Artificial Inertia Cooling Cells (AICell): A Planetary-Inspired Architecture for Sustainable AI Computing

Artificial intelligence systems are approaching physical and energetic limits not due to insufficient computational power, but due to the lack of environmental architectural stability. This work introduces the concept of Artificial Inertia Cooling Cells (AICell) — a planetary-inspired architectural class of computational environments designed to achieve stability through thermal inertia, phase-based heat buffering, and rhythm-aware load management. Instead of relying on active cooling or geographic relocation, AICell reproduces the stabilizing principles observed in planetary systems, allowing computation to operate within defined potential differential zones (PDZ) rather than at unstable peaks. The proposed framework does not present a finished engineering solution, but establishes a conceptual and architectural direction for sustainable AI infrastructure development. This work is intended for system architects, engineers, and researchers exploring environmentally aligned computing paradigms.