AI and Nvidia's Blackwell architecture are dominating conversations right now, with both heralding a future full of extraordinary potential. Blackwell will be the first widely deployed silicon to demand liquid cooling—a game-changer for data centers. But liquid cooling isn't a one-size-fits-all solution.
In this presentation, we'll explore the various types of liquid cooling technologies, the unique challenges AI workloads bring to data centers, and how liquid cooling effectively tackles these challenges. We'll cover everything from managing the immense heat output to best practices for deployment, design considerations, and how to smoothly transition from air to liquid cooling for a seamless and successful implementation.
Session Outcomes:
Understanding of the different liquid cooling topologies available
The cause that AI and AI hype is having on the data center market
Matt Archibald is the Director of Technical Architecture at nVent supporting the data center and networking space. Matt is deeply focused on liquid cooling (close-coupled and direct-to-chip), unified infrastructure management, data center monitoring, and automated data center infrastructure management.
Critical Considerations for Deploying Liquid Cooling in your Data Center
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Common design questions on solutions, services/support, and product implementation
Understanding of when and where the transition from air to liquid is taking place
Chris Hillyer is the global Director of Professional Services for the nVent Data Solutions business. He has worked in the IT, data center, and communications industry for 32 years understanding and leading industry change at some of the world’s largest compute installations.
Jason Matteson is a cooling solutions specialist. He has worked in the data center industry for 28 years, currently acting as Global Director of Product Management at nVent in the Data Solutions Group.