Working paper develops a grammar for placing AI infrastructure in regions, indicating boundaries and functions for diverse systems.
This working paper develops AXION Terra Topology as a regional placement grammar for hardware-agnostic AI infrastructure. The framework does not define a geographic map, facility siting decision, civil-engineering plan, zoning approval process, device-control layer, cloud deployment plan, or public-administration engine. It defines a non-executable grammar for positioning data centers, public facilities, industrial demand sites, agricultural demand sites, urban demand points, heat-demand references, edge nodes, backup nodes, vault preservation zones, and link corridors without collapsing those layers into one platform, one authority, one provider-controlled infrastructure, or one automatic execution system. Terra Topology extends AXION from the seven-axis Coordinate Matrix and the Essential Terra Core implementation layer into the spatial and functional placement problem of regional AI data infrastructure. It explains how node positions, data locations, authority conditions, state references, evidence references, result references, and preservation rules may be related to local facilities while preserving non-substitution boundaries. The framework preserves strict separation among geographic placement, institutional procedure, technical connectivity, data reference, public authority, energy relevance, evidence relation, and external effect. A public facility zone does not become public authority; an industrial demand zone does not become industrial control; a heat-demand zone does not confirm energy benefit; a vault preservation zone does not prove facts; and a link corridor does not grant access or execute transfer. The contribution is a boundary-preserving placement grammar for regional AI infrastructure that can accommodate heterogeneous backends, local hardware roles, public data preservation, industrial demand references, heat-demand references, edge continuity, backup redundancy, and provider-independent operations without becoming a universal execution architecture. This working paper is Paper 30 of the AGI Structural Alignment Series.
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