AI is now making its way to the marketplace in many industries, disrupting a data center sector that has been stressed in meeting the needs of traditional IT deployments. While many organizations are talking about preparing their data centers for AI or perhaps even entering the design stage, AI data center deployments are still uncommon, and the true demands are largely unknown. Chris McLean has hands-on, boot-on-the-ground experience managing the design and construction of multiple facilities meant explicitly for AI use cases, and will share his knowledge from such case studies in this special webinar presentation.

AI applications not only require more power, but they use power in a different way, which has major ramifications for other aspects of a data center build. In this webinar, you'll learn all about how those aspects play out in real-world examples. How much more power density do AI racks require? How does increased power density affect cooling design? How is the cabling of GPU clusters different? What does an AI-enabled system do to possible layout configurations? Join Chris as he takes you through all the challenges — and solutions — for next-generation data center builds.

• How to think about power requirements for AI racks
• Alternative cooling systems for AI use cases
• How larger cooling systems affect available space in an AI data center
• AI considerations for existing data center renovations compared to new, ground-up data center builds

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