Manufacturer: ArduinoMPN: ABX00162

• Hybrid platform with Qualcomm® Dragonwing™ QRB2210 MPU and STM32U585 real-time MCU
• 2GB LPDDR4 RAM and 16GB eMMC for Linux-based embedded and edge AI projects
• Arduino UNO compatible with classic UNO shields, new carriers, and Qwiic expansion
• AI, vision, and audio capabilities for object recognition, voice commands, motion detection, and more
• Arduino App Lab for unified development using Arduino Sketches, Python®, and preloaded AI models
• Wi-Fi® 5, Bluetooth® 5.1, USB-C, LED matrix, and high-speed headers for versatile prototyping and product development tasks

• Dual-brain architecture: Linux-capable MPU + real-time MCU on one board
• Qualcomm® Dragonwing™ QRB2210 (quad-core Arm® Cortex®-A53 @ 2.0 GHz) + STM32U585 (Arm® Cortex®-M33 up to 160 MHz)
• 4GB LPDDR4 and 32GB eMMC (no SD card required) – recommended for SBC mode and more advanced AI use cases
• Wi-Fi® 5 (2.4/5 GHz) and Bluetooth® 5.1 with onboard antennas
• USB-C with host/device role switching and video output; connect USB peripherals via dongle
• Arduino UNO ecosystem compatible: classic UNO headers, high-speed headers, and Qwiic expansion
• Arduino App Lab: unified workflow for Arduino Sketches, Python®, and containerized AI models
• 8×13 LED matrix + RGB LEDs for visual feedback and UI prototyping

• Dual-brain architecture: Qualcomm Dragonwing™ IQ8 (QCS8275) + STM32H5F5 for deterministic real-time actuation
• AI compute: Hexagon Tensor AI Processor (NPU) with up to 40 Dense TOPS
• Memory & storage: 16GB LPDDR5 (2×8GB) + 64GB eMMC, M.2 NVMe Gen4 expansion
• Connectivity: Wi-Fi® 6 (2.4/5/6 GHz), Bluetooth® 5.3, 2.5Gbit Ethernet
• Adapter-free I/O: USB-C (host/device + DP Alt Mode video), 2× USB 3.0 Type-A, HDMI, MIPI CSI / MIPI DSI via carrier headers
• Industrial/robotics I/O: CAN-FD (PHY on screw terminal) plus additional CAN-FD lines via headers, JOMEGA expansion
• Ecosystem: Raspberry Pi® HATs (40-pin), Arduino® UNO shields/carriers, Qwiic/Modulino® + 8×13 LED matrix
• Software: Linux (Debian/Ubuntu), Arduino Core on Zephyr OS, Docker/Docker Compose, Arduino App Lab