Large-scale AI models impose stringent performance- reliability- and management requirements on underlying networking infrastructure. Network operating systems like SONiC must evolve to meet these demands effectively. This talk identifies the challenges posed by AI workloads- discusses strategic pathways for enhancing SONiC to address these challenges- and showcases specific technologies as exemplars of these advancements. Join us to explore how SONiC can evolve to support robust network infrastructure for AI workloads- ensuring scalability- efficiency- and seamless integration with modern AI-driven applications.
