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AI Strategy Has a Blind Spot: The Network

Enterprises are pouring billions into GPUs and AI compute, but most are overlooking the infrastructure that connects it all. Justin Ryburn, field CTO at Kentik, makes the case that the network is the most underestimated variable in whether AI initiatives succeed or fail.

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AI Strategy Has a Blind Spot: The Network
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Key points and analysis

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Key points

  • Only 28% of AI use cases fully succeed; one in five fails outright, often due to network unpreparedness.
  • AI training traffic is east-west and highly sensitive to packet loss; just 0.1% loss can reduce GPU utilization by over 13%.
  • Inference is shifting to the edge, requiring visibility across cloud regions, WAN links, and peering points.
  • Organizations need real traffic visibility, treat the network as part of the AI stack, and plan for distributed inference.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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