Arduino UNO Q 2GB

Why the 2GB variant is the scalable choice

While the 4GB model is built for multitasking and desktop-like experiences, the 2GB RAM / 16GB eMMC model is the definitive version for production-ready efficiency:

• Optimized Performance: 2GB of LPDDR4 RAM provides ample headroom for dedicated Linux containers, Python-based logic, and optimized Machine Learning models without unnecessary power draw.
• Cost-Efficient Deployment: The ideal solution for scaling projects from prototype to production where resource management and unit cost are critical.
• Reliable Edge Intelligence: Perfect for single-purpose industrial gateways or dedicated «smart» nodes that require 24/7 stability and a compact memory footprint.
• Integrated High-Speed Storage: The 16GB eMMC ensures fast boot times and more reliable data handling than traditional SD cards.

Dual-Brain architecture: the best of both worlds

The UNO Q 2GB features a unique «Split-Processing» design that allows you to manage tasks exactly where they belong:

• The High-Level Brain (MPU): Powered by the Qualcomm® Dragonwing™ QRB2210 (Quad-core 64-bit ARM® Cortex®-A53). It runs a full Debian Linux environment, perfect for AI frameworks, secure networking, and complex data orchestration.
• The Real-Time Brain (MCU): Powered by the STM32U585 (Cortex®-M33). It manages I/O, sensors, and time-critical hardware tasks with the legendary reliability and low-latency of the Arduino ecosystem.

The Arduino app lab: your bridge to innovation

Included with the UNO Q 2GB is the Arduino App Lab, a next-gen software suite designed to unify your development experience:

• Visual Bridge: Effortlessly manage communication between the Linux OS (MPU) and the Arduino hardware (MCU).
• One-Click AI: Deploy pre-trained machine learning models directly to the Qualcomm AI engine.
• Real-Time Dashboard: Monitor system health, CPU load, and pin status via a sleek, web-based interface.
• Remote Management: Perform Over-the-Air (OTA) updates for both firmware and Linux packages.

Applications & use cases

• Industrial IoT Gateway: Securely aggregate and process sensor data locally before syncing with the cloud.
• Dedicated Edge AI: Efficient object detection, environmental monitoring, or pattern recognition for specialized hardware.
• Smart Building Hubs: Act as the central brain for lighting, security, and climate control systems.
• Advanced Robotics: Use Linux for high-level logic while the STM32 handles precision motor control and sensor fusion.