Hybrid infrastructure decisions put AI costs and control in focus
As enterprise AI adoption matures, organizations are entering a cost-conscious phase where hybrid infrastructure becomes central to decision-making. Key factors include where models run, which models to deploy, and data governance implications. Rising inference spending is forcing business leaders to weigh control, performance, and costs across their AI initiatives.
Key points
- Inference spending is climbing and reshaping enterprise AI buying decisions
- Organizations are evaluating hybrid infrastructure for cost and control trade-offs
- Data residency and model selection are becoming critical strategic choices
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