AI Speed Starts in the Data Center

About this episode

The episode discusses the challenges of AI infrastructure and data center design as enterprise AI workloads increase.

AI isn’t slowing down. Your data center is. As enterprise AI moves into real workloads, physical limits show up fast. Power. Cooling. Space. Timing. The conversation shifts quickly from what model to use to whether you can run it at all. In this episode, Schneider Electric CTO Jim Simonelli and WWT’s Chris Campbell talk through what happens when AI infrastructure, data center design and workload placement collide in production. Because “speed to first token” isn’t just about model performance...

People in this episode

Guests: Jim Simonelli, Chris Campbell

Topics covered

• AI infrastructure
• data center design
• enterprise AI
• workload placement
• model performance

Keywords

• AI
• data center
• infrastructure
• enterprise AI
• workload
• performance
• cooling
• power
• space

Mentioned in this episode

Organizations: Schneider Electric, World Wide Technology

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