Edge-to-cloud deployment architecture optimized for resilient operations across austere and contested environments.
Real-time sensor data collection
100-300 kW GPU/ASIC processing
AI-processed actionable insights
Resilient global connectivity
Centralized command and control
Edge processing reduces latency from seconds to milliseconds for time-critical decisions.
Process data locally and transmit only filtered intelligence, minimizing satellite bandwidth requirements.
Distributed architecture maintains mission capability even with degraded connectivity.
Ruggedized GPU/ASIC clusters (100-300 kW) designed for rapid deployment in austere environments. Supports advanced AI inference and training workloads with minimal power and cooling requirements.
pLEO satellite network integration provides resilient global connectivity for command and control, enabling operations in contested environments with limited terrestrial infrastructure.
Advanced AI algorithms process raw sensor data at the edge, extracting actionable intelligence and reducing transmission requirements by orders of magnitude.
Centralized command center receives filtered intelligence for strategic decision-making, with capability to push updated models and parameters back to edge nodes.
Real-time processing of drone and sensor feeds for immediate threat detection and response, with minimal latency and bandwidth requirements.
Autonomous AI processing at forward operating bases enables independent decision-making with optional cloud coordination for strategic alignment.
Resilient architecture maintains mission capability during communications disruptions, with automatic synchronization when connectivity is restored.
Portable Modular architecture scales from single-node deployments to multi-cabinet data centers for large-scale AI processing and analytics.