Arduino® UNO™ Q 2GB
The Arduino UNO Q 2GB is the gateway to high-performance hybrid computing. Designed for developers and industries that require the perfect balance between edge intelligence and real-time control, this board eliminates the gap between high-level software and hardware reliability. By pairing a Qualcomm® Dragonwing™ MPU with an STM32U585 MCU, the UNO Q 2GB provides a streamlined, cost-effective platform for dedicated AI and IoT applications.
Overview
Why the 2GB variant is the scalable choice
While the 4GB model is built for multitasking and desktop-like experiences, the 2GB RAM / 16GB eMMC model is the definitive version for production-ready efficiency:
- Optimized Performance: 2GB of LPDDR4 RAM provides ample headroom for dedicated Linux containers, Python-based logic, and optimized Machine Learning models without unnecessary power draw.
- Cost-Efficient Deployment: The ideal solution for scaling projects from prototype to production where resource management and unit cost are critical.
- Reliable Edge Intelligence: Perfect for single-purpose industrial gateways or dedicated "smart" nodes that require 24/7 stability and a compact memory footprint.
- Integrated High-Speed Storage: The 16GB eMMC ensures fast boot times and more reliable data handling than traditional SD cards.
Dual-Brain architecture: the best of both worlds
The UNO Q 2GB features a unique "Split-Processing" design that allows you to manage tasks exactly where they belong:
- The High-Level Brain (MPU): Powered by the Qualcomm® Dragonwing™ QRB2210 (Quad-core 64-bit ARM® Cortex®-A53). It runs a full Debian Linux environment, perfect for AI frameworks, secure networking, and complex data orchestration.
- The Real-Time Brain (MCU): Powered by the STM32U585 (Cortex®-M33). It manages I/O, sensors, and time-critical hardware tasks with the legendary reliability and low-latency of the Arduino ecosystem.
AI Vision and Multimedia Ready
Bring your projects to life by adding "eyes" to your Arduino UNO™ Q. Thanks to the high-speed USB-C port and the power of the Qualcomm® quad-core processor, you can plug in a standard USB mini-webcam to unlock a world of possibilities. Whether you are implementing facial recognition with AI and Machine Learning, building a smart surveillance system, or streaming real-time video, the UNO Q handles it with ease. With native support for UVC webcams on Linux and seamless integration within Arduino App Lab, moving from image capture to data processing is faster and more intuitive than ever.
The Arduino app lab: your bridge to innovation
Included with the UNO Q 2GB is the Arduino App Lab, a next-gen software suite designed to unify your development experience:
- Visual Bridge: Effortlessly manage communication between the Linux OS (MPU) and the Arduino hardware (MCU).
- One-Click AI: Deploy pre-trained machine learning models directly to the Qualcomm AI engine.
- Real-Time Dashboard: Monitor system health, CPU load, and pin status via a sleek, web-based interface.
- Remote Management: Perform Over-the-Air (OTA) updates for both firmware and Linux packages.
Applications & use cases
- Industrial IoT Gateway: Securely aggregate and process sensor data locally before syncing with the cloud.
- Dedicated Edge AI: Efficient object detection, environmental monitoring, or pattern recognition for specialized hardware.
- Smart Building Hubs: Act as the central brain for lighting, security, and climate control systems.
- Advanced Robotics: Use Linux for high-level logic while the STM32 handles precision motor control and sensor fusion.
Need more than 2 GB RAM and 16 GM eMMC?
Check out the Arduino UNO Q 4-GB variant
Need help?
Check the Arduino Forum for questions about the Arduino Language or how to make your own Projects with Arduino. If you need any help with your product, please contact the official Arduino User Support through our Contact us page.
Warranty
You can find your product warranty information here.
Tech Specs
| Microprocessor (MPU) | Qualcomm Dragonwing™ QRB2210: Quad-core Arm® Cortex®-A53 @ 2.0 GHz Adreno GPU 3D graphics accelerator 2x ISP (13 MP + 13 MP or 25 MP) @ 30 fps |
| Microcontroller (MCU) | STM32U585 Arm® Cortex®-M33 up to 160 MHz 2 MB flash memory 786 KB SRAM |
| RAM | 2GB LPDDR4 |
| Power Supply | From USB-C connector 5 V max at 3 A Input Voltage (VIN): 7-24 V |
| Storage | 16GB eMMC |
| USB | 1× USB-C port with host/device role switching, power role switch and video output |
| Connectivity | Wi-Fi® 5 2.4/5GHz with onboard antenna Bluetooth® 5.1 with onboard antenna |
| Interfaces | I2C/I3C SPI PWM CAN UART PSSI GPIO JTAG ADC |
| Video | Video output support via USB-C MIPI DSI pins on JMEDIA header |
| Extra | 4× RGB user-controllable LEDs 8x13 Blue LED Matrix 1x Qwiic connector voltage 3V3, I2C 1x User push-button JCTL: MPU Remote Debug connector |
| Audio | Microphone IN / Headphone OUT / Line OUT on JMISC |
| Dimensions | 68.85 mm x 53.34 mm (UNO form factor) |
| MPU Operating System | Linux Debian OS with upstream support |
| Real-time Operating System | Arduino Core on Zephyr OS |
| Containerization | Docker and Docker Compose support |
| Support Operating Systems for Arduino App Lab | Windows: Windows 10 or later (64-bit) macOS: macOS 11 or later (64-bit) Linux: Ubuntu 22.04 or later, and Debian Trixie (64-bit) |
Conformities
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FAQs
Is it compatible with standard Arduino Shields?
Yes! The UNO™ Q 4GB maintains the classic UNO form factor and 3.3V/5V compatibility for most existing shields.
Does it support Python?
Absolutely. You can run full Python 3 environments on the Linux side (MPU) to control hardware or process data.
Can I connect a webcam to UNO Q?
Yes, you can! Thanks to its Linux-based architecture and USB-C port, you can connect a standard USB UVC-compatible webcam (like most mini webcams or PC webcams). When paired with the power of the Qualcomm Dragonwing™ processor and Arduino App Lab, you can easily use the camera for video streaming, computer vision projects, or AI-driven image recognition.
What is the "App Lab" exactly?
It is a dedicated software environment that acts as a "control center" for the board, allowing you to bridge the Linux OS and the Arduino hardware layer effortlessly.
Can I connect a monitor?
Yes, the USB-C port supports DisplayPort Alt Mode, enabling a direct connection to external displays for a desktop-like experience.
What is Arduino® UNO™ Q?
UNO™ Q is Arduino’s Linux-capable board, featuring a quad-core Qualcomm Dragonwing™ QRB2210 with GPU and an STM32U585 microcontroller, enabling a unique combination of Linux apps, real-time control, and lightweight AI.
Is UNO™ Q open source?
Yes, UNO Q schematics and gerbers are available under the CC-BY-SA 4.0 license. Software is open source as well, including AppLab, Debian OS, Arduino Core, and Libraries.
What kind of environment do I need to run applications running on Linux and Arduino side?
Arduino App Lab comes pre-installed on UNO™ Q. Connect UNO™ Q to your computer and easily download Arduino App Lab to start coding. No complicated configuration needed! If you’re using UNO Q as a single-board computer (SBC), just connect a dongle with a keyboard, mouse, and monitor — you’ll be up and running in minutes.
What operating systems support Arduino App Lab?
Arduino App Lab is compatible with all major operating systems: Windows 10 or later (64-bit), macOS 11 or later (64-bit), Ubuntu 22.04 or later, and Debian Trixie (64-bit). Arduino App Lab also comes natively pre-installed on the UNO™ Q Debian OS, so you can get started right out of the box.
Can I use Arduino IDE with UNO™ Q?
Yes, we believe in openness and freedom of choice – so you can still use Arduino IDE to run your sketches on the UNO™ Q microcontroller subsystem, use your own tools through Arduino CLI, and more. However, to fully take advantage of UNO™ Q’s capabilities, Arduino App Lab is the tool for you! It’s the next-gen platform we’ve designed for an all-new development experience, integrating Arduino sketches, Python®, and AI with ease. Try Arduino App Lab to see how you can add functionalities, not complexity!
How do I connect a keyboard, mouse, and HDMI display to UNO™ Q?
Use a USB-C dongle that supports power delivery (PD) and video output. This expands UNO™ Q’s USB-C port into standard connectors for desktop-like use. Make sure the dongle supports PD, because it is used to power the board itself. Without it, UNO Q will not boot. To add a display, keyboard, mouse or other peripherals, plug your devices to the dongle. We recommend using the 4 GB RAM variant of UNO™ Q for standalone setup.
Can I develop with UNO™ Q board wirelessly?
Yes. Simply connect Arduino App Lab and your UNO™ Q to the same network over Wi-Fi or Ethernet. You can even develop with multiple boards at once.
How should I choose between the 2 GB and 4 GB variants?
We suggest you to choose the 2 GB variant for cost-efficient, dedicated lightweight applications, and opt for the 4 GB version if you require a responsive standalone desktop experience, multitasking with high-level processes, complex AI model support, or expanded local storage.
Is Arduino App Lab open source?
Yes, App Lab and the App Bricks library are open source; source code repositories can be consulted here. Thanks to the pre-installed App Lab, you can get started right away without any complex Linux setup, and you can still control the hardware using standard Arduino sketches.
What are the main differences between the Arduino UNO Q and a Raspberry Pi?
While both boards run Linux, the Arduino UNO Q stands out by integrating an STM32 microcontroller for real-time pin control—a capability that requires extra hardware on a Raspberry Pi. Additionally, the UNO Q maintains the classic UNO form factor and shield compatibility, features built-in eMMC storage instead of relying on a microSD card, and includes App Lab to seamlessly bridge communication between the Linux environment and the microcontroller.
How do I power the Arduino UNO Q?
The Arduino UNO Q is powered via its USB-C port and requires a Power Delivery (PD) compatible power supply, with a recommended minimum output of 15 watts (e.g., 5V/3A). If you attempt to use a non-PD power supply, the board will not negotiate the necessary power and will fail to boot. Additionally, when connecting external components, you must observe the strict current limits on the 3.3V GPIO pins managed by the MCU; these pins are typically limited to 20 mA per I/O pin, and you should use a driver circuit rather than driving high-power loads directly.
UNO Q vs. UNO R4 WiFi: Which one do I need?
Choose the UNO R4 WiFi if your focus is on real-time hardware control and connected IoT applications. Choose the UNO Q if your project requires Linux, Python, AI models, or computer vision capabilities, while still maintaining real-time control thanks to its integrated microcontroller.