Arduino®️ VENTUNO™ Q: Where AI takes action

Arduino® VENTUNO™ Q

Where AI takes action

VENTUNO Q is the definitive powerhouse for AI and robotics applications. The edge AI computer that redefines what's possible.

The accelerated dual-brain architecture for real-world AI

VENTUNO Q brings perception, decision, and action onto a single board – eliminating complexity, latency, and the cost of multi-device setups. It combines a Qualcomm Dragonwing™ IQ-8 and STM32H5 microcontroller, which communicate seamlessly via RPC (Remote Procedure Call) bridge.

The AI brain

The Qualcomm Dragonwing™ IQ-8275 processor delivers NPU, CPU, and GPU for complex neural network inference.

The action brain

The STM32H5F5 microcontroller enables sub-millisecond response to guarantee stable, deterministic control for robotics, motion systems, and industrial interfaces.

With VENTUNO Q, AI gets physical

Empowering developers from AI users to AI creators

Introducing Arduino VENTUNO Q

Key Features

NPU	RAM	eMMC
40 TOPS: Dragonwing IQ-8 processor with NPU to deploy vision models, LLMs, and multi-modal AI at the edge with real-time inference performance.	16 GB: Load larger models, process high-res imaging, and run intensive robotics algorithms smoothly.	64 GB: Industrial-grade storage for OS, frameworks, models, and data. Reliable under any conditions.

Microprocessor (MPU)	Qualcomm Dragonwing™ IQ8 (IQ-8275): CPU: Octa-core Arm® Cortex® Adreno GPU/VPU: Arm® Cortex® A623 at 877 MHz Hexagon Tensor AI Processor (NPU): up to 40 dense TOPS Qualcomm Spectra 692 ISP OS: Ubuntu or Debian upstream
Microcontroller (MCU)	STM32H5F5: Arm® Cortex® M33 at 250MHz 4MB flash 1.5MB RAM OS: Arduino core on Zephyr
RAM	16GB LPDDR5
Storage	64GB eMMC M.2 connector for NVME Gen.4 external storage
Connectivity	Wi-Fi® 6 2.4/5/6 GHz with onboard antenna Bluetooth® 5.3 with onboard antenna 1x 2.5Gbit RJ45
Camera	USB camera support 3x MIPI CSI connectors muxed with 2x MIPI CSI on JMEDIA header
Video	1x HDMI muxed with MIPI DSI on JMEDIA header Video output (DP Alt mode) support via USB-C MIPI DSI pins on JMEDIA header
Audio	2x Microphone IN / Headphone OUT / Ear OUT / Line OUT on JMISC header
Power Supply	From USB-C connector 5 VDC max at 3 A 5.5x2.1 mm Power Jack 12-24 VDC Screw Terminal 7-24 VDC 7-24 V on JOMEGA
USB	1x USB-C port with host/device role switching, power role switch and video output 2x USB 3.0 Type A 2x USB 3.0 on JOMEGA header
CAN	1x CAN-FD PHY on screw terminal 3x CAN-FD (no PHY) on JOMEGA header 1x CAN-FD (no PHY) on UNO Shield headers
Dimensions	160x100x25.8 mm

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

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

GET ARDUINO APP LAB

Two setup modes for a unique experience

VENTUNO Q adapts to your workflow, whether you prefer a single-board computer or the familiar PC-based set up.

Single Board Computer (SBC): Just add a monitor, keyboard, and mouse – you’ll have a professional Linux desktop with Arduino App Lab ready to launch.
PC-based set up: Connect VENTUNO Q to your laptop or desktop computer via USB-C or network connection, to run Arduino App Lab on your PC.

Versatile, ready-to-run AI models open infinite possibilities!

Accelerate development with a wide range of AI models optimized for the integrated NPU of VENTUNO Q – or customize for your unique challenges! Powered by Edge Impulse and Qualcomm AI Hub, this is your gateway to extensive AI libraries.

Local LLMs: Use models like Qwen for sophisticated natural language understanding entirely on-device, without cloud dependencies or data transmission.
Local VLMs: Models like Qwen VLM combine visual perception with natural language understanding for image captioning, scene description, OCR, and more.
TTS and ASR: Leverage Melo TTS and Whisper to allow offline devices to understand natural speech, transcribe, and give human-like responses.
Gesture recognition: Recognize hand gestures, finger movements, and sign language for touchless interfaces and human-robot interaction, using models like MediaPipe.
Object tracking: Use YOLO-X (You Only Look Once - eXtended) to track people, vehicles, or objects in real-time across multiple camera views.
Pose detection: Track body pose, joint positions, and movement patterns with models like PoseNet. For fitness applications, safety monitoring, and interactive gaming.

Purpose-built for robotics and physical actuation

VENTUNO Q is engineered specifically for systems that move, manipulate, and respond to the physical world with precision and reliability.

ROS 2 compatibility: VENTUNO Q supports ROS 2 (Robot Operating System 2) for advanced, real-time robot development.
Robotics Bricks in App Lab: Arduino App Lab includes specific robotics Bricks that bundle complex functionality into accessible, reusable components.
Real-time motion control excellence: Instant response on GPIO, PWM, and CAN-FD enables zero-jitter motor control and safety-critical reliability.

Real-world applications

AI-powered systems: AI-capable assistants that operate entirely offline, ensuring complete data privacy. Perfect for smart kiosks, healthcare assistants, traffic flow analysis, and more.
Robotics and motion control: The complete robotics stack: vision processing for environmental awareness combined with deterministic motor control for precise manipulation and navigation.
Edge AI vision and sensing systems: Automated quality control, predictive maintenance, and process optimization – all while meeting industrial reliability, safety, and connectivity standards.
Education & research: A powerful, flexible platform for prototyping algorithms, publishing breakthrough research, and teaching advanced AI and robotics concepts

Explore all the spectacular specs!

VENTUNO Q was designed with all the hardware features to make it a powerful and accessible edge AI platform, ready to go from prototyping to production with zero friction.

16 GB RAM: High-bandwidth 16 GB RAM enables concurrent multi-model AI inference.
64 GB expandable storage: Industrial-grade eMMC, plus M.2 connector for NVMe Gen.4 storage expansion.
Triple MIPI-CSI camera support: Three 4-lane interfaces for 360° awareness, stereo depth perception, and multi-angle inspection.
Display outputs: MIPI-DSI for touchscreens and interactive panels, HDMI for monitors and projectors, USB-C DisplayPort Alt Mode for versatile video output.
Wireless & wired networking: Tri-band Wi-Fi® 6 (2.4/5/6 GHz) and Bluetooth® 5.3 for wireless connectivity. 2.5 Gb Ethernet.
Universal USB connectivity: USB-C for high-speed vision and audio data transfer. Dual USB-A 3.0 ports for peripherals and storage.
Industrial I/O & control: CAN-FD for professional motor controllers and industrial networks. PWM and deterministic GPIO for sub-millisecond response.

Unmatched hardware compatibility for rapid innovation

VENTUNO Q delivers unmatched ecosystem compatibility, extensive memory and storage, and professional-grade expansion options – because Innovation accelerates when you have the right tools at your fingertips.

Arduino^® UNO™ shields support: Native compatibility with all Arduino UNO shields – motor controllers, sensors, displays, and wireless interfaces work out of the box.
Raspberry Pi^® Hat compatibility: Standard 40-pin GPIO header provides full electrical and mechanical compatibility with Raspberry Pi accessories.
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: Advanced carrier headers (JMEDIA, JOMEGA, JMISC) provide dedicated lanes for high-speed cameras, displays, multi-axis control, and sensor fusion.

Frequently Asked Question

What makes VENTUNO Q different from other edge AI boards?

VENTUNO Q brings together up to 40 dense TOPS of AI compute with a dedicated real-time microcontroller in a unified dual-brain architecture. While competitors focus purely on AI inference, VENTUNO Q delivers both intelligence and deterministic actuation – essential for robotics, industrial control, and any application where AI must interact with the physical world. Arduino App Lab provides an accessible development experience that scales from beginner to professional level, while unmatched ecosystem compatibility (UNO shields, UNO carriers, Raspberry Pi Hats, Modulino nodes) accelerates prototyping.

Do I need to use Arduino App Lab, or can I develop with standard Linux tools?

Both options are fully supported. While Arduino App Lab streamlines AI and robotics development, VENTUNO Q itself is a complete Ubuntu/Debian Linux system. You can use standard IDEs such as VS Code, PyCharm, Eclipse, Vim, Emacs, Python virtual environments and package managers, Docker containers for isolated environments, SSH remote development and headless operation. Any framework or toolchain you prefer! App Lab accelerates development but never restricts your workflow.

Which operating systems does VENTUNO Q support?

VENTUNO Q officially supports Ubuntu for predictable long-term support and extensive package ecosystems, and Debian with full upstream support for embedded-focused development.

How much storage can I add beyond the onboard 64 GB?

The M.2 connector supports NVMe SSDs.

What AI models and frameworks does VENTUNO Q support?

VENTUNO Q supports multiple AI deployment paths: Qualcomm®️ AI Hub pre-optimized models, Edge Impulse trained models, Arduino App Lab curated model library, 3rd party and custom inference engines.

Can I train my own custom AI models for VENTUNO Q?

Absolutely. Use Edge Impulse’s integrated platform to upload your training data; train models using Edge Impulse’s cloud infrastructure; automatically optimize and quantize for VENTUNO Q hardware; deploy directly into Arduino App Lab with one click. You can also train your own models on 3rd-party and custom inference engines.

Does VENTUNO Q support ROS (Robot Operating System)?

Yes, VENTUNO Q is compatible with ROS 2.

When will VENTUNO Q be available for purchase?

VENTUNO Q is coming soon! To ensure you’re among the first to get your hands on it, contact us for our availability alerts.