
The rapid proliferation of distributed intelligence has forced a fundamental recalculation of how global data centers communicate across fragmented cloud environments. For decades, networking was treated as a secondary utility—a set of pipes designed to carry static web traffic. However, the rise of large-scale model training and real-time inference has exposed the fragility of these legacy systems. As enterprises shift










