To run AI workloads, a network needs thousands of GPUs and those GPUs must operate in sync. If there is congestion or dropped frames, very expensive efforts could be delayed or disrupted. While there are advantages to using Ethernet for AI networking (including engineers well-trained in the protocol and a robust ecosystem), it wasn’t designed
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