Arduino ABX00181 VENTUNO Q is an edge AI single board computer that pairs a Qualcomm Dragonwing IQ8 processor with an STM32H5 microcontroller on one board. The Qualcomm QCS8275 has an octa core Kryo CPU, an Adreno A623 GPU and a Hexagon NPU that delivers up to 40 TOPS of AI acceleration, backed by 16 GB LPDDR5 RAM and 64 GB of industrial grade eMMC storage. An M.2 slot adds NVMe SSD expansion. The STM32H5 Arm Cortex M33 microcontroller runs the Arduino Core on Zephyr RTOS to handle real time control alongside Linux. Connectivity includes WiFi 6, Bluetooth 5.3, 2.5 Gb Ethernet, USB C with video output and USB 3.0 ports, plus HDMI. Up to three MIPI CSI cameras can be connected for machine vision. CAN FD, PWM, SPI, I2C, I3C and UART interfaces are available. The board has an 8 x 13 LED matrix and four RGB user LEDs. It accepts Arduino UNO shields, Qwiic modules and Raspberry Pi HATs, and supports Ubuntu Linux, ROS 2, Docker and the Arduino App Lab development environment. The VENTUNO Q suits autonomous robots, drones, machine vision, industrial automation, predictive maintenance, smart city monitoring, offline AI assistants and edge AI development.
- Qualcomm Dragonwing IQ8 QCS8275 processor with octa core Kryo CPU and Adreno A623 GPU
- Hexagon NPU with up to 40 TOPS AI acceleration
- STM32H5 Arm Cortex M33 microcontroller running Arduino Core on Zephyr RTOS
- 16 GB LPDDR5 RAM
- 64 GB industrial grade eMMC storage with M.2 NVMe SSD expansion
- WiFi 6 (2.4, 5 and 6 GHz) and Bluetooth 5.3
- 2.5 Gb Ethernet
- USB C with video output, USB 3.0 ports and HDMI
- Up to three MIPI CSI camera inputs
- CAN FD, PWM, SPI, I2C, I3C and UART interfaces
- 8 x 13 LED matrix and four RGB user LEDs
- Compatible with Arduino UNO shields, Qwiic modules and Raspberry Pi HATs
- Supports Ubuntu Linux, ROS 2, Docker and Arduino App Lab
- Power input 5 V USB C or 12 to 24 V DC jack
- Dimensions 160 x 100 x 25.8 mm
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