Arduino® VENTUNO™ Q

Edge AI Computer

The Arduino® VENTUNO™ Q is the edge AI computer that redefines what is possible at the edge, serving as the definitive powerhouse for AI and robotics applications. By shattering the barrier between high-performance computing and real-time actuation, it empowers you to build intelligent solutions that not only "think" but actively shape the physical world.

At its core lies a revolutionary Dual-Brain architecture: the robust Qualcomm Dragonwing™ IQ8 delivers a massive up to 40 dense TOPS of AI compute for advanced computer vision and local LLMs, while the dedicated STM32H5 Microcontroller ensures the low-latency precision required for complex motor control and robotics.

Designed for a zero-friction start, the VENTUNO Q ensures you remain connected and ready to execute. It features integrated Wi-Fi® 6 connectivity for fast, reliable data transfer, alongside a comprehensive suite of built-in connectors, including high-speed USB 3.0, HDMI, 2.5 Gb Ethernet, and expandable NVMe Gen.4 storage, eliminating the need for messy adapters.

Unlock unprecedented hardware possibilities with a board designed to say 'yes' to your peripherals. Whether you are deploying Raspberry Pi® Hats , utilizing the vast library of Arduino® UNO Shields and Carriers , or rapidly prototyping with Arduino® Modulino® nodes, the VENTUNO Q supports them all natively.

Pre - Order Now to get 12% off* with the voucher code, equivalent to the cost of Power Supply and the USB - C cable.

Datasheet ▶ About Arduino ▶

MPN : ABX00181

Bundle Offer: Get Started for less

Everything You Need for Your Next AI Project, in One Bundle - Arduino® VENTUNO™ Q + Power Supply + USB C cable

Get the complete VENTUNO™ Q bundle with a power supply and USB-C cable, so you have everything needed to get started straight out of the box.

Use the promo code

*Get 12% off, equivalent to the cost of the Power Supply and USB-C cable.

VENTQ12US

Offer valid: 25^th August to 30^th September

*Terms and Conditions see below

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 processor and STM32H5 microcontroller, which communicate seamlessly via RPC (Remote Procedure Call) bridge.

Exploded view of Arduino VENTUNO Q (ABX00181) showing heatsink and board, powered by Qualcomm Dragonwing IQ8 with 40 TOPS NPU

With VENTUNO™ Q, AI gets physical

Empowering developers from AI users to AI creators

Introducing Arduino® VENTUNO™ Q

Product Specification

Arduino VENTUNO Q (ABX00181) board diagram showing MIPI-CSI, USB-C, HDMI, Ethernet, M.2, QWIIC and Qualcomm QCS8275 SOM

Product View

Diagram of Arduino VENTUNO Q (ABX00181) dual-brain architecture linking the Qualcomm Dragonwing IQ8 MPU and STM32H5 MCU via RPC

Dual-Brain Architecture: Linux Meets Arduino

Key Features

Hardware

Microprocessor (MPU)	Qualcomm Dragonwing™ IQ8 (QCS8275): Octa-core Kryo Gen 6 Adreno 623 GPU Hexagon Tensor AI Processor (NPU): up to 40 Dense TOPS Qualcomm Spectra 690 ISP	Microcontroller (MCU)	STM32H5F5: Arm® Cortex® M33 at 250MHz 4MB flash 1.5MB RAM
RAM	2x8GB LPDDR5 16 GB RAM: High-bandwidth 16 GB RAM enables concurrent multi-model AI inference.	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
Storage	64GB eMMC (Industrial-grade) M.2 connector for NVME Gen.4 external storage	USB	1× 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
Connectivity	Tri-band Wi-Fi® 6 2.4/5/6 GHz with onboard antenna Bluetooth® 5.3 with onboard antenna 1x 2.5Gbit RJ45 Ethernet	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
Camera	USB camera support 3x MIPI CSI connectors muxed with 2x MIPI CSI on JMEDIA header Three 4-lane interfaces for 360° awareness, stereo depth perception, and multi-angle inspection.	Interfaces	I2C/I3C, SPI, PWM, UART, PSSI, GPIO, JTAG, ADC
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	Extra	4× RGB user-controllable LEDs 8x13 Blue LED Matrix 1x Qwiic connector voltage 3V3, I2C 1x User push-button 1x reset button JCTL: MPU Remote Debug connector JTAG port on JOMEGA
Audio	2x Microphone IN / Headphone OUT / Ear OUT / Line OUT on JMISC header	Dimensions	160x100x25.8 mm
Temperature Range	Commercial Temperature Range: -10 °C to +60 °C (14 °F to 140 °F)

Software
MPU Operating System	Linux Debian OS with upstream support Linux Canonical UBUNTU	Containerization	Docker and Docker Compose support
Real-time Operating System	Arduino Core on Zephyr OS	Supported Operating Systems for Arduino App Lab	Windows: Windows 10 or later (64-bit) macOS: macOS 11 or later (64-bit) Linux: Ubuntu 22.04 or later, and Debian Trixie (64-bit)

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

CLICK HERE►

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.

Unmatched Hardware Compatibility: Shields, Carriers and Modulino nodes

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 VENTUNO Q (ABX00181) connected to a Modulino node using a Qwiic connector

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.
- No soldering needed - Focus on building your next idea, little wiring and no soldering will help you to prototype faster.
- Chain-able MODULINOS - Connect multiple Qwiic compatible modules one after the other and expand the possibilities of your next project.
- Polarized connector - No worries about wrong connections, there is only a way to connect the board and the modules.
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.

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.

AI Assistants and Smart Home Use Cases

Offline Voice Assistant

Build a completely offline voice assistant capable of understanding natural language and executing commands, from controlling lights to setting reminders, without ever sending audio to the cloud. The VENTUNO Q’s powerful NPU handles the LLM locally, ensuring instant response times and total data security.

Local Agentic Hub

The VENTUNO Q acts as a central "Agentic" hub that can reason, plan, and execute multi-step tasks across connected devices, like checking security sensors, summarizing alerts, and deciding whether to notify you - all based on local logic.

Touchless Interface Kiosks

Transform public displays and home panels into touchless interfaces. Using advanced gesture recognition and gaze tracking, the VENTUNO Q allows users to navigate menus or control appliances with simple hand movements, perfect for kitchens or public terminals.

Real-Time Speech Translation

Deploy a universal translator for tourist kiosks, healthcare desks, or transport hubs. Using the board's up to 40 TOPS NPU, you can run advanced sequence-to-sequence models to instantly translate spoken language and synthesize speech back, enabling seamless multilingual communication.

Purpose-built for robotics and physical actuation

Arduino VENTUNO Q (ABX00181) board with camera mounted on a robot for edge AI applications

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.

Robotics & Motion Control Use Cases

Autonomous Mobile Robots (AMRs)

Build robots that map and traverse complex environments independently using Visual SLAM and path optimization running on the Linux processor, while the dedicated MCU handles real-time obstacle avoidance and motor drive. The VENTUNO Q turns navigation data into precise movement without the jitter of standard SBCs.

Vision-Guided Manipulators

Create robotic arms capable of precise pick-and-place operations. The VENTUNO Q processes high-speed camera feeds to identify and orient objects in 3D space, synchronizing perfectly with the MCU to control grippers and servos for automated sorting or assembly.

Companion & Service Robots

Design service robots that recognize their owners and follow them through dynamic environments using skeletal tracking and sensor fusion. Combine this with local voice recognition to create a responsive, helpful assistant for homes, hospitals, or retail spaces.

Smart City & Industrial Vision Use Cases

Edge Traffic Monitor

Deploy smart camera nodes that analyze traffic flow, count pedestrians, and detect congestion patterns instantly. Processing video locally on the VENTUNO Q reduces bandwidth costs and preserves privacy by transmitting only the insights, not the raw footage.

Automated Quality Inspection

Implement high-speed visual inspection systems that detect minute surface defects, cracks, or missing components on assembly lines. The VENTUNO Q runs anomaly detection models in real-time to trigger immediate rejections or alerts, optimizing production quality.

Proactive Site Security

Monitor industrial sites or public spaces for safety hazards. The VENTUNO Q can detect unauthorized access, identify safety gear compliance (PPE), or spot hazardous behaviors, triggering alarms instantly via its I/O.

Vision-Based Inventory Monitoring

Revolutionize stock management with always-on vision. The VENTUNO Q analyzes camera feeds to instantly identify missing, misplaced, or damaged items on shelves. By processing visual data locally, it triggers automatic restocking alerts or guides robotic corrections, ensuring accurate inventory for smart warehouses and unmanned stores without constant manual checks.

Education & Research Use Cases

Advanced AI Learning Kits

Provide students with a hands-on platform to train and deploy their own AI models. From teaching Computer Vision basics to running Generative AI at the edge, the VENTUNO Q makes advanced concepts accessible and tangible.

Rapid Research Prototyping

University labs and R&D departments can move from theory to functional prototype in record time. Whether testing new SLAM algorithms or experimenting with sensor fusion, the board’s compatibility with ROS 2 and Arduino sensors removes hardware friction.

Voice-Based Coding Assistant

Use the VENTUNO Q to build accessible coding tools where students can program logic using natural voice commands, converting speech into Arduino-style code in real-time.

Mobile Manipulation Research Platform

Students can build complex Mobile Manipulators that use the Linux core for Visual SLAM navigation to reach a target, and then seamlessly switch to the real-time MCU to control a robotic arm for precise grasping and sorting. This eliminates the need for bulky multi-board setups, streamlining the path from theory to functional prototype.

Frequently Asked Question

Q: What makes the Arduino® VENTUNO™ different from other edge AI boards?

A: 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.

Q: Which operating systems does VENTUNO Q support?

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

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

A: The M.2 connector supports NVMe SSDs.

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

A: 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! Arduino® App Lab accelerates development but never restricts your workflow.

Q: What AI models and frameworks does VENTUNO Q support?

A: 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.

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

A: 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.

Q: Does VENTUNO Q support ROS (Robot Operating System)?

A: Yes, VENTUNO Q is compatible with ROS 2.

*Terms and Conditions

Arduino® VENTUNO™ Q Bundle 12% Off Promotion

The Promotion offers 12% off the Arduino® VENTUNO™ Q Bundle.
The Promotion is valid from 00:00 (GMT) on 25 August 2026 until 23:59 (GMT) on 30 September 2026. Orders placed outside this period will not qualify.
The Promotion is available for online orders placed via the Newark website and direct orders placed through Newark sales channels.
No minimum spend is required to qualify for this Promotion.
The Promotion is limited to one Arduino® VENTUNO™ Q Bundle per customer (qty – 1 only) during the promotional period.
The Promotion cannot be used in conjunction with any other discount, promotional offer, coupon, rebate, special pricing agreement, or contract pricing arrangement.
The discount applies to the qualifying Arduino® VENTUNO™ Q Bundle only and does not apply to shipping charges, taxes, duties, or other applicable fees.
Participants are responsible for all applicable taxes, duties, or other charges payable in relation to their purchase. All prices and qualifying order values exclude VAT or other applicable indirect taxes unless otherwise stated.
We reserve the right to withdraw, amend, suspend, or extend this Promotion at any time where reasonably necessary for commercial, operational, or legal reasons.
To the maximum extent permitted by law, we exclude all liability arising from or in connection with this Promotion. Nothing in these Terms excludes liability for death or personal injury resulting from negligence, fraud, or any liability that cannot legally be excluded.
By participating in this Promotion, customers agree to be bound by these Terms and Conditions.