Arduino unveiled its latest edge AI platform, the Arduino VENTUNO Q, at Embedded World. This board combines high-performance AI compute with real-time control, marking a significant evolution for the company as it prepares for its 21st anniversary. Built around the Qualcomm Dragonwing IQ8 Series, VENTUNO Q features dual-brain architecture: a main processor running Ubuntu/Linux for AI tasks and a dedicated STM32H5 microcontroller for low-latency actuation. It delivers up to 40 TOPS of NPU acceleration, 16GB RAM for multitasking, and 64GB expandable storage, enabling fully offline AI applications like voice assistants and autonomous robots.

VENTUNO Q eliminates multi-device complexity by integrating perception, decision, and action on a single board. The platform supports Ubuntu Linux on the main processor and the Arduino Core on Zephyr OS for deterministic real-time tasks. Developers gain access to a unified environment via Arduino App Lab, integrating sketches, Python scripts, and AI models (including LLMs, VLMs, ASR, gesture recognition) powered by Qualcomm AI Hub. This streamlines prototyping complex AI systems, including custom models via Edge Impulse Studio integration.

Designed for machines that move and react, VENTUNO Q features industrial I/Os (CAN-FD, PWM, GPIO), ROS 2 support, and high-speed MIPI-CSI camera connectors. It seamlessly works with existing Arduino shields, Modulino nodes, and Raspberry Pi Hats, creating a highly flexible Edge AI ecosystem. The board targets developers, educators, and innovators building autonomous systems, robotics, and intelligent edge devices, democratizing access to powerful AI capabilities previously confined to the cloud.

Available in Q2 2026 via the Arduino Store and major resellers, VENTUNO Q represents a major step in bringing real-world intelligence to everyone, fulfilling Arduino's mission to make advanced technology accessible.