Test & measurement
DYNAMIC FACILITIES DEMAND DYNAMIC MEASUREMENTS
AI workloads are fundamentally different from traditional data centre workloads. AI training jobs are intensive and intermittent. A cluster transitions from idle to full training load in minutes, generating a step change in thermal output that the cooling system must respond to in real time. The CDU managing that cluster needs to control the cooling loop instantly and continuously, rather than with a delay of several minutes. It must ensure that supply and return temperatures are within limits, pressure and flow rates are as they should be, and the ambient dew point near the cold manifolds stays within tolerance as the system heats up.
Reliable measurements make dynamic control possible. Without accurate real-time data on critical parameters across the facility, the control systems are operating on delayed or inaccurate information. The consequences cascade: inefficient cooling wastes energy, inadequate cooling risks hardware, and overcorrection wastes both.
Every percentage point of efficiency improvement in a facility running hundreds of kilowatts per rack translates directly into operating cost and carbon impact. That connection between measurement quality and operational outcome is what makes getting the instrumentation right a business decision, not just a technical one.
WHAT THE NEXT GENERATION WILL REQUIRE
The direction from here is more of everything that is already challenging. Rack densities will continue to increase. Each step in this progression adds measurement requirements that do not yet have the benefit of decades of industry practice behind them.
Reliable measurements are the foundation on which everything else is built. They allow cooling systems to be controlled precisely rather than conservatively, and energy efficiency targets to be achieved rather than merely aspired to. They give operators confidence that both the cooling infrastructure and the computer hardware it serves are operating within safe parameters. And they provide the early warning that separates a recoverable problem from an expensive one.
Without trustworthy measurements, a liquid- cooled data centre is operating on assumptions. And at these rack densities, assumptions are expensive. The industry is still building its understanding of what rigorous measurement looks like in this environment. That understanding is where the hard work of the next phase begins.
Vaisala
www.vaisala.com Instrumentation Monthly October 2026 35
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