
The ever-increasing reliance on artificial intelligence, machine learning applications, and data-heavy operations demands an unprecedented level of efficiency and adaptability from data centers worldwide. As these digital hubs grapple with escalating data volumes and the unpredictable nature of modern workloads, traditional network architectures have reached critical inflection points. Historically, these systems were perceived as remarkably efficient. Yet, the stagnant and