AI Data Center Networks - Design and Infrastructure Requirements for Modern Training and Inference

Learn about modern AI data center network infrastructure design in this 48-minute NANOG conference talk presented by Juniper Networks experts Michal Styszynski and Mahesh Subramaniam. Explore GPU-to-GPU connect training cluster configurations and inference fabric design options essential for contemporary AI workloads. Gain insights into fabric-level load balancing techniques, ROCEv2/DCQCN protocols, and data center fabric traffic engineering strategies. Benefit from the extensive industry experience of the speakers, who bring over a decade of expertise in data center networking, cloud architecture, and telecommunications infrastructure development. Master the latest requirements and best practices for building robust network infrastructures capable of supporting demanding AI applications and workloads.