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Where AI takes action

VENTUNO Q is the edge-AI powerhouse that senses, decides, and acts — on a single board. Run LLMs and agentic AI offline with 40 dense TOPS of NPU acceleration, plus real-time MCU control.

Where AI takes action

VENTUNO Q is the edge-AI powerhouse that senses, decides, and acts — on a single board. Run LLMs and agentic AI offline with 40 dense TOPS of NPU acceleration, plus real-time MCU control.

THE ACCELERATED DUAL-BRAIN ARCHITECTURE FOR REAL-WORLD AI

Two brains. One board. Zero compromise

THE AI BRAIN

Powered by the Qualcomm®
Dragonwing™ IQ8 processor.

Delivers up to 40 dense TOPS of NPU acceleration for vision models, LLMs and multi-modal AI inference entirely offline. Comes pre-loaded with Ubuntu Linux.

THE ACTION BRAIN

Powered by the STM32H5F5
real-time microcontroller.

Runs the Arduino Core on Zephyr RTOS, enabling sub-millisecond, deterministic control of motors, CAN-FD, PWM, and GPIO. Perfect for robotics and industrial interfaces.

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WHAT I CAN BUILD

From prototype to production

One platform for any application where AI must interact with the physical world.
Compatible with ROS 2 and designed for industrial standards.
Build your autonomous mobile robots, drones, and edge ai vision systems today.

LLMs-powered systems Run full-scale LLMs and VLMs models entirely on-device. Powerful enough for conversational kiosks, healthcare assistants, and real-time traffic analysis that think locally.
Robotics and motion control ROS 2-ready robotics stack: onboard SLAM for autonomous mapping and navigation, computer vision and on-device vision models for rich environmental awareness, and deterministic motor control for precise manipulation.
Industrial edge AI vision Run multimodal models on the edge for automated quality control, predictive maintenance, and process optimization, all while meeting industrial reliability, safety, and connectivity standards.
Education & research A powerful, researcher-friendly platform for prototyping and deploying today's most advanced AI models locally. Ideal for studying and teaching next-generation AI and robotics concepts.

BUILT FOR DEVELOPERS

Powerful. Open. Accessible.

Tri-band Connectivity

Wi-Fi 6 (2.4/5/6 GHz) and Bluetooth 5.3 with onboard antennas, plus 2.5 Gb Ethernet for high-bandwidth edge workloads.

Massive Storage

64 GB industrial-grade eMMC and an M.2 connector for NVMe Gen.4 expansion — room for models, data, and logs at the edge.

Open Linux Workflow

Program with VS Code, your own IDE, or native Linux tools. Docker and apt pre-installed. You're never locked in.

16GB High-Bandwidth RAM

High-speed LPDDR5 memory shared by NPU,CPU and GPU - enabling concurrent multi-model AI inference and rich multomal pipelines

Rich I/O & Expansion

USB-C with video output, dual USB 3.0, CAN-FD, and compatibility with UNO shields, Raspberry Pi HATs, and Modulino nodes.

360° Spatial Vision

Supports triple MIPI-CSI camera support simultaneous cameras for awareness, stereo depth perpeption and multi-angle inspection.

VIEW FULL SPECH ON THE PRODUCT PAGE

Arduino®️App Lab: one platform to play, train, and master

Develop Arduino sketches, Python scripts, and AI models in one consistent environment. Arduino App Lab seamlessly bridges embedded programming, Linux development, and edge AI, giving you a single environment for your entire application stack.

ECOSYSTEM COMPATIBLE

Plug into everything you already know

Unmatched ecosystem compatibility accelerates prototyping with the hardware you know.

Arduino® UNO™ carriers and shields
Arduino® UNO™ carriers and shields

Native compatibility with all UNO shields, motor controllers, sensors, and wireless interfaces work out of the box.

Raspberry Pi® HATs compatibility
Raspberry Pi® HATs compatibility

Standard 40-pin GPIO header provides full electrical and mechanical compatibility with Raspberry Pi accessories.

Arduino® Modulino™ nodes & Qwiic connectivity
Arduino® Modulino™ nodes & Qwiic connectivity

Solder-free Qwiic connector supports chainable Modulino nodes and hundreds of Qwiic-compatible sensors with polarized, error-proof connections.

High-speed media carrier support
High-speed media carrier support

Advanced carrier headers (JMEDIA, JOMEGA, JMISC) provide dedicated lanes for high-speed cameras, displays, multi-axis control, and sensor fusion.

The first to build with VENTUNO Q

Buy the most powerful Arduino platform to date.

Be first to build with VENTUNO Q

Buy the most powerful Arduino platform to date.
Introductory price $299.

Everything you need to know

What exactly is VENTUNO Q?

VENTUNO Q is a single-board edge AI computer built around a dual-brain architecture: a Qualcomm Dragonwing IQ8 processor for AI workloads (up to 40 dense TOPS) paired with an STM32H5 real-time microcontroller for deterministic actuation. The two communicate seamlessly via an RPC bridge, so sensing, decision, and action all happen on one board.

Can it really run LLMs offline?

Yes. With 40 dense TOPS of NPU acceleration and 16 GB of LPDDR5 RAM, VENTUNO Q runs LLMs, vision-language models, and multi-modal AI inference locally on the edge — no cloud connection required.

What operating system does it run?

The AI brain runs standard Ubuntu Linux (with Debian support coming soon), with Docker and apt pre-installed. The action brain (STM32H5) runs the Arduino Core on Zephyr RTOS for real-time control.

How do I program it?

Use Arduino App Lab to combine Python on Linux with sketches on the microcontroller in one workflow. You can also use VS Code, your preferred IDE, or native Linux tools — your team's existing workflow just works.

Is it compatible with my existing hardware?

Yes. VENTUNO Q supports UNO shields, UNO carriers, Raspberry Pi HATs, and Modulino nodes, so you can reuse the ecosystem you already have and accelerate prototyping.

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