The Arduino VENTUNO Q is a next-generation edge AI computer engineered for robotics, automation, and intelligent systems. Built to bring perception, decision-making, and physical action onto a single platform, VENTUNO Q enables developers to move from AI experimentation to real-world deployment faster than ever before.
Powered by a dual-brain architecture, the board combines the Qualcomm Dragonwing
IQ-8275 AI processor with the STM32H5 microcontroller, delivering both high-performance neural network inference and deterministic real-time control.
With up to 40 TOPS AI performance, 16 GB RAM, and industrial-grade storage, VENTUNO Q is designed to run advanced computer vision, robotics algorithms, and multimodal AI applications directly at the edge
From robotics and AI assistants to smart vision systems and industrial automation, VENTUNO Q turns artificial intelligence into real-world action.
Applications:
VENTUNO Q enables developers and organizations to build powerful AI-powered physical systems across multiple industries.
- AI Robotics and Autonomous Systems: Combine computer vision, AI decision-making, and deterministic motor control to build advanced robots capable of navigation, manipulation, and human interaction.
- Edge AI Vision Systems: : Deploy intelligent vision systems for object detection, tracking, quality inspection, and predictive maintenance without relying on cloud computing.
- Offline AI Assistants: Run local large language models and speech recognition systems to create privacy-first AI assistants for kiosks, healthcare devices, and enterprise applications.
- Smart Industrial Automation: Integrate AI with sensors, robotics, and industrial networks to optimize manufacturing processes and enable predictive maintenance.
- Education and Research: VENTUNO Q provides a powerful platform for AI experimentation, robotics research, and advanced STEM education.
Key Features:
- Dual-Brain Architecture: The combination of Qualcomm Dragonwing IQ-8275 and STM32H5F5 ensures high-performance AI computation alongside real-time deterministic control.
- 40 TOPS AI Performance: Integrated Neural Processing Unit (NPU) enables real-time execution of computer vision, natural language processing,and multimodal AI models
- 16 GB High-Bandwidth RAM: Run larger models and process high-resolution data streams without performance bottlenecks.
- 64 GB Industrial-Grade eMMC Storage: Reliable onboard storage for operating systems, frameworks, and AI models with support for expansion.
- Multi-Camera Support: Three MIPI-CSI interfaces allow simultaneous camera feeds for applications like stereo vision and 360° environmental awareness.
- Professional Connectivity:
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- Tri-band Wi-Fi 6
- Bluetooth® 5.3
- 2.5 Gb Ethernet
- Robotics-Ready I/O: VENTUNO Q includes professional interfaces such as:
- CAN-FD
- PWM motor control
- Deterministic GPIO
- Unified Development with Arduino App Lab: Develop embedded code, Linux applications, and AI models in a single integrated environment.
Available from June 2026 – Price to be announced.
