I-Pi OSM i.MX93 — Compact Edge AI Powerhouse with eIQ IntegrationThe I-Pi OSM i.MX93 brings next-generation edge capability into an ultra-compact OSM form factor. Designed for developers building AI-driven products, it combines NXP’s i.MX93 dual-core Arm® Cortex-A55 + Ethos-U65 NPU with ADLINK’s production-ready Yocto BSP—now enhanced with NXP eIQ™ AI Toolkit support out of the box. This platform gives customers a fast, low-risk path to build smart, connected, and power-efficient devices across industrial, medical, retail, and IoT markets. Edge AI Made PracticalWith integrated eIQ ML support, customers can go from model development to deployment without friction. Built-in eIQ capabilities include: TensorFlow Lite, Arm NN, and ONNX Runtime Model quantization, optimization, and benchmarking tools Deployment-ready ML pipelines Pre-tested eIQ demo application in ADLINK Yocto image(per: ADLINK’s ML Demo procedure) This dramatically shortens the “prototype → PoC → product” cycle by eliminating manual integration and toolchain setup. Key Hardware Advantages• i.MX93 CPU + NPU:Dual Cortex-A55 (up to 1.7 GHz) with Ethos-U65 microNPU for real-time ML acceleration. • Ultra-compact OSM Size-S module:Reliable, solder-down design ideal for high-volume products. • Rich Connectivity:USB-C OTG, Ethernet, Wi-Fi/BT, MIPI-CSI/DSI, I²C, SPI, UART—ready for sensors, cameras, and displays. • Industrial-grade reliability:Robust thermal performance and long lifecycle availability. • ADLINK-quality Yocto BSP:Stable, production-ready, and maintained by ADLINK’s embedded Linux team. Fast ML Deployment Workflow Develop & Train ML ModelsBuild classification, detection, anomaly, or semantic models using the eIQ Toolkit. Optimize & QuantizeConvert models to low-footprint formats suitable for the NPU. Package for YoctoUse ADLINK’s pre-configured Yocto layer with eIQ already enabled. Deploy to I-Pi OSM i.MX93Run your optimized ML models directly on the NPU for low-latency performance. Try Now eIQ® Toolkit on ADLINK OSM-i.MX93If you are curious about what ADLINK NXP has to offer, you can try the demos on our development right now by visiting our ADLINK NXP repository wiki page.