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Broadcom offers scheduled fabric solutions, with a focus on switch-based architecture using the Jericho and Ramon families. This architecture ensures congestion-free operations and perfect load balancing for AI workloads. The leaf devices handle switch functionality, lookup, queuing, and scheduling, while the spine devices interconnect the leaf devices and are optimized for AI workloads. The fabric allows for traffic segmentation and reassembly in cells, with hardware-based mechanisms ensuring no impact from network failures. The scalable architecture can support networks ranging from a few hundred boxes to tens of thousands, with the latest generation devices allowing for scaling from 18K to 32K nodes and 400GB to 800GB Ethernet. It provides multi-tenancy and job isolation for AI clusters, and offers hardware-based telemetry and diagnostic tools for visibility into network performance. The future-proof design ensures adaptability to evolving AI models and workloads.
Personnel: Henry Wu
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