Arduino UNO Q Hybrid Board — QRB2210 & STM32U585 | AI Vision, IoT & Robotics | ABX00173

Key Features

• Dual-Architecture Hybrid Platform — Combines Linux-capable QRB2210 SoC with STM32U585 real-time microcontroller on a single board
• AI & Machine Vision Ready — High-performance compute with dedicated memory for running vision models, edge AI inference, and neural network workloads
• Real-Time MCU Control — STM32U585 handles low-latency hardware tasks independently while Linux runs complex application logic simultaneously
• Built-in Wi-Fi Connectivity — Wireless networking for IoT deployments, cloud integration, and remote device management
• USB-C Interface — Modern power delivery and data connectivity in a compact, industry-standard connector
• Arduino Ecosystem Compatible — Works with the Arduino IDE, Arduino Cloud, and a broad library of shields and accessories

The Arduino UNO Q Hybrid Board (ABX00173) redefines what a development board can do by combining two distinct computing architectures on a single platform. The Qualcomm QRB2210 SoC brings Linux-level processing power for running AI frameworks, computer vision pipelines, and complex application stacks, while the STM32U585 microcontroller manages real-time hardware control, sensor interfacing, and low-latency I/O — both operating in parallel without interference.

This hybrid design makes the Arduino UNO Q an ideal choice for projects that demand both high-level intelligence and precise hardware control. Whether you're building an AI-powered vision system, an autonomous robot, a smart IoT gateway, or an advanced embedded Linux application, this board eliminates the need for separate compute and control modules. The result is a cleaner architecture, simpler wiring, and faster development cycles.

Connectivity is fully modern — onboard Wi-Fi keeps your device networked and cloud-ready, while USB-C handles programming, power, and data transfer. The board ships with memory options to match your project's computational demands, and the familiar Arduino form factor ensures compatibility with existing shields, enclosures, and tooling. Full support for the Arduino IDE and Arduino Cloud makes it accessible to both beginners building their first AI project and professionals prototyping production-ready systems.

Designed for the next generation of embedded development, the Arduino UNO Q Hybrid Board is at home in university labs, maker spaces, robotics competitions, and commercial product prototyping environments alike.

Ideal For

• AI Vision & Edge Inference — Run image classification, object detection, and vision models directly on-device
• Robotics & Autonomous Systems — Combine Linux intelligence with real-time motor and sensor control
• IoT Gateways & Smart Devices — Build Wi-Fi connected devices with cloud integration and local processing
• Embedded Linux Development — Full Linux environment with GPIO, I2C, SPI, and UART access
• STEM Education & Research — Hands-on platform for learning AI, robotics, and embedded systems
• Rapid Prototyping — Arduino-compatible form factor speeds up iteration and testing