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AI infrastructure has moved from experimentation and hyperscale training buildouts into a more complex deployment phase. Customers are no longer asking whether AI demand is real, they are asking where workloads land, how much power they can secure, what density they can support, how to avoid stranded capital, and how to optimize AI outcomes. In this episode, Vertiv CEO Giordano Albertazzi will sit down with DCD CEO Dan Loosemore to discuss what the next challenges in rapid AI deployment will be, and what organizations should be doing now to prepare. They will explore:
- The key forces reshaping infrastructure: density, speed, scale, complexity and dynamic load profiles
- The industry's shift from a megawatt-centric view of AI infrastructure to maximizing AI outcomes, performance and tokens per second per megawatt
- How the problems being solved across hyperscalers, NeoClouds, colos and enterprises differ
- How the infrastructure ecosystem is changing from product selection to validated system architectures
