Ultra-low-power edge AI accelerator optimized for LoRa networks and industrial IoT applications with on-device machine learning capabilities.
Optimized for battery-powered devices with power consumption as low as 10mW during inference, extending battery life to years.
Native LoRaWAN support with integrated radio interface for seamless long-range, low-power wireless connectivity.
Run TinyML models locally for real-time inference without cloud connectivity, ensuring data privacy and low latency.
Extended temperature range (-40°C to +85°C), robust EMI/EMC performance, and industrial certifications for harsh environments.
Up to 100 GOPS for INT8 inference
10mW active, 1µW sleep mode
512KB SRAM, 2MB Flash
LoRaWAN 1.0.3, 868/915 MHz bands
I2C, SPI, UART, GPIO
QFN-48, 7x7mm
Crop monitoring, soil analysis, and predictive maintenance for agricultural IoT sensors.
Predictive maintenance, anomaly detection, and condition monitoring for industrial equipment.
Environmental monitoring, parking sensors, and infrastructure health monitoring with long-range connectivity.
Contact us to learn more about NexusEdge-L and how it can power your LoRa and industrial IoT applications.
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