Scaleout Systems demonstrated an autonomous loitering munition that uses Nvidia Jetson Orin Nano and computer-vision AI to detect, rank, and strike targets without manual intervention, as part of BAE Systems' ALMA program and NATO's DIANA accelerator. The drone completed missions in under 320 seconds, operating offline with resilience against electronic warfare, though actual NATO procurement and combat deployment remain pending.
RoboKrunch benchmarked TypeSafe's Jev decision model on simulated warehouse robot fleet triage, finding it costs $24.57 per million decisions with sub-second latency and requires no training data. Self-hosting a small model becomes cheaper above ~1M decisions per month, but Jev wins on startup cost and simplicity for smaller deployments.
Researchers propose intelligence per watt (IPW) as a metric to measure how efficiently local AI models can answer real-world queries on power-constrained devices. Evaluating 20+ local language models across 1M queries, they find local models successfully answer 88.7% of queries with IPW improving 5.3x from 2023-2025, demonstrating that local inference can redistribute significant demand from centralized cloud infrastructure.