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Official Arduino UNO Q (2GB RAM) Single Board Computer

Original price was: ₹ 7,999.00.Current price is: ₹ 6,666.00.

The gateway to Edge AI. The Arduino UNO Q (2GB) merges a Debian Linux-capable Qualcomm processor with a real-time STM32 microcontroller. Experience industrial-grade hybrid computing and vision AI, optimized for cost-effective PM Shri Lab deployments.

Why choose between the computing power of a microcomputer and the real-time deterministic control of a microcontroller? The Arduino UNO Q (2GB Variant) is a revolutionary hybrid Single Board Computer (SBC) that gives you both, at a highly accessible price point. It pairs a quad-core Qualcomm® Dragonwing™ QRB2210 microprocessor running a full Debian Linux OS with an ultra-fast STMicroelectronics® STM32U585 microcontroller running Zephyr OS.

As an IIT Bhubaneswar-incubated tech ecosystem, XROBOTICS WORKS PVT LTD designates the 2GB Arduino UNO Q as the foundational Edge AI upgrade for XR4STEM Composite Skill Labs. This board allows B.Tech students and high school innovators to seamlessly integrate Python-based AI models (like object detection and ML algorithms) with standard C++ Arduino sketches in a single workflow via the new Arduino App Lab.

Equipped with 2GB of RAM, 16GB of built-in eMMC storage, dual-band Wi-Fi 5, Bluetooth 5.1, an 8×13 LED matrix, and a Qwiic connector for solderless expansion, the UNO Q is an all-in-one embedded lab. It provides uncompromising, industrial-grade power in the classic UNO form factor—perfect for autonomous rovers, smart vision kiosks, and next-generation IoT gateways.

Detailed Attributes:

Microprocessor (MPU): Qualcomm® Dragonwing™ QRB2210 (Quad-core Arm® Cortex®-A53 @ 2.0 GHz) with Adreno GPU & Dual ISP for camera vision

Microcontroller (MCU): STMicroelectronics® STM32U585 (Arm® Cortex®-M33 up to 160 MHz)

Memory & Storage: 2GB LPDDR4 RAM / 16GB onboard eMMC storage

Connectivity: Dual-band Wi-Fi® 5 (2.4/5 GHz) and Bluetooth® 5.1

I/O & Expansion: USB-C (Power delivery, Video output, peripherals), Qwiic connector, High-speed headers (MIPI-CSI/DSI), and classic UNO headers

Visuals: Onboard 8×13 LED Matrix and 4x RGB LEDs

Operating Systems: Debian Linux (MPU) + Arduino Core on Zephyr OS (MCU)

Best For: AI at the Edge, Computer Vision basics, advanced autonomous robotics, IoT gateways, and premier PM Shri Lab curriculums.

Highlights

Dual-Brain Architecture: Run complex AI models on Linux while managing real-time motor control simultaneously.

Unified Workspace: Arduino App Lab lets you code Python and C++ seamlessly in one interface.

Cost-Optimized Power: 2GB RAM and 16GB eMMC provide massive AI capabilities while keeping lab deployment costs manageable.

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