Arduino® UNO™ Q 4GB

Overview

Arduino® UNO™ Q 4GB’s hybrid design makes it the perfect dual-brain platform for your next innovation. It combines a Linux® Debian-capable Qualcomm® Dragonwing™ QRB2210 microprocessor with a real-time STM32U585 microcontroller (MCU). It’s Arduino, it’s a computer, it’s anything you want to build. 

This variant of Arduino UNO Q features 4 GB of RAM and 32 GB of eMMC, making it the best choice if:

• You intend to use UNO Q in single-board computer (SBC) mode.
• Your application requires running multiple, simultaneous high-level processes.
• You plan to use larger, more complex AI or machine learning models (such as high-resolution computer vision or sophisticated audio processing).
• You need substantial built-in storage for logs and data, and/or a robust development environment.

Arduino UNO Q is the go-to tool to prototype your next robotics or IoT project, thanks to:

• All-in-one toolbox: Arduino UNO Q combines the powerful Dragonwing™ QRB2210 microprocessor (MPU) with a real-time STM32U585 microcontroller (MCU) – no matter what you’re building, it’s your new go-to tool!
• AI in a blink: unlock AI-powered vision and sound solutions that react to their environment.
• Arduino support and developer tools including libraries, sketches, and projects developed for the UNO ecosystem by millions of users
• Compatible with the Arduino UNO ecosystem: UNO Q works with a wide range of Arduino hardware, from classic UNO shields to new carriers, and includes a Qwiic connector for Modulino® nodes and third-party modules.
• Streamlined software experience: in addition to Arduino IDE and Arduino Cloud, you can jumpstart development with plenty of pre-built examples and AI models available through Arduino App Lab.
• Seamless, unified development: build classic Arduino Sketches, code in Python® thanks to the pre-installed Linux® Debian OS, or mix the two from a single interface – it’s easy, with Arduino App Lab.

Powered by Qualcomm Dragonwing QRB2210

Your UNO Q is a compact, cost-effective platform with advanced features like machine vision – thanks to the integrated AI and GPU acceleration, quad-core 2.0 GHz CPU, Adreno GPU, 2x ISP, and support for camera, display, and audio provided by the Dragonwing QRB2210.

Advanced features

• Microprocessor: Qualcomm® Dragonwing™ QRB2210
• Microcontroller: Real-time, low-power STM32U585 MCU
• RAM: 4 GB LPDDR4
• Storage: 32 GB eMMC built-in (no SD card required)
• Connectivity: Dual-band Wi-Fi® 5 (2.4/5 GHz), Bluetooth® 5.1
• High-speed headers: Power advanced peripherals – vision, audio, display
• Classic UNO headers: Mount shields to add capabilities
• LED matrix: 8 x 13 LED matrix for visual creation and feedback
• USB-C connector: Power delivery, video output, or connect keyboard, mouse, USB microphones or USB cameras via dongle
• Qwiic connector: Expand easily with Modulino® nodes – no soldering required

UNO Q empowers innovators to turn ideas into real-world solutions. Whether you’re experimenting with IoT, learning robotics, or diving into AI, your next idea starts with Q.

What is Arduino App Lab?

• Unified Dev Experience
  App Lab is a brand-new integrated development environment that unifies the journey across Linux® and real-time OS.
  Preloaded on the UNO Q, App Lab combines Arduino Sketches, Python® scripts, and containerized AI models into fully integrated applications all managed from a single interface.
• Ready-to-use Apps and Bricks
  Get started fast with Arduino Apps, self-contained examples with everything you need. Add plug-and-play features to your projects with pre-built Bricks to accelerate your ideas even more.
• Pre-loaded AI Models 
  With pre-loaded AI models in Arduino App Lab, you can leverage the real-world data for a wide range of capabilities such as object/human detection, anomaly detection, image classification, sound recognition, and keyword spotting.

Find out more in our official documentation.

Tech specs

Documentation

SCHEMATICS IN .PDF  DATASHEET IN .PDF

Learn more

• ARDUINO DOCS For the full technical documentation, tutorials and much more, visit Arduino Docs