Your Agent Is Only as Good as Your Infrastructure
CoreWeave, Tuesday, July 28th, 2026
CoreWeave opens a three-part series arguing agent performance depends on infrastructure, not just model quality.
CoreWeave begins a three-part series on agentic AI with the argument that production agents depend on far more than model quality.
Multi-turn tool calls multiply the number of round trips, bursty demand patterns break capacity assumptions built for steady inference, and tail latency compounds across a chain of steps.
The post explains how those characteristics shape infrastructure requirements differently from single-shot inference. It sets out what to measure before blaming the model for poor agent behaviour. Later parts of the series build on this foundation.