AI Factory Imperative Series: Physical Infrastructure Imperatives for Succesful AI Factory Implementations

The journey to building a successful AI factory begins with the physical layer.
As artificial intelligence reshapes the compute landscape — moving from traditional CPU servers to GPU-dense clusters consuming 10, 30, or even 100+ kW per rack — the fundamental design assumptions of the data center must evolve with it. 

In this opening session, Craig Fisher walks through the evolution of compute architecture and its cascading impact on every layer of the data center: from structural load requirements and rack design, to power distribution density and thermal rejection strategies. Attendees will gain a clear understanding of what AI is demanding from physical infrastructure — and what it takes to meet those demands. 

This session sets the foundation for the entire series, establishing the physical and architectural context from which every power and cooling decision flows.