AI-Ready Data Center - Sustainability vs. Infrastructure Requirements - How to get your Data Center Ready for the Coming AImagedon - BRKGRN-2419#

Speakers: Christopher Liljenstolpe (Cisco), Heiko Ebermann (Vertiv), John Bean (GR Cooling)

• Why: The facility-side constraint on everything else in this program: the cited trajectory from 16–30 kW to 150–250 kW per rack over two years is an order-of-magnitude shift that reshapes what network (and compute) designs are even buildable.
• What: An exploration of how choices in rack power and thermal density ripple through facility design, and how AI can be used to optimize cooling energy, workload placement, and operating conditions — plus guidance on modernizing toward energy-efficient hardware and cooling systems. (from abstract only)
• How: A panel-style session (network vendor + cooling/infrastructure vendors) working through the power/thermal design space of AI-ready facilities and where energy-efficiency optimization (including AI-driven workload distribution and cooling control) can pay off.
• Where applicable: Datacenter planning and facilities engineering; the power trajectory figures are the transferable datapoints. Adjacent for this PM (facility, not network, engineering), but it's the physical envelope the AI-fabric sessions above must live within.