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Agentic AI Forces a Rethink of the Entire Infrastructure Stack

As AI systems move from discrete model inference to persistent, multi-step agentic workflows, the compute architectures, chip procurement strategies, and capacity planning assumptions built around GPU-centric training workloads are being structurally challenged.

2 signals tracked

  1. CPU shortage and Meta's Graviton deal rewrite AI infrastructure logic

  2. Agentic AI is forcing architectural and business model shifts across the stack