, replace a cold plate, drain or refill a loop and handle a leak without taking down unrelated capacity. If only processors are liquid-cooled, model the remaining air load rather than removing room cooling from the design.

Evaporative, dry, adiabatic and hybrid heat rejection

Evaporative towers reject heat by evaporating water. Dry coolers pass ambient air over a heat exchanger and can avoid routine evaporative consumption, but their fan power and capacity depend strongly on outdoor conditions. Adiabatic systems spray or wet a heat exchanger during selected conditions; hybrid systems switch between dry and water-assisted modes.

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An April 2026 Uptime Institute briefing reports that, in its examined sample and conditions, well-designed dry and adiabatic systems could match evaporative PUE across ASHRAE climate zones 2–6 with zero or near-zero water consumption. That is a result for the briefing’s systems and assumptions, not a guarantee for a proposed site. Ask for climate-specific annual modeling and disclose the operating mode, water boundary and load profile. Read the analysis at Uptime Institute’s dry-cooling performance briefing.

Check coolant-temperature compatibility

ASHRAE liquid-cooling classes describe increasing upper supply-temperature limits: W17, W27, W32, W40, W45 and W+, with W+ extending beyond 45°C. The class is not a blanket approval for every server or loop. Confirm the actual equipment’s allowable inlet temperature, minimum flow, maximum pressure, coolant chemistry, conductivity, filtration and connection standard.

Item to verify Why it matters
Supply and return temperature Determines whether dry, evaporative or heat-reuse operation is possible and whether components remain within warranty limits.
Flow and pressure Insufficient flow causes thermal excursions; excessive pressure can damage interfaces or trigger leaks.
Coolant chemistry Corrosion, biological growth, conductivity and material compatibility affect reliability and maintenance.
Residual air load Fans, memory, storage and networking may still heat the room even when processors use liquid.
Controls and alarms Temperature, flow, leak and CDU alarms need defined setpoints, escalation and safe shutdown behavior.

ASHRAE’s Tools, Standards, and Resources page and its AI Data Center Framework introduction provide the broader framework. Obtain the current design documents for the specific IT platform before fixing a loop temperature.

Measure energy and water on the same boundary

PUE: total facility energy divided by IT energy

Power Usage Effectiveness (PUE) is annual total facility energy divided by annual IT-equipment energy. It includes cooling, power distribution, lighting and other facility loads. Compare the same boundary, period and IT load; a partial mechanical boundary or a lightly loaded building can make a result look better than an operationally comparable site.

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WUE: site water divided by IT energy

Water Usage Effectiveness (WUE) is annual site water use in liters divided by IT-equipment energy in kilowatt-hours. State whether the numerator includes potable water, reclaimed water, cooling-tower makeup, adiabatic sprays, blowdown, treatment water or only a narrower site boundary. A closed process loop can coexist with significant tower or adiabatic consumption.

Use a broader scorecard

ASHRAE also identifies water usage intensity (WUI), carbon usage effectiveness (CUE), data-center reuse effectiveness (DCRE) and IT Work Capacity as useful metrics. Select definitions before collecting data. Include the useful compute delivered, not only the facility overhead, when two systems support different temperatures, uptime reserves or rack utilization.

Axis Questions to answer
IT and rack compatibility What density is sustained and transient? How much heat is captured by liquid? What room heat remains?
Energy What are annual PUE, IT energy, fan, pump, chiller and economizer loads at the planned utilization?
Water What is annual site WUE, the source of water, the treatment requirement and the discharge or blowdown volume?
Climate How many hours support dry operation, adiabatic assistance or free cooling at the selected temperatures?
Resilience What fails when a CDU, pump, fan, tower cell, control network or water supply is unavailable?
Deployment What modifications are required for a greenfield build versus a retrofit, and how does the design expand?
Environmental and useful work Can the design report CUE, WUI, DCRE, heat reuse and IT Work Capacity with clear boundaries?

Interpret facility examples correctly

DOE reports a PUE of 1.06 and WUE of 0.7 for the National Laboratory of the Rockies data center’s thermosyphon hybrid system. The described system combines direct liquid cooling with air-cooled heat rejection and an open cooling tower. Those are measurements or reported results for that facility and configuration, not typical values or guarantees for every thermosyphon, liquid or hybrid design. See DOE’s cooling-water guidance and verify the original study’s units and boundary before using the figures in a comparison.

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Account for climate and annual operation

Outdoor temperature and humidity determine when a dry cooler, economizer or adiabatic stage can meet the required supply temperature. A system that looks efficient at design-day conditions may spend most of the year in a different mode. Conversely, a higher-temperature liquid loop may unlock more dry hours but require equipment rated for that temperature.

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Request a 8,760-hour model or measured annual data with:

  • Hourly weather for the actual site or a clearly identified climate year.
  • IT load by rack, including accelerator utilization, idle periods and growth cases.
  • Supply and return temperatures, fan and pump curves, chiller staging and economizer logic.
  • Water makeup, blowdown, adiabatic operation and treatment loads.
  • Redundancy operating states, maintenance bypasses and extreme-weather derates.

Uptime Institute’s 2026 cooling survey and analysis show variation within cooling categories and climates; configuration, free-cooling utilization and operating discipline can matter as much as the technology label. The survey page reports 1,034 respondents, a sample size rather than the market share of any cooling method. See the 2026 Cooling Systems Survey.

Evaluate resilience, maintenance and people

Design failure behavior

Document N, N+1, 2N or another redundancy target for chillers, dry coolers, pumps, CDUs, controls and electrical feeds. Test what happens when one element is isolated. A liquid loop may continue serving healthy racks while a CDU is bypassed, or it may require a controlled shutdown; the answer depends on the architecture.

Control water quality and leaks

Specify filtration, sampling, corrosion control, conductivity limits, fill and drain procedures and disposal. Put leak sensors where a small release can reach power or network equipment, and define automatic isolation versus alarm-only behavior. Commission sensor calibration and alarm routing, not just mechanical installation.

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Commission control sequences

Hybrid systems add control loops that determine when fans, pumps, towers, dry coolers and adiabatic stages operate. DOE notes that the thermosyphon hybrid example requires attention to control sequences and operating plans. Test normal, transition, sensor-failure and weather-limit states under load.

Plan operator capability

Operators need training for coolant handling, CDU service, water treatment, controls, lockout procedures and recovery after leaks or loss of heat rejection. Include spare hoses, pumps, sensors, filters and compatible coolant in the maintenance strategy. A lower modeled PUE is not useful if the facility cannot maintain the system safely.

A repeatable comparison procedure

  1. Define the workload: list accelerator and CPU models, rack count, sustained and peak power, utilization pattern, deployment date and growth assumptions.
  2. Map the heat path: quantify liquid-captured heat, residual room heat, CDU losses, pump and fan loads, and the complete heat-rejection chain.
  3. Set equipment limits: record approved air inlets, W-class or other liquid limits, flow, pressure, chemistry and connection requirements for every platform.
  4. Create like-for-like cases: model air, direct liquid, hybrid and relevant heat-rejection options with the same IT load, availability target, climate year and facility boundary.
  5. Calculate annual results: report IT energy, total facility energy, PUE, site water and WUE by operating mode; add CUE, WUI, DCRE or IT Work Capacity only when definitions and data are clear.
  6. Stress the design: test design-day heat, cold or humid weather, water restrictions, loss of a redundant component, controls failure, maintenance bypass and a rapid load step.
  7. Price the whole project: include building modifications, distribution, CDUs, heat rejection, water treatment, controls, commissioning, spares, labor and expansion—not only the server-side equipment.
  8. Verify with evidence: require vendor submittals, equipment compatibility letters, modeled assumptions, measured references with boundaries and a commissioning plan.
  9. Choose and monitor: select the option that meets thermal, resilience, water and energy requirements, then meter rack heat, facility energy, water, temperatures, flow and alarms so the operating result can be checked.

Decision patterns for common projects

New, high-density AI building

Start with a TCS-capable design, high-temperature liquid options and a heat-rejection plant that can operate efficiently in the local climate. Reserve space and connections for expansion, and keep an air path for residual heat and non-liquid equipment. Compare dry, evaporative and hybrid rejection using annual water and energy results.

Mixed legacy and AI retrofit

A hybrid architecture often avoids replacing every rack. Isolate liquid-capable rows, retain containment for air-cooled equipment and size room systems for the residual load plus legacy racks. Confirm floor loading, pipe routes, service clearances, electrical capacity and water-treatment access before committing.

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Water-constrained site

Set a site-water boundary and limit before selecting equipment. Examine dry and hybrid modes, higher liquid supply temperatures and non-evaporative heat rejection, then quantify the added fan or pump energy and hot-weather derating. Near-zero routine water use in one climate does not establish the same result at another site.

Existing air-cooled facility with rising rack density

First improve containment, airflow balance, temperature setpoints and monitoring. If the resulting rack-level temperatures or airflow requirements remain unacceptable, compare targeted direct-liquid retrofits with a broader plant upgrade. Do not remove room cooling until residual heat is measured.

Pitfalls that invalidate comparisons

  • Comparing labels instead of systems: “liquid” can mean cold plates, immersion or a hybrid with substantial air cooling.
  • Using a single rack threshold: equipment, airflow, temperature class and facility constraints vary.
  • Reporting PUE without WUE: a lower energy ratio can coincide with higher water consumption.
  • Calling liquid water-free: the facility heat-rejection plant and site-water boundary still matter.
  • Applying one site’s result elsewhere: climate, load, controls and measurement boundaries change annual performance.
  • Ignoring partial load: fixed pump, fan, tower and control loads can dominate when AI utilization is low.
  • Omitting commissioning: poor sequencing, sensor errors or disabled economizers can erase modeled savings.
  • Quoting unsupported savings or payback: no universal AI cooling savings statistic, current installed-cost comparison or payback period is established here.

The most defensible comparison names the equipment, climate, load, operating modes, redundancy, measurement boundary and whether each number is modeled or measured. It then reports energy, water, resilience and useful compute together rather than selecting a winner by technology name.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

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AI infrastructureAir CoolingData Center Designdata-center coolingLiquid CoolingPUEWUE

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