DeepX Unveils Ultra-Efficient AI Video Analytics Solution Built on AmpereOne
DeepX, a leader in ultra-low-power on-device AI semiconductors, has introduced a new AI video analytics solution built on the AmpereOne platform, aiming to deliver high-throughput video inference with significantly reduced energy consumption. The solution is designed for continuous, real-time analytics across surveillance, retail, industrial and smart-city environments, where operators increasingly need to process large volumes of video without expanding power or cooling footprints. DeepX's architecture leverages AmpereOne’s high-core-count, energy-efficient design to run multiple AI models in parallel, enabling dense camera workloads with lower operating costs. The plan is to accelerate video surveillance, large-scale smart city programs, infrastructure monitoring for logistics and manufacturing and real-time security controls.
Demand for efficient video analytics has grown quickly as enterprises shift from simple motion detection to more advanced object tracking, anomaly detection and behavioral insights. DeepX’s focus on power efficiency aligns with markets where energy constraints limit AI adoption. For organizations scaling camera networks or modernizing legacy NVR infrastructure, the solution provides a path to higher analytic density without equivalent increases in infrastructure cost.
Posted by Pure AI Editors on 12/08/2025