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...
More episodes of AI Proving Ground Podcast: Exploring Artificial Intelligence & Enterprise AI with World Wide Technology
- Your AI Looks Smart. Your Data Disagrees.
- From AI Demo to Production Systems You Can Trust
- AI Is Writing Code Faster Than You Can Review It
- Before You Scale AI, Fix Your Data
- AI Doesn’t Break Where You Think: How Storage and Data Readiness Now Decide AI Success
- Agentic AI at Scale: How to Build Without Losing Control
Explore listener stats, chart rankings, contacts and more on the AI Proving Ground Podcast: Exploring Artificial Intelligence & Enterprise AI with World Wide Technology podcast page.