For years, liquid cooling has dominated the spotlight as the industry’s innovative answer to rising AI-driven heat loads. But what was once viewed as an emerging technology has quickly become essential infrastructure inside modern high-density data centers.
As rack densities rapidly surpass 100kW – with some deployments pushing far beyond this threshold – the cooling conversation has shifted once again.
Today, the challenge is no longer simply how to deploy liquid cooling on day one – it’s designing systems that can scale efficiently for tomorrow, adapt to changing compute demands, and remain reliable over the long term.
As a result, reference architectures and modularization are emerging as essential tools for long-term success. Fluid quality, filtration, and material compatibility are also climbing the priority list as operators look to protect the longevity of compute infrastructure.
In a recent DCD>Broadcast episode, experts from nVent explore why liquid cooling is now unavoidable, and what it takes to build scalable cooling infrastructure capable of supporting the next generation of AI deployments.
