Arduino UNO Q | Qualcomm QRB2210 + STM32U585 | AI | 2GB–4GB
Available in stock (658)
- Dual Processor Hybrid Architecture — Qualcomm QRB2210 handles Linux, AI, and multimedia; STM32U585 handles low-power real-time tasks simultaneously
- AI Vision & Machine Learning — Qualcomm QRB2210 accelerates computer vision, ML inference, and multimedia processing at the edge
- Linux + Real-Time Control — Run full Linux OS on QRB2210 while STM32U585 manages time-critical microcontroller operations concurrently
- Integrated Wi-Fi — Built-in wireless connectivity for IoT devices, cloud integration, and connected systems
- USB-C Connectivity — Modern USB-C interface for power, programming, and data transfer
- Arduino Ecosystem Compatible — Full compatibility with Arduino libraries, shields, and development tools
- 2GB or 4GB RAM Options — Choose the memory configuration that fits your workload — lightweight IoT (2GB) or demanding AI/vision (4GB)
- Rich I/O Expansion — Sensors, cameras, displays, and peripherals for robotics, automation, and smart device development
The Arduino UNO Q Hybrid Board is Arduino’s most powerful platform — combining a Qualcomm QRB2210 application processor and an STM32U585 microcontroller in a single board that bridges Linux-powered AI computing with real-time embedded control. The QRB2210 brings Qualcomm’s mobile AI capabilities to the edge, enabling machine learning inference, computer vision pipelines, and multimedia processing directly on the board. Simultaneously, the ultra-low-power STM32U585 handles real-time sensor reading, motor control, and time-critical tasks without interrupting the Linux environment.
Available in 2GB and 4GB RAM configurations, the UNO Q scales from lightweight IoT and connected device applications to demanding AI vision and robotics workloads. Integrated Wi-Fi, USB-C, and full Arduino ecosystem compatibility make it immediately productive for developers moving from simple microcontroller projects to intelligent, Linux-powered embedded systems.
Ideal For
- AI Vision & Edge Inference — Computer vision, object detection, and ML workloads powered by Qualcomm QRB2210
- Robotics & Autonomous Systems — Real-time motor and sensor control via STM32U585 alongside Linux AI processing
- IoT & Connected Devices — Wi-Fi and Arduino ecosystem for rapid connected device development
- Linux Embedded Development — Full Linux OS for advanced application development in a compact board
- Research & Prototyping — Dual-processor architecture for complex hybrid embedded/AI prototypes
Variant Options
- 2GB RAM — MPN: ABX00162 | SKU: CDABX00162 | Ideal for IoT, connected devices, and lightweight AI workloads
- 4GB RAM — MPN: ABX00173 | SKU: CDABX00173 | Recommended for AI vision, heavy ML inference, and robotics
Specifications
- Application Processor — Qualcomm QRB2210 (Linux, AI, multimedia)
- Microcontroller — STM32U585 (real-time, low-power)
- RAM Options — 2GB / 4GB
- OS — Linux
- Wireless — Wi-Fi (integrated)
- USB — USB-C
- Ecosystem — Arduino compatible
- Applications — AI Vision, IoT, Robotics, Edge Computing
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About Brand
About Brand
Arduino development boards are open-source microcontroller platforms designed for learning, prototyping, and product development. They are widely used by students, makers, and engineers to build and test electronic projects quickly and efficiently.
Shipping & Rerturns
Shipping & Rerturns
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• Returns: You may return or exchange products within 30 days of receiving your order. Items must be in original condition with proof of purchase.
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Orders are typically processed within 1–2 business days. You will receive a confirmation email with tracking details once your order has been shipped. Please note that processing times may be slightly longer during high-demand periods or sales events.
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What is your return policy?
We accept returns within 30 days of delivery. To be eligible, items must be unused, in their original packaging, and accompanied by proof of purchase. If the item is faulty or damaged, please contact us for further instructions. For returns due to reasons other than product defects or our error, customers are responsible for return shipping costs.