The Biggest Bottleneck in AI? Experts Break Down Data Center Challenges

Discover how experts prepare data centers for explosive AI growth. Learn about networking, data center liquid cooling, and AI talent needs.

In this Tech Unscripted episode, Cisco's Kate MacLean hosts leaders from ‪@worldwidetechnology‬ ‪@GEAerospace‬, ‪@GEVernova‬, and ‪@Microsoft‬ to discuss making AI-ready data centers. They share vital strategies for evolving network infrastructure to handle massive AI demands. The panel highlights that networks are the biggest bottleneck for AI. Current spine-leaf VXLAN architectures need huge bandwidth upgrades, moving to 400 or 800 gig. They also explain the shift to data center liquid cooling to manage the intense heat from AI workloads, changing how data center network designs are approached.

Beyond hardware, the discussion covers the critical need for AI talent upskilling. Engineers must learn new programming skills, and organizations need strong commitment and collaboration to succeed.

Ready to optimize your data centers for AI?

00:00 - Welcome & Panel Introductions
02:24 - Team AI Readiness
05:13 - AI Ready Meaning
08:39 - Cisco Tech
10:51 - Top Considerations to Prepare Data Center for AI
13:08 - Biggest Infrastructure Bottlenecks
16:09 - AI & Talent Gap
23:00 - AI Data Center Myths
24:43 - Advices to Prepare Data Center for AI

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