A new technical analysis examines the infrastructure required for 10^24 floating point operations. The study focuses on interconnect bottlenecks and power constraints at extreme scales. It details how memory bandwidth limits current training efficiency. Engineers must now optimize cluster topology to prevent compute waste as model sizes continue to grow.