Networking for AI: Building the foundation for real-time intelligence

The article discusses the importance of networking infrastructure for real-time AI applications, using the example of the Ryder Cup event. It highlights the need for AI inference-ready networks to handle the massive data volumes required for AI workloads. The piece emphasizes the shift towards distributed, real-time AI applications and the challenges traditional enterprise networks face in supporting AI requirements. It also explores the concept of physical AI and the trend of deploying edge-based AI clusters for faster processing. The article concludes by discussing the evolving relationship between networking and AI, envisioning a future of self-driving networks that leverage AI for efficient management.