This podcast features a Q&A session with multiple panelists discussing network topologies, RDMA implementation, optical link flaps, and various aspects of network performance and congestion control. The panelists share their insights on the trade-offs between different network architectures like EOR, TOR, and spine-based topologies, and delve into the challenges of maintaining bandwidth consistency and stability in large-scale AI workloads. They also address specific questions about OCI's network architecture, Meta's DSF fabric, and the tuning of network parameters for different GPU types and cluster sizes, including the use of PFC, ECN, and credit-based congestion control mechanisms.
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