From Data to Deployment: Mastering Edge AI with eIQ

NXP eIQ Explained: From Edge AI Deployment to Agentic AI Autonomy Bridgette Stone and Kyle Dando host Ted Kao to break down NXP's eIQ (Edge Intelligence) AI/ML development environment for NXP MCUs and application processors, aimed at simplifying the path from models to efficient on-device deployment. Ted outlines key components like the eIQ AI Toolkit, support for inference runtimes including TensorFlow Lite, ONNX Runtime, Arm, and ExecuTorch, plus integrations with MCUXpresso and Yocto. He explains two entry paths—bring your own model (eIQ Toolkit/Neutron SDK/AI Hub) and bring your own data (Time Series Studio with AutoML for time-series use cases)—and mentions hardware testing via FRDM boards and a planned remote board farm. The episode highlights newer additions such as the eIQ Agentic AI Framework, eIQ AI Hub, and Gen AI Flow, and points listeners to nxp.com/ai and nxp.com/eIQ to get started. Episode Resources: • www.nxp.com/ai • www.nxp.com/eiq 00:00 Welcome to EdgeVerse 00:28 Why Edge AI Matters 01:45 Meet Ted Kao 02:31 What eIQ Is 04:24 Inside the eIQ Ecosystem 05:37 Two Paths to Start 07:01 Bring Your Own Data 08:24 Testing on Real Hardware 09:00 New Tools and Agentic AI 11:28 Getting Started Resources 12:33 Wrap Up and Subscribe