Summary
The increasing demands of AI, including continuous inference and real-time data pipelines, are exposing the limitations of traditional network architectures, which were not built to handle unpredictable, always-on traffic. This shift necessitates AI-ready networks that can adapt in real time and meet stringent low-latency requirements, posing a significant challenge for enterprises still relying on legacy infrastructure.