Platform Architecture

Five layers. Zero cloud dependency. Complete sovereign control from input to inference.

CommandRoomAI Platform Architecture — Five layer sovereign edge AI stack: Input, Operator, Governance, Capability, Infrastructure, Hardware

How the modules work together

Every module is purpose-built. Together, they form complete operational pipelines.

Train and deploy a classified coding assistant

Pipeline: AriaOS Forge fine-tunes codebase, HammerIO compresses checkpoint, AriaOS audits inference, MemoryMap monitors memory

Secure perimeter monitoring — fully offline

Pipeline: AegisOS ingests camera feeds, AI Detection runs locally, HammerIO archives footage, AriaOS maintains audit log, SentinelForge correlates threats

Edge node deployment and recovery

Pipeline: AriaOS governs config, HammerIO compresses for transfer, node reboots, HammerIO restores in under 1 second, MemoryMap confirms memory state

Validated hardware platforms

Tested under sustained load, chaos conditions, and air-gapped field deployment.

Platform Memory GPU Engine Status
Jetson AGX Orin 64GB 64 GB nvCOMP LZ4 Primary — fully validated
Jetson AGX Orin 32GB 32 GB nvCOMP LZ4 Supported
Jetson Orin NX 16 GB nvCOMP LZ4 Supported
Apple Silicon M-series Shared Metal / LZFSE Supported
HP ProLiant G8 — CPU Validated (chaos testing)
Any CUDA GPU — nvCOMP LZ4 Supported
CPU-only — zstd / gzip / lz4 Full fallback

Deployment modes

One platform. Three operational postures. Deploy where you need it.

Field Deployment

Single Jetson node. Battery-powered optional. Air-gapped. All modules running. Validated at 99.97% uptime under load.

Base Installation

Rack-mounted or desktop. Multi-node capable. Web dashboards accessible on local network. Full telemetry and audit logging.

Development / Research

Workstation deployment for model training, benchmark validation, and capability development. Full pipeline from data to deployed model.