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Liquid cooling is becoming a strategic requirement for some AI and high-performance computing deployments because their concentrated, synchronized heat loads can exceed what a conventional air-cooled room was designed to remove. That does not make liquid cooling necessary for every data center: workload density, existing infrastructure, climate, deployment scale, and operational readiness determine whether air, liquid, or a hybrid system is the right fit.

Why AI changes cooling from a facilities detail into a deployment constraint

Cooling sets a practical limit on how much computing equipment a site can install, power, and operate safely. Conventional CPU-based facilities at moderate rack densities can often continue using air cooling. AI training and HPC clusters, by contrast, can concentrate substantial power in a small number of racks and run equipment at high utilization for long periods. The resulting thermal load can overwhelm room-level air systems designed for older, lower-density deployments.

ASHRAE’s Integrated Design Principles | AI Data Center Energy Performance Framework describes high-density AI racks as often falling in the range of 30–100+ kW per rack. Its Retrofit & Modernization Strategies guidance contrasts traditional facilities commonly designed around 5–10 kW per rack with AI training deployments that can require 100 kW or more per rack. These are contextual ranges, not a universal conversion threshold: the actual requirement depends on the equipment, rack layout, and facility design.

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When cooling cannot keep up, the consequences are not limited to room temperature. A site may have to restrict how much equipment runs at once, delay a cluster rollout, or redesign power and mechanical systems. ASHRAE therefore treats AI-facility cooling as an integrated architectural, electrical, and mechanical design decision, including planning for future computing growth.

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What air, direct-to-chip, hybrid, and immersion cooling do

Approach How heat is handled Where it can fit
Air cooling Room-level systems move heat from IT equipment into air and reject it from the facility. Many conventional and lower-density workloads where the installed air system can handle the thermal load.
Direct-to-chip liquid cooling Cold plates bring coolant close to heat-producing processors. A coolant distribution unit (CDU), piping, and manifolds circulate coolant and transfer heat to a facility heat-rejection system. High-density deployments where processor heat is difficult to remove with room air alone.
Hybrid cooling Direct-to-chip loops remove heat from processors while air systems handle residual heat from components such as memory, power supplies, storage, and networking. One retrofit path that can retain existing air-cooling infrastructure while adding liquid cooling for the hottest components.
Immersion cooling IT equipment is immersed in dielectric fluid, using an architecture distinct from cold-plate systems. An option to evaluate against the equipment and site; it has different maintenance, logistics, and infrastructure implications.

In ASHRAE’s stated hybrid approach, residual loads handled by air are characterized as 10–30% of the total. That figure belongs to the framework’s context; it should not be treated as a fixed proportion for every rack or retrofit.

Direct-to-chip cooling is not a standalone device added to a rack. Its performance depends on the complete path from chip to cold plate, coolant loop, CDU, and heat rejection. Schneider Electric’s 2025 white paper, Direct Liquid Cooling System Challenges in Data Centers, describes direct liquid cooling as a preferred method for extreme chip power densities while emphasizing that specification, installation, and operations bring their own challenges.

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When air cooling remains a sensible choice

Air cooling remains appropriate when rack densities and heat loads fit the facility’s existing design and the target IT equipment can operate reliably within it. A site does not need to replace a working air system simply because it plans to host some AI workloads. The decision should be based on the density distribution across the planned deployment, not on the label “AI” alone.

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ASHRAE’s retrofit guidance recommends considering hybrid cooling rather than abandoning existing air-cooling investments: direct-to-chip systems handle processor heat, while CRAC/CRAH air systems continue to remove residual heat from other components. For high-density clusters—for example, above 50 kW per rack—the guidance says not to rely on air alone. This is a planning signal, not a guarantee that every rack above or below that figure requires the same architecture.

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How to choose a cooling architecture for an AI deployment

ITU-T Recommendation L.1327, Guidelines on the selection of cooling technologies for data centres in multiple scenarios (August 2024), frames cooling selection as a match between complete systems and application scenarios. Use the following questions to make that match concrete:

  1. Map actual rack densities and equipment. Identify the expected load for each rack and the target IT platform. An average can conceal a small number of very hot racks that need a different treatment from the rest of the room.
  2. Check facility compatibility. Inventory available water connections and loops, existing air capacity, and the changes needed to connect IT-side liquid systems to facility infrastructure.
  3. Plan the heat-rejection route. Compare available options, such as dry coolers, high-temperature chillers, or hybrid arrangements, against local climate, footprint, and redundancy requirements. A warm-water loop or dry cooler may reduce reliance on chillers and evaporative cooling in suitable conditions, but it is not a universal water- or energy-saving guarantee.
  4. Match design to rollout scale and timing. Consider deployment size, installation speed, retrofit disruption, and whether equipment serves one rack or several. Schneider Electric’s 2026 article, Designing the modern AI cooling stack, describes liquid-to-air CDUs as a possible fit for smaller, faster rollouts and floor-mounted CDUs as an option serving multiple racks. Those are vendor perspectives, not vendor-neutral guarantees of cost or performance.
  5. Set energy and water goals together. Evaluate the full cooling and heat-rejection system, including water use and opportunities for heat reuse where relevant. Efficiency outcomes depend on site conditions and design assumptions; do not infer them from the cooling medium alone.
  6. Assess resilience and failure impact. Determine what happens if a CDU or shared loop fails, how many racks it affects, and what redundancy and recovery procedures are required.
  7. Confirm facility capacity and operating readiness. Check electrical coordination, structural loads, maintenance access, fluid monitoring, leak safeguards, commissioning plans, and staff training before committing to the design.

Schneider Electric’s 2026 article reports three figures from AFCOM’s 2026 State of the Data Centre Report: average rack density rose from 16 kW to 27 kW in one year; 72% of operators expect AI workloads to increase data-center capacity requirements; and more than 60% of organizations already use liquid cooling or plan to adopt it within two years. These figures are attributed to AFCOM through Schneider Electric’s article; the figures were not independently verified against the original report here. They indicate reported industry expectations, not a requirement that every operator adopt liquid cooling.

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What an existing data center needs to retrofit

A retrofit can add direct-to-chip cooling while preserving air systems for residual heat, but it is an infrastructure project rather than a simple equipment swap. The site needs a workable connection between the rack-level coolant loop and the facility’s heat-rejection equipment, plus enough physical and operational capacity to run the new system.

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  • Structural review: ASHRAE notes that fully loaded liquid-cooled racks can exceed 1,800 kg (4,000 lb). Verify floor loading and the route for moving equipment into position.
  • Electrical and mechanical coordination: Confirm capacity, layout, piping routes, access, and the effect of planned cooling equipment on existing systems.
  • Commissioning: Test the integrated loop and controls before production use; define how the system behaves under expected AI load patterns and during faults.
  • Operations and maintenance: Establish procedures for coolant monitoring, leak detection, inspection, servicing, and incident response. Train operators who may be familiar with air systems but not liquid loops.
  • Heat rejection and resilience: Choose an approach suitable for local climate and redundancy needs, and understand the impact radius if a shared CDU or loop is unavailable.

The retrofit’s scale and disruption depend on existing water and air infrastructure, rack layout, and the number of liquid-cooled racks. A hybrid design can preserve useful air-cooling assets, but it still requires integration, commissioning, and a clear operating model.

Why liquid cooling is strategic, but not universal

Liquid cooling is strategic because it can make higher-density AI deployments feasible where air systems are the limiting factor. It also changes what must be coordinated: rack and chip selection, facility water, heat rejection, power, structural loading, resilience, and the skills of the operations team. Choosing a cooling method without those connected decisions risks solving only one part of the deployment problem.

The right outcome may be air for conventional workloads, direct-to-chip liquid for the densest racks, or a hybrid architecture across one facility. Immersion is another option to assess where its distinct infrastructure and operational needs suit the application. None is automatically best for every site; the system should be selected for the workload and facility together.

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