Arduino Introduces VENTUNO Q Board Powered by Qualcomm Dragonwing Processors
The new platform is built to support applications in generative AI, robotics and advanced automation.
VENTUNO Q
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Arduino has announced a new hardware platform designed to expand the use of artificial intelligence at the edge. The upcoming Arduino VENTUNO Q platform, revealed ahead of the Embedded World event, is built to support applications in generative AI, robotics and advanced automation.
The platform continues the legacy of the popular Arduino UNO family and arrives as the company approaches the 21st anniversary of its foundation. Named after the Italian word for “twenty-one,” VENTUNO Q reflects the company’s focus on combining its open-source hardware ecosystem with more powerful computing capabilities.
VENTUNO Q integrates high-performance AI processing with real-time control, allowing machines not only to analyse data but also to respond to physical environments. The board is powered by the Qualcomm Dragonwing IQ-8 Series processor, designed to handle traditional and generative AI workloads.
The system also includes a dedicated STM32H5 microcontroller for time-sensitive operations such as actuation and motor control. According to the company, the processor is supported by an AI acceleration engine capable of delivering up to 40 TOPS (trillions of operations per second). The board comes with 16 GB of RAM and expandable storage of up to 64 GB, enabling simultaneous AI processing and complex tasks.
Fabio Violante, Vice President and General Manager at Arduino, said the new platform aims to move artificial intelligence closer to real-world devices.
“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,” he said. “Our goal is to make advanced robotics and edge AI accessible to every developer, educator, and innovator.”
The platform is designed to support a range of practical applications. These include offline AI voice assistants running local language models, smart mirrors that respond to gestures, and public service kiosks capable of speech recognition and text-to-speech processing directly on the device.
VENTUNO Q can also power robotics projects such as vision-guided robotic arms, service robots that follow users in dynamic environments, and autonomous machines capable of navigation using visual mapping technologies.
Nakul Duggal, Executive Vice President and Group General Manager for Automotive, Industrial and Embedded IoT at Qualcomm Technologies, said the collaboration aims to expand access to edge AI tools.
“VENTUNO Q reflects our shared commitment to make edge AI more powerful and more accessible,” Duggal said. “By combining Arduino’s developer ecosystem with Dragonwing processors, we are making advanced edge AI available to millions of developers worldwide.”
The platform runs Ubuntu and Debian Linux on its main processor, while the microcontroller operates on Zephyr OS using the Arduino Core. Developers can work through the Arduino App Lab environment, which supports programming in Arduino sketches, Python scripts and ready-to-use AI models.
Arduino said VENTUNO Q will be available in the second quarter of 2026 through its online store and authorised global resellers.
Arduino has announced a new hardware platform designed to expand the use of artificial intelligence at the edge. The upcoming Arduino VENTUNO Q platform, revealed ahead of the Embedded World event, is built to support applications in generative AI, robotics and advanced automation.
The platform continues the legacy of the popular Arduino UNO family and arrives as the company approaches the 21st anniversary of its foundation. Named after the Italian word for “twenty-one,” VENTUNO Q reflects the company’s focus on combining its open-source hardware ecosystem with more powerful computing capabilities.
VENTUNO Q integrates high-performance AI processing with real-time control, allowing machines not only to analyse data but also to respond to physical environments. The board is powered by the Qualcomm Dragonwing IQ-8 Series processor, designed to handle traditional and generative AI workloads.
