Liquid cooling in AI data centers: What changes when the coolant reaches the chip

Data center dark corridor
Buildings and Indoor Air Quality
Industrial Measurements
Two time options

The shift to AI workloads has pushed rack power densities to levels that air cooling alone simply cannot handle. For HVAC engineers and data center operators, this transition changes not just the cooling architecture — it changes the entire measurement picture.

This webinar cuts through the hardware conversation to focus on the instrumentation layer: what you need to measure, where the new risks are, and why sensor quality matters more, not less, as densities rise.

What you will learn:

  • Why different liquid cooling systems create distinct measurement requirements
  • What long-term sensor stability data reveals that specification sheets do not
  • How to design measurement infrastructure that adapts as cooling architecture evolves

This webinar is for you if:

  • You are designing or specifying measurement systems for data centers transitioning to hybrid or full liquid cooling
  • You manage environmental monitoring for facilities running high-density AI workloads
  • You want to understand the engineering case for sensor quality investment beyond initial accuracy specs
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Kai Järvensivu

Speaker


The webinar is hosted by Kai Järvensivu, who represents Global Product Management at Vaisala Industrial Measurements. He has comprehensive experience in mechanical engineering and extensive expertise in data center cooling solutions.

Find Kai in LinkedIn