Architecture Layer

Private AI architecture has to be engineered, not just branded.

Astrum explains how it designs private AI environments: local model hosting, information boundaries, internal access, maintenance planning, and the deployment handoff into GCT.

Boundary

Air-gap strategy

Define what remains local, what is separated, and which environments require no outside network dependency.

Compute

Model hosting tiers

Match the system to the use case, team size, workflow weight, and supportable hardware footprint.

Knowledge

Internal document ingestion

Map policies, SOPs, documentation, and internal references into a retrieval system that stays under customer control.

Governance

Backups, logs, and maintenance

Build the support and oversight structure at the same time as the deployment, not afterward.

Deep Dive

Air-gapped architecture

Clarify what internal boundary design really means and when it matters most.

Deep Dive

Local model hosting

Explain how owned hardware and model operations become a maintained business capability.

Deep Dive

Knowledge ingestion

Explain how internal documents, permissions, and retrieval quality shape the usefulness of the system.

Deep Dive

Security and governance

Give the infrastructure story a stronger enterprise edge with access control and change discipline.

Infrastructure concern Astrum role GCT role
System architecture Define deployment logic, software layer, and access model Deliver and stage the physical platform
Power and placement Define operational requirements Coordinate site readiness and hardware install
Internal portal access Define user experience and knowledge behavior Ensure the environment is installed and reachable on site
Support path Own software maintenance and operational model Support physical equipment and field needs