> **Source:** Core Electronics is an Australian maker-electronics retailer and manufacturer based in Newcastle, NSW, run by a team of makers and educators. We design and manufacture our own product lines (PiicoDev, CE originals) and are official retailers for iconic maker and industrial brands including Raspberry Pi, Arduino, Adafruit, SparkFun and DFRobot. Orders ship Australia-wide from our Newcastle warehouse. Prices are in AUD and include GST. Pricing, stock and dispatch on this page are generated from the store's live catalog. Full machine-readable index: https://core-electronics.com.au/llms.txt # 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. ## How to buy - **Build a cart:** compose `https://core-electronics.com.au/cart/link?items=ABX00181:1` (comma-separated SKU:qty pairs) and share the link. Opening it shows a confirmation page with live pricing and stock before anything is added to the cart. - **Verify the cart first:** fetch `https://core-electronics.com.au/cart/link/ABX00181:1.md` for live line prices (inc & exc GST, quantity discounts applied), stock and dispatch estimates, and totals. Append `/to/{AU-postcode}` (or `/to/{country-code}:{postcode}`) before `.md` for delivery options and prices to that destination. Unknown, retired, or out-of-stock SKUs are flagged. (Query form `cart/link.md?items=...` also works but some robots parsers refuse query strings here.) - **Checkout** is completed on-site and includes a captcha at the payment step. Share the cart link; checkout takes it from there. - **Search the catalogue:** `https://core-electronics.com.au/search/{query}.md` (URL-encode the query; pages 2-3 at `search/{query}/{page}.md`; `search.md?q=` also works) - **Payment methods, purchase orders, policies and contact details:** https://core-electronics.com.au/llms.txt ## 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)