
AI workloads require a fundamentally different cost model than traditional cloud, where architectural decisions and prompt size directly impact spending. Grant Byrum of Accenture advocates for use case forecasting based on planned users and prompts, plus real-time governance to catch cost spikes within days instead of months.
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