{"product_id":"arduino-uno-q-qualcomm-qrb2210-stm32u585-ai-abx00162","title":"Arduino UNO Q | Qualcomm QRB2210 + STM32U585 | AI | 2GB–4GB","description":"\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual Processor Hybrid Architecture\u003c\/strong\u003e — Qualcomm QRB2210 handles Linux, AI, and multimedia; STM32U585 handles low-power real-time tasks simultaneously\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI Vision \u0026amp; Machine Learning\u003c\/strong\u003e — Qualcomm QRB2210 accelerates computer vision, ML inference, and multimedia processing at the edge\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLinux + Real-Time Control\u003c\/strong\u003e — Run full Linux OS on QRB2210 while STM32U585 manages time-critical microcontroller operations concurrently\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegrated Wi-Fi\u003c\/strong\u003e — Built-in wireless connectivity for IoT devices, cloud integration, and connected systems\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUSB-C Connectivity\u003c\/strong\u003e — Modern USB-C interface for power, programming, and data transfer\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eArduino Ecosystem Compatible\u003c\/strong\u003e — Full compatibility with Arduino libraries, shields, and development tools\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2GB or 4GB RAM Options\u003c\/strong\u003e — Choose the memory configuration that fits your workload — lightweight IoT (2GB) or demanding AI\/vision (4GB)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRich I\/O Expansion\u003c\/strong\u003e — Sensors, cameras, displays, and peripherals for robotics, automation, and smart device development\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003eAvailable in 2GB and 4GB RAM configurations, the UNO Q scales from lightweight IoT and connected device applications to demanding AI vision and robotics workloads. 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