Arduino VENTUNO Q: Democratizing Edge AI and Robotics

Arduino has announced the upcoming launch of its newest platform, Arduino® VENTUNO™ Q, designed to democratize edge AI. Named after the Italian word for twenty-one, VENTUNO Q builds upon the legacy of the Arduino® UNO™ family and marks a significant step in the company’s evolution as it approaches its 21st anniversary.

Uniting AI and Real-Time Control

VENTUNO Q combines high-performance AI computing with deterministic real-time control, enabling systems that can both interpret and interact with the physical world. The platform utilizes a dual-brain architecture, building upon the Arduino® UNO™ Q, but with significantly upgraded capabilities powered by the Qualcomm Dragonwing™ IQ8 Series. This includes support for both traditional and generative AI workloads, accelerated by an NPU delivering up to 40 dense TOPS, alongside a dedicated STM32H5 microcontroller for low-latency actuation and motor control.

Key Specifications and Capabilities

• Processing Power: Qualcomm Dragonwing™ IQ8 Series with NPU acceleration (up to 40 TOPS) and STM32H5 microcontroller.
• Memory: 16 GB RAM for concurrent inference and multitasking.
• Storage: Expandable 64 GB storage.
• Connectivity: Industrial I/Os including CAN-FD, PWM and high-speed GPIO; high-speed connectors for MIPI-CSI cameras, advanced audio, displays, and 2.5 Gb Ethernet.
• Operating Systems: Ubuntu and Linux Debian with upstream support on the main processor; Arduino Core on Zephyr OS for the real-time microcontroller.

Applications of VENTUNO Q

VENTUNO Q is designed to enable the development of fully autonomous AI agents that can operate offline, opening up possibilities in various fields:

• AI-Powered Systems: Offline AI voice assistants using local LLM models, smart mirrors responding to gestures, and AI-driven kiosks for healthcare or transportation.
• Robotics and Motion Control: Precise robotic arms guided by vision, service robots that recognize and follow users, and autonomous robots navigating complex environments using Visual SLAM.
• Edge AI Vision and Sensing: Proactive security systems, traffic monitoring devices, and automated quality inspection systems utilizing local VLMs.
• Education & Research: A platform for teaching computer vision and generative AI on the edge, and for rapid prototyping.

Development Environment and Compatibility

VENTUNO Q streamlines the development process through the Arduino® App Lab environment, offering a unified experience for Arduino sketches, Python scripts, and pre-built AI models – including local LLMs, VLMs, automatic speech recognition, gesture recognition, pose estimation, and object tracking. The platform is as well integrated with Edge Impulse Studio for custom AI model development.

VENTUNO Q offers flexibility in setup, functioning as either a single-board computer (SBC) or connecting to a PC via USB-C or network. It is engineered for machines that move, react, and manipulate, and boasts compatibility with UNO shields and carriers, Arduino® Modulino™ nodes, Qwiic sensors, and Raspberry Pi Hats.

Availability

Arduino VENTUNO Q will be available in Q2 2026 through the Arduino Store and official resellers including DigiKey, Farnell, Macfos, Mouser and RS. Sign up for updates.

“With VENTUNO Q, AI can finally move from the cloud into the physical world. This platform makes it possible to build machines that perceive, decide, and act — all on a single board. Our goal is to make advanced robotics and edge AI accessible to every developer, educator, and innovator.” – Fabio Violante, VP & GM, Arduino, Qualcomm Technologies, Inc.

“VENTUNO Q reflects our shared commitment to make edge AI more powerful and more accessible. By uniting Arduino’s developer ecosystem with the power of Dragonwing processors, we are making advanced edge AI available to millions of developers worldwide. This platform paves the way for a fresh surge of creativity and innovation, where devices and solutions can instantly comprehend their surroundings and respond, all at the edge.” – Nakul Duggal, EVP and Group GM, Automotive, Industrial and Embedded IoT, Qualcomm Technologies, Inc.