Arduino® Ventuno™ Q for Edge AI, Robotics, and Real-Time Control
10. April 2026 | Planegg
Arduino® VENTUNO™ Q is designed for applications where AI inference, vision, control and connectivity must work together efficiently and seamlessly. Its dual processor architecture combines the Qualcomm Dragonwing™ IQ-8275 with an STM32H5 microcontroller, enabling parallel processing of AI, vision and workload management within a unified hardware and software environment.
With powerful AI computing, local inference, deterministic real-time behavior and broad hardware compatibility, VENTUNO™ Q is particularly well suited for the efficient development of modern edge AI applications, such as autonomous robotics, intelligent vision systems, industrial control and local speech and image processing.
Compared to conventional multi-board architectures, VENTUNO™ Q requires lower integration effort while providing reduced latency and system complexity. This significantly streamlines the development process from evaluation to production-ready design.
Arduino® VENTUNO™ Q features 40 TOPS of NPU performance, 16 GB RAM, 64 GB of industrial eMMC storage, an RPC bridge for communication between the AI and control layers, and ROS 2 support for modern robotics and automation. This is further complemented by GPIO, PWM and CAN FD for precise motion control and industrial I/O.
Arduino® App Lab also provides a unified development environment for Arduino scripts, Python and AI workflows, significantly accelerating evaluation, prototyping and the implementation of local AI models.
More information about Arduino® VENTUNO™ Q is available here and in the ATE Store.
For potential solutions and deployment scenarios including Arduino® VENTUNO™ Q, please also visit our landing pages for:
Q&A
What is the key advantage of Arduino® VENTUNO™ Q?
The platform combines AI inference and deterministic real time control on a shared hardware basis, reducing integration effort, latency and complexity.
Which applications is VENTUNO™ Q particularly suitable for?
Typical application areas include autonomous robotics, edge AI applications, vision systems, local speech processing and industrial control.
How does Arduino® App Lab support development?
Arduino® App Lab provides a consistent development environment for Arduino, Python and AI models, helping accelerate evaluation, prototyping and production ready designs.
