Official Arduino UNO Q 4GB Single Board Computer (ABX00173) | High-Performance Hybrid AI SBC

Description The Official Arduino UNO Q 4GB Single Board Computer (ABX00173) is the ultimate "dual-brain" development platform, built for developers who need maximum performance for edge AI, robotics, and intensive IoT applications. This upgraded variant features a massive 4GB of LPDDR4 RAM and 32GB of built-in eMMC storage, providing the headroom required to run multiple Linux containers, high-resolution computer vision models, and heavy data-logging tasks without bottlenecks. It combines a Qualcomm® Dragonwing™ QRB2210 quad-core microprocessor running Debian Linux with a real-time STM32U585 ARM Cortex-M33 microcontroller executing classic Arduino code. With built-in Wi-Fi 5, Bluetooth 5.1, USB-C video output, and full compatibility with existing UNO shields and Qwiic modules, the UNO Q 4GB empowers you to mix Python scripts, AI models, and C++ sketches effortlessly via the unified Arduino App Lab. People also search for: Arduino UNO Q 4GB, ABX00173 development board, dual brain single board computer, Arduino Edge AI board, Qualcomm QRB2210 SBC, Arduino App Lab hardware, high memory hybrid microcontroller, Raspberry Pi alternative Arduino. Specifications Microprocessor (MPU): Qualcomm Dragonwing™ QRB2210 (Quad-core ARM Cortex-A53 @ 2.0 GHz) with Adreno 702 GPU Microcontroller (MCU): STMicroelectronics STM32U585 (ARM Cortex-M33 up to 160 MHz) Memory: 4GB LPDDR4 RAM (Ideal for heavy AI workloads) Storage: 32GB eMMC built-in (High-speed, robust OS boot storage) Connectivity: Dual-band Wi-Fi® 5 (2.4/5 GHz) and Bluetooth® 5.1 Power Supply: 5V/3A via USB-C or 7V–24V DC via VIN pin Interfaces: Classic UNO headers, Qwiic 3.3V I2C connector, USB-C (Power Delivery, DisplayPort Alt-Mode Video Output, Data) Visuals: Onboard 8x13 Blue LED Matrix, 4x User-controllable RGB LEDs Operating Systems: Debian Linux OS (MPU) and Zephyr RTOS with Arduino Core (MCU) Applications Advanced Edge AI & Vision: Running high-resolution object detection, facial recognition, and complex machine learning models natively on the board using the Adreno GPU and 4GB of RAM. Industrial IoT Gateways: Processing and buffering massive amounts of sensor data locally on the 32GB eMMC storage before securely syncing to cloud dashboards. Autonomous Robotics: Using the Linux MPU for high-level navigation and camera processing, while the MCU handles deterministic, zero-latency motor control. Smart Dashboards & Displays: Outputting a full Linux graphical user interface to an external monitor via the USB-C DisplayPort feature for interactive kiosks and smart home hubs. Usage Notes Power Requirements: Because of the powerful Qualcomm processor and 4GB of RAM, you must use a high-quality USB-C power supply rated for at least 5V / 3A to prevent system crashes during heavy CPU loads. Storage Advantages: Unlike traditional SBCs that rely on easily corrupted microSD cards, the UNO Q 4GB boots its Debian Linux OS directly from the fast, highly reliable 32GB onboard eMMC storage. Connecting Cameras: You can plug standard UVC-compatible webcams directly into the USB-C port (via a dongle or hub) to instantly start building computer vision applications using Arduino App Lab. FAQ Q: What is the main difference between this ABX00173 model and the ABX00162 model? A: The ABX00173 is the high-performance variant. It doubles both the memory and storage, offering 4GB of RAM (up from 2GB) and 32GB of eMMC storage (up from 16GB). This is highly recommended if you plan to run a desktop environment, heavy AI models, or multiple Docker containers simultaneously. Q: Does this board support my older Arduino UNO shields? A: Yes! Despite being a powerful Linux computer, the UNO Q strictly maintains the classic Arduino UNO footprint and pinout, ensuring seamless compatibility with standard UNO shields and accessories. Q: Can I connect a monitor and keyboard directly to it? A: Yes. The USB-C port supports DisplayPort Alt-Mode, meaning you can connect it to a monitor (using a compatible USB-C to HDMI/DP adapter) and attach a USB mouse and keyboard to use it as a standalone Linux PC. Q: How do I program the two different "brains" on the board? A: You can use the new Arduino App Lab, a unified interface that lets you manage Linux applications (Python, AI models) and Arduino MCU Sketches (C++) in one place, handling all the complex communication between the chips automatically. Package Includes 1 × Official Arduino UNO Q 4GB Single Board Computer (ABX00173)