The AI revolution is an infrastructure revolution. The GPU clusters that train large language models consume more power than small cities. The cooling systems that keep them running are pushing the limits of air cooling physics. This part examines the infrastructure of the AI era — and what it means for the decisions being made today.
The physics of AI training — and why power density is the defining constraint
How submerging servers in liquid is solving the thermal problem of AI infrastructure
What executives, investors, and policymakers need to understand about the physical layer of AI