Arduino UNO Q Bundle Pairs Board and AI Guide
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The Arduino UNO Q Bundle is a brand-new package for people who want to step beyond ordinary sketches and into Linux, Edge AI, and deterministic control without piecing together the learning material themselves. Elektor is pairing the 2 GB version of the board with a new 235-page companion book, while the official hardware overview makes clear that this is not a routine UNO refresh, but a hybrid platform combining a Qualcomm Dragonwing QRB2210 MPU with an STM32U585 MCU.
What Is in the Arduino UNO Q Bundle?
On the hardware side, the board brings a quad-core Arm Cortex-A53 processor at 2.0 GHz, 2 GB of LPDDR4 RAM, 16 GB of eMMC storage, Wi-Fi 5, Bluetooth 5.1, USB-C, a Qwiic connector, an 8×13 blue LED matrix, and the familiar UNO form factor. On the software side, the Linux processor runs Debian, the real-time side uses Arduino Core on Zephyr OS, and the platform also advertises Docker and Docker Compose support.
That combination makes the package more relevant to engineers and advanced makers than a normal board-and-book offer, because it spans embedded Linux, real-time control, and AI-oriented prototyping in one place.
The Arduino UNO Q Bundle in Practice
The book, by Dogan Ibrahim, is not just a printed pinout reference. It takes readers from board features and Arduino App Lab examples into Edge Impulse Studio and a full keyword-spotting workflow, which is exactly the sort of path newcomers to this hybrid architecture will need. The Arduino UNO Q Bundle therefore looks less like a casual beginner set and more like a structured on-ramp for developers who already know Arduino culture but want to learn how current edge systems are starting to blend application processors with microcontroller-level timing.
For readers trying to work out where Arduino’s higher-end hardware is heading and trying to make their systems intelligent, that is probably the real point of interest here.

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