Broadcom has devised innovative mechanisms to tackle the issues facing the development of an Ethernet-based fabric supporting AI workloads, offering solutions to alleviate congestion, latency, and prevent dropped frames or packets. These methods, which include a scheduling framework, cells, and credits, have been showcased at Network Field Day 32, demonstrating how Broadcom creates an Ethernet fabric optimized for AI via its Jericho3-AI and Ramon ASICs. By creating a scheduled fabric and dividing Ethernet frames into equal-size cells, Broadcom minimizes tail latency and optimizes load balancing, enhancing the handling of AI and HPC workloads. Read more in this article for Packet Pushers written by Drew Conry-Murray.
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A Look at Broadcom’s Jericho3-Ai Ethernet Fabric: Schedules, Credits, and Cells
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