Designing scalable agentic AI infrastructure for government

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Cloud Computing Documentation Data Center Content Library

928175
2026-09-10
Public

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As government agencies scale AI initiatives, success depends on more than model performance. This white paper explores how a local-first, hybrid agentic AI architecture can help organizations improve mission outcomes while maintaining security, data sovereignty, compliance, and operational continuity. It provides practical guidance for designing scalable AI infrastructure, optimizing CPU and GPU utilization, reducing token costs, and governing agentic workflows across edge, data center, and cloud environments.

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