# Arduino VENTUNO Q

**Type:** Product page · **SKU:** ABX00181 · **Brand:** [Arduino](https://core-electronics.com.au/arduino.html)
**Page:** https://core-electronics.com.au/arduino-ventuno-q.html ([markdown](https://core-electronics.com.au/arduino-ventuno-q.html.md))

An edge-AI computer pairing a 40 TOPS Qualcomm Dragonwing IQ8 with an STM32H5 microcontroller for on-device AI and real-time control.

> ⚠ Limited to 1 per order. Need more? Join the waitlist by email and we'll let you know when more are available.

## Pricing

- **Price:** $779.06 (inc GST) — $708.24 AUD, exc GST

## Availability & dispatch

- In stock, ships same business day if ordered before 2PM (Australia/Sydney).
- We can dispatch 10 today; more stock is typically available with a 10–14 day lead time.

## Description

An edge-AI single-board computer that can see, understand, and physically respond to the world around it. Perception, decision-making and actuation all happen on the board, with no cloud dependency and no data leaving the device.

Two processors with different purposes share the work over a high-speed RPC bridge. A Qualcomm Dragonwing IQ8 (IQ-8275) with an 8-core ARM CPU, an Adreno GPU, Spectra 692 ISP, and a Hexagon NPU rated at up to 40 dense TOPS, all on one SoC, runs your neural networks, vision pipelines and language models. Alongside it, an STM32H5F5 Cortex-M33 runs the Arduino core on Zephyr for sub-millisecond, deterministic control of motors, robots and industrial I/O. On-device intelligence and real-time actuation usually take two separate systems; here they share one 160 × 100 mm board.

Everything is developed in Arduino App Lab, where Arduino sketches, Python scripts, Linux applications and AI models sit side by side. Use the board as a standalone computer with a monitor, keyboard and mouse on an Ubuntu or Debian desktop, or connect from your existing laptop over USB-C or Ethernet.

It works with hardware you may already own: Arduino UNO shields on the UNO headers, Raspberry Pi HATs on the standard 40-pin GPIO header, and Qwiic, PiicoDev, STEMMA QT and Modulino I2C modules through the solder-free Qwiic connector. Plan for around 25 W of power draw: through USB-C PD, a barrel jack or the screw terminals.

We recommend a [12 V Power Supply](https://core-electronics.com.au/12v-5a-switching-power-supply-45158.html), along with [a compatible IEC adapter](https://core-electronics.com.au/2m-iec-c13-10a-3-pin-black-appliance-mains-lead.html), or, once set up, [a 65+ W USB-C supply](https://core-electronics.com.au/65w-usb-and-usb-c-wall-charger-with-pd.html) and [a high-quality USB-C cable](https://core-electronics.com.au/usb3-usbc-to-usbc-cable-1m.html).

### Features

- Runs language, vision-language and speech models fully offline, with a curated library that includes Qwen LLM and VLM, Whisper transcription and Melo TTS
- Recognises gestures, tracks objects and detects poses on-device using ready-to-run MediaPipe, YOLO-X and PoseNet models
- Gets complex systems prototyped quickly with App Lab Bricks: reusable blocks for IoT endpoints, audio and image recognition, database queries and more
- Keeps actuator control deterministic, with native ROS 2 support and GPIO, PWM and CAN-FD handled by the dedicated real-time microcontroller
- Connects to industrial and vehicle networks through five CAN-FD channels, one with an onboard transceiver on a screw terminal
- Moves data quickly over 2.5 Gb Ethernet, Wi-Fi 6 and Bluetooth 5.3, with onboard antennas
- Handles several cameras and displays at once via MIPI-CSI, USB cameras, HDMI or MIPI-DSI, and DisplayPort Alt Mode over USB-C
- Expands storage beyond the 64 GB eMMC with an M.2 2230 slot for an NVMe Gen 4 SSD
- Supports custom carrier designs, with high-speed JMEDIA, JOMEGA and JMISC headers for cameras, displays, audio and extra USB and CAN

### Arduino VENTUNO Q Specifications

| Property | Value |
|---|---|
| AI processor (MPU) | Qualcomm Dragonwing IQ8 (IQ-8275): 8-core ARM CPU, Adreno GPU @ 877 MHz, Hexagon NPU up to 40 dense TOPS, Spectra 692 ISP |
| Operating system | App Lab running on Ubuntu or Debian |
| Microcontroller (MCU) | STM32H5F5 ARM Cortex-M33 @ 250 MHz, 4 MB flash, 1.5 MB RAM; Arduino core on Zephyr |
| Memory | 16 GB LPDDR5 |
| Storage | 64 GB eMMC; add your own with the M.2 connector for NVMe Gen 4 SSD (2230) |
| Wireless | Wi-Fi 6 (2.4/5/6 GHz), Bluetooth 5.3, onboard antennas |
| Wired networking | 1 × 2.5 Gb Ethernet (RJ45) |
| Cameras | USB camera support; 3 × MIPI-CSI (muxed with 2 more on JMEDIA header) |
| Display | HDMI (muxed with MIPI-DSI), USB-C DisplayPort Alt Mode, MIPI-DSI on JMEDIA |
| Audio | 2 × mic in, headphone, ear and line out on JMISC header |
| USB | 1 × USB-C (host/device/power role switching, video), 2 × USB 3.0 Type-A, 2 × USB 3.0 on JOMEGA header |
| CAN | 1 × CAN-FD with PHY (screw terminal), 3 × CAN-FD on JOMEGA, 1 × CAN-FD on the UNO shield headers |
| Expansion | Arduino UNO shield headers, 40-pin Raspberry Pi HAT-compatible GPIO header, Qwiic connector, JMEDIA, JOMEGA and JMISC headers |
| Power input | USB-C 9-20 V, 3 A  5.5 × 2.1 mm jack 12-24 V, 5 A max  Screw terminal 7-24 V, 10 A max |
| Power consumption | Approximately 25 W+ during typical use, a 60 W+ supply is recommended |
| Dimensions | 160 × 100 × 25.8 mm |

### Resources

- [VENTUNO Q Tutorials](https://docs.arduino.cc/hardware/ventuno-q/#tutorials) (Arduino Docs)
- [User Manual](https://docs.arduino.cc/tutorials/ventuno-q/user-manual/)
- [First Setup Guide](https://docs.arduino.cc/tutorials/ventuno-q/first-setup/)
- [Official 3D-Printable Enclosure Case](https://www.printables.com/model/1821574-arduino-ventuno-q-enclosure-case) (Printables): prints in PLA, PETG or ABS and assembles with 10 × M3 × 6 mm flathead screws

## Images

- [Product image 1](https://core-electronics.com.au/media/catalog/product/a/b/abx00181-ardunio-ventuno.jpg)