Deployment Systems — Attention Dynamics

OPS_01 // DEPLOYMENT_ARCHITECTURE

Distributed Edge Deployment

Secure, local-first perception enclaves operating independently of cloud connections. Strict data sovereignty and low-latency operation by design.

OPS_02 // EDGE_PLATFORMS

Target Deployment Platforms

01 //

Edge Compute

NVIDIA Jetson, Qualcomm QCS, Intel Movidius. Purpose-built for neural inference at 15W TDP ceiling.

TDP: 15W MAX
02 //

Embedded Systems

ARM Cortex-M/R series. Bare-metal RTOS deployments for safety-critical perception loops.

RTOS: SAFETY-CRITICAL
03 //

Autonomous Robotics

Mobile robot platforms with multi-sensor BKAM fusion. Real-time obstacle avoidance and path planning.

FREQ: 120 Hz LOOP
04 //

Drone Systems

UAV perception modules for aerial surveillance and autonomous navigation in GPS-denied environments.

NAV: GPS-DENIED
05 //

Inference Nodes

Distributed secure inference nodes for mesh-networked deployment. Peer-to-peer state synchronization.

SYNC: P2P MESH
06 //

Vehicle Systems

Automotive-grade perception modules. ISO 26262 compatible inference pipelines.

CERT: ISO 26262
OPS_03 // DEPLOYMENT_TOPOLOGY

Distributed Node Architecture

0.42ms 0.38ms 0.51ms 0.44ms 0.29ms 0.35ms CMD_NODE EDGE_01 EDGE_02 EDGE_03 EDGE_04 EDGE_05 EDGE_06 STANDBY
OPS_04 // SECURITY_ARCHITECTURE

Operational Security Model

Zero-Cloud Inference Guarantee

Every deployment target operates under a strict zero-cloud-dependency contract. Model weights, sensor data, and inference outputs never leave the physical device boundary.

  • Hardware-bound secure enclaves (TEE/SGX)
  • Air-gapped inference capability
  • Zero cloud dependency — fully autonomous
  • AES-256 encrypted model weights at rest
  • Tamper-resistant deployment containers
PHYSICAL ENCLAVE
TRUSTED EXECUTION ENV
INFERENCE RUNTIME
MODEL + WEIGHTS SENSOR INPUT BUFFER OUTPUT VECTOR