AI Deployment Topology
The placement of AI compute across cloud services, company-controlled servers and devices close to users or data sources.
AI Deployment Topology is the placement of AI compute across cloud services, company-controlled servers and devices close to users or data sources.
It appears repeatedly across the KUOS case library because leaders need it at a real decision point: defining a boundary, assigning an owner, choosing evidence or deciding whether to scale.
Use it in practice by naming one current workflow, the accountable human, the evidence you expect and the condition that would make you change course.
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Ask FORGEOPTION A
Decision context
DECISION
Bounded options
OPTION B
Chosen route
AI HARDWARE
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Seen in cases
Real-world examples where this concept appears in our case studies.
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