The Arduino VENTUNO Q brings high-performance artificial intelligence and real-time embedded control together on a single development platform.
Its dual-processor architecture combines the Qualcomm Dragonwing IQ8 QCS8275 application processor with an STM32H5F5 microcontroller. The Qualcomm processor handles demanding Linux workloads, computer vision, large language models, multimodal AI, and neural-network inference, while the STM32H5 manages time-sensitive operations such as motor control, GPIO, PWM, and CAN-FD.
The Qualcomm Hexagon Tensor processor delivers up to 40 dense TOPS of AI performance, allowing developers to execute supported AI workloads locally at the edge. This makes the VENTUNO Q suitable for applications where fast response, reduced cloud dependence, and local data processing are important.
The board provides 16GB of LPDDR5 memory and 64GB of onboard eMMC storage. Additional high-speed storage can be connected through its M.2 NVMe Gen 4 interface.
For machine vision applications, the board provides multiple MIPI CSI camera connections as well as USB camera support. Its connectivity options include Wi-Fi 6, Bluetooth 5.3, and 2.5Gb Ethernet.
VENTUNO Q can be programmed using Arduino App Lab or standard development workflows including VS Code, Linux development tools, Python, Arduino Sketches, Docker containers, and other compatible tools.
The platform is designed for robotics, autonomous systems, industrial edge AI, machine vision, research, and advanced embedded development.
JORD
