Manage temporary power infrastructure for large-scale temporary operations.
Architected a 10,000-node relational database to track asset placement and resource consumption.
Reduced fuel consumption by 10% and optimized resource allocation through data-driven decision making.
Establish sovereign compute and 100% data retention in kinetic, off-grid environments without reliance on cloud uptime.
DDIL (Denied, Disrupted, Intermittent, Limited). High thermal variance. Variable power input (Solar/DC).
99.9% Local Uptime. Zero data loss during 72hr connectivity blackout. Autonomous self-healing via Watchdog.
Deploying persistent AI agents and data services in "Denied, Disrupted, Intermittent, and Limited" (DDIL) environments presents two critical failures:
Goal: Build a "Zero-Dependency" node capable of running local LLMs and agent swarms with <100W power draw.
The ARK Node utilizes a hardware-first approach to resilience. Unlike cloud clusters, the physical layer is tightly coupled with the logic layer.
The ARK Node v4.0 is a self-contained infrastructure stack designed to replace fragile cloud dependencies with robust local sovereignty. It integrates a Cognitive Core (Ollama/CrewAI) for autonomous decision making and a Hardware Watchdog layer for physical resilience.
Power Layer: 2kW Solar Array feeding 5kWh LiFePO4 buffer. Direct DC-to-DC regulation avoids inverter efficiency loss.
Compute Kernel: Linux Docker Host with Docker Compose orchestration. Selected for deterministic restart policies and low overhead compared to Kubernetes (critical for solar budget). Custom hardware watchdog monitors voltage at the solar controller.
Cognitive Core: Ollama inference engine running local LLM models (granite4:3b, qwen2.5:3b) with CrewAI orchestrating autonomous agent workforce. Vector Memory (ChromaDB) enables persistent agent memory across restarts.
Watchdog Protocol: Voltage sensors monitor battery SoC. If battery drops <20%, the system gracefully terminates non-essential Docker containers before hard power loss. Hardware watchdog timer executes hard reset if software hangs.
Storage Layer: NVMe SSD with atomic write guarantees. Immutable logs and store-and-forward buffer ensure 100% data retention during network outages. CrewAI run history stored locally for audit and recovery.
Network & Observability: Zero-trust mesh (Tailscale) for secure remote access. LoRa telemetry for low-power long-range communication. Datadog metrics and Sentry error tracking for operational visibility.
Power-aware orchestration script that manages container lifecycles based on telemetry:
def power_governor(telemetry):
"""
Adjusts compute load based on battery telemetry.
Prioritizes critical infra (databases) over
expansive logic (LLMs).
"""
battery_soc = telemetry.get('soc')
solar_input = telemetry.get('pv_watts')
if battery_soc < 20:
print("[CRITICAL] Power Critical. Shedding Load.")
docker_client.containers.get('llm_inference').stop()
docker_client.containers.get('agent_swarm').stop()
elif battery_soc > 80 and solar_input > 500:
print("[NOMINAL] Solar Surplus. Resuming Training Jobs.")
docker_client.containers.get('llm_train').start()Docker Orchestration vs. Kubernetes: Selected Docker Compose for power overhead. Kubernetes control plane consumes 20-30W minimum. On a solar budget, every watt matters. Docker Compose provides deterministic restart policies without the orchestration overhead.
Direct DC Power: Eliminated AC inverter layer to reduce conversion losses. Server PSU operates directly from LiFePO4 battery bank with buck converters for voltage regulation. Saves ~15% power compared to AC-inverter-AC path.
Hardware Watchdog: Software can fail silently during brownouts. Hardware watchdog timer monitors kernel heartbeat. On hang detection, executes hard power cycle autonomously. Enables "Zero-Touch" recovery without human intervention.
Rapid deployment of DC Fast Charging infrastructure.
Managed utility coordination, supply chain logistics, and contractor execution for high-voltage grid ties.
Successful deployment of critical charging nodes on the national network.