AI workloads demand massive data transfers, low latency, and high internal traffic, exposing limitations in traditional data center networks. Previously, system administrators spent time every day monitoring logs, updating, processing alerts, restarting hung services, and other routine operations. Now AI takes the bulk of this work on itself, acting as a 24/7 duty operator. Such is the pace of innovation in AI systems that every year since 2020 could have easily been deemed “The Year of AI. With advancements in artificial intelligence (AI) and machine learning, enterprise servers have become extremely power-hungry as they simultaneously process a large amount of data and storage. The steady-state power rating of each server motherboard has gone up to 5kW or 6kW, in contrast to 1kW or. Artificial intelligence (AI) was once a concept of the future but is now a reality that continues to transform the way businesses work in today's fast-paced tech world. Key challenges include east-west bottlenecks, jitter, congestion, security gaps, and insufficient real-time monitoring. Industry leaders address these issues. AI accelerators operate at extremely low voltages while demanding unprecedented current levels. Power-focused test systems are emerging as strategically.