- VENTUNO Q runs fully autonomous AI agents, completely offline, without external servers
- Dragonwing processor provides up to forty dense TOPS of AI computing
- Robotic applications include vision-guided arms and autonomous machines navigating complex environments
Qualcomm and Arduino have launched Arduino VENTUNO Q, a single-board computer designed for robotics, generative AI and edge computing, capable of operating entirely offline.
The board uses the Qualcomm Dragonwing IQ8 Series processor and a dedicated STM32H5 microcontroller for deterministic control, allowing systems to perceive, decide and act on the same device.
Qualcomm says the neural processing unit provides up to 40 TOPS of dense computing, supporting concurrent inference and complex processing locally, while 16 GB of RAM and 64 GB of expandable storage handle demanding multitasking.
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A new card designed for Edge AI workloads
Fabio Violante, vice president and general manager of Arduino, said the platform enables “systems that don’t just interpret the world, they interact with it,” allowing machines to operate without relying on cloud connectivity.
The architecture integrates AI acceleration with real-time microcontroller logic, uniting perception, decision and actuation on a single board.
VENTUNO Q can run fully autonomous AI agents for tasks such as offline voice assistants, gesture-responsive smart mirrors and interactive kiosks in transportation hubs, healthcare offices or tourist centers.
The system supports robotic applications including pick-and-place robotic arms guided by vision and service robots capable of tracking individuals in dynamic spaces.
It also allows autonomous machines to navigate complex environments using Visual SLAM combined with path optimization.
Edge AI vision systems are also possible, enabling proactive safety monitoring, traffic observation and automated quality inspections with local visual language models.
All of these functions are managed on the card, eliminating the need to transmit data to external servers.
VENTUNO Q runs Ubuntu and Debian Linux on its main processor and Arduino Core on Zephyr OS for real-time control.
Arduino App Lab supports Python scripts, Arduino sketches, and ready-to-use AI models, including gesture recognition and object tracking.
It also supports local LLMs powered by Qualcomm AI Hub, while Edge Impulse Studio helps train custom models.
Industrial I/O, multiple MIPI CSI camera connectors, audio, displays, and 2.5Gb Ethernet provide full hardware compatibility.
“With VENTUNO Q, AI can finally move from the cloud to the physical world. This platform makes it possible to build machines that perceive, decide and act, all on a single board,” said Fabio Violante, vice president and general manager of Arduino, Qualcomm Technologies, Inc.
“Our goal is to make advanced robotics and cutting-edge AI accessible to all developers, educators and innovators. VENTUNO Q is the natural evolution of Arduino’s mission and a major step toward making real-world intelligence accessible to all.”
VENTUNO Q is compatible with Arduino UNO shields, Modulino nodes, Qwiic sensors and Raspberry Pi HAT expansions.
It will be available in Q2 2026 through the Arduino Store and other authorized resellers such as DigiKey, Farnell, Mouser Electronics and RS Components, although the board’s practical influence on existing platforms like the Raspberry Pi remains unclear.
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