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Read the report Products Data and storage Infrastructure control Runtime acceleration Model and agent development Mission control Solutions Pricing Resources About us Contact us Login Contact us Login Clear Training a foundation model is, from the east-west fabric's point of view, a well-behaved problem. Thousands of GPUs run the same collective at roughly the same time, over and over, for weeks. It's brutal on bandwidth, but it's rhythmic. You can design around that rhythm. Agentic AI has a less predictable traffic pattern. An agent breaks a task into steps, calls a retriever, calls a tool, calls another model, sometimes calls another agent, and waits on each hop before it knows what the next one is. That serial path is an agent chain, and its latency is the sum of every hop rather than the worst one. 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