Arduino VENTUNO Q Edge AI SBC, 16GB RAM, 64GB eMMC, Qualcomm Dragonwing IQ-8275
- RS Stock No.:
- 878-176
- Mfr. Part No.:
- ABX00181
- Brand:
- Arduino
Subtotal (1 unit)*
£256.79
(exc. VAT)
£308.15
(inc. VAT)
FREE delivery for orders over £60.00
Temporarily out of stock
- 100 unit(s) shipping from 14 September 2026
- Plus 150 unit(s) shipping from 01 October 2026
- Plus 50 unit(s) shipping from 02 April 2027
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Units | Per unit |
|---|---|
| 1 + | £256.79 |
*price indicative
- RS Stock No.:
- 878-176
- Mfr. Part No.:
- ABX00181
- Brand:
- Arduino
Specifications
Technical Reference
Legislation and Compliance
Product Details
Find similar products by selecting one or more attributes.
Select all | Attribute | Value |
|---|---|---|
| Brand | Arduino | |
| Product Type | Development Board | |
| Product Name | VENTUNO Q Edge AI SBC, 16GB RAM, 64GB eMMC, Qualcomm Dragonwing IQ-8275 | |
| Kit Classification | Microcontroller Board | |
| Processor Part Number | QCS8275 | |
| Select all | ||
|---|---|---|
Brand Arduino | ||
Product Type Development Board | ||
Product Name VENTUNO Q Edge AI SBC, 16GB RAM, 64GB eMMC, Qualcomm Dragonwing IQ-8275 | ||
Kit Classification Microcontroller Board | ||
Processor Part Number QCS8275 | ||
- COO (Country of Origin):
- TW
Arduino VENTUNO™ Q
Arduino VENTUNO™ Q is a powerful edge AI and robotics platform that combines Advanced artificial intelligence, Linux computing and real-time control on a single board. Designed for robotics, machine vision, industrial automation and intelligent edge applications, it enables developers to create systems that can sense, decide and act locally without relying on Cloud connectivity.
Built around a dual-brain architecture, VENTUNO Q combines a Qualcomm® Dragonwing™ IQ8 processor with a dedicated STM32H5 microcontroller. This unique design enables high-performance AI workloads such as computer vision, large language models (LLMs) and multimodal AI inference while maintaining deterministic, low-latency control for motors, actuators and industrial interface.
With 16GB LPDDR5 RAM, 64GB industrial-grade eMMC storage, Ubuntu Linux support and ROS 2 compatibility, VENTUNO Q provides a scalable development platform for autonomous robots, intelligent monitoring systems, machine Vision projects and next-generation AI applications.
Why Choose Arduino VENTUNO™ Q?
• Dual-brain architecture combining AI processing and real-time control.
• Qualcomm® Dragonwing™ IQ8 processor with up to 40 TOPS AI acceleration.
• Dedicated STM32H5 microcontroller for deterministic motor control and industrial automation.
• Run AI models locally, including computer vision, speech and generative AI applications.
• Ubuntu Linux support with access to Docker, VS Code, PyCharm and Jupyter development tools.
• Arduino App Lab provides a unified environment for Arduino sketches, Python applications and AI workflows.
• ROS 2-ready platform designed for robotics and autonomous systems.
• Built-in Wi‑Fi® 6, Bluetooth® 5.3 and 2.5Gb Ethernet connectivity.
• Compatible with Arduino UNO™ shields, Qwiic® modules and Raspberry Pi HATs.
• Qualcomm® Dragonwing™ IQ8 processor with up to 40 TOPS AI acceleration.
• Dedicated STM32H5 microcontroller for deterministic motor control and industrial automation.
• Run AI models locally, including computer vision, speech and generative AI applications.
• Ubuntu Linux support with access to Docker, VS Code, PyCharm and Jupyter development tools.
• Arduino App Lab provides a unified environment for Arduino sketches, Python applications and AI workflows.
• ROS 2-ready platform designed for robotics and autonomous systems.
• Built-in Wi‑Fi® 6, Bluetooth® 5.3 and 2.5Gb Ethernet connectivity.
• Compatible with Arduino UNO™ shields, Qwiic® modules and Raspberry Pi HATs.
Typical Applications
Arduino VENTUNO™ Q is Ideal for:
• Autonomous mobile robots
• Pick-and-place robotic systems
• Drones and navigation platforms
• Machine Vision and object detection
• Industrial automation and predictive maintenance
• Automated quality inspection
• Smart city and traffic monitoring
• Offline AI assistants and voice interfaces
• Edge AI and intelligent IoT devices
• Computer Vision research and education
• Generative AI and embedded AI development
• Autonomous mobile robots
• Pick-and-place robotic systems
• Drones and navigation platforms
• Machine Vision and object detection
• Industrial automation and predictive maintenance
• Automated quality inspection
• Smart city and traffic monitoring
• Offline AI assistants and voice interfaces
• Edge AI and intelligent IoT devices
• Computer Vision research and education
• Generative AI and embedded AI development
Advanced Features
• Microprocessor: Qualcomm® Dragonwing™ IQ8 (QCS8275) with up to 40 TOPS AI acceleration
• Microcontroller: Real-time STM32H5 Cortex®-M33 MCU running Arduino Core on Zephyr RTOS
• RAM: 16GB LPDDR5 memory for AI inference and multitasking
• Storage: 64GB industrial-grade eMMC with M.2 NVMe expansion support
• Connectivity: Wi‑Fi® 6 (2.4/5/6GHz), Bluetooth® 5.3 and 2.5Gb Ethernet
• Camera interfaces: Support for up to three MIPI-CSI cameras for machine Vision applications
• Industrial I/O: Native CAN-FD, PWM, SPI, I²C/I³C and UART interfaces
• Robotics-ready: ROS 2 compatible platform for autonomous and robotic systems
• Arduino App Lab: Develop AI models, Python applications and Arduino sketches in a unified environment
• Expansion options: Compatible with Arduino UNO™ shields, Qwiic® devices and Raspberry Pi HATs
• USB connectivity: USB-C with video output Plus USB 3.0 ports for peripherals and accessories
• LED indicators: 8 x 13 LED Matrix and four RGB user-controllable LEDs
• Microcontroller: Real-time STM32H5 Cortex®-M33 MCU running Arduino Core on Zephyr RTOS
• RAM: 16GB LPDDR5 memory for AI inference and multitasking
• Storage: 64GB industrial-grade eMMC with M.2 NVMe expansion support
• Connectivity: Wi‑Fi® 6 (2.4/5/6GHz), Bluetooth® 5.3 and 2.5Gb Ethernet
• Camera interfaces: Support for up to three MIPI-CSI cameras for machine Vision applications
• Industrial I/O: Native CAN-FD, PWM, SPI, I²C/I³C and UART interfaces
• Robotics-ready: ROS 2 compatible platform for autonomous and robotic systems
• Arduino App Lab: Develop AI models, Python applications and Arduino sketches in a unified environment
• Expansion options: Compatible with Arduino UNO™ shields, Qwiic® devices and Raspberry Pi HATs
• USB connectivity: USB-C with video output Plus USB 3.0 ports for peripherals and accessories
• LED indicators: 8 x 13 LED Matrix and four RGB user-controllable LEDs
Why is the VENTUNO™ Q Different from Standard Development Boards?
Unlike traditional development boards that focus solely on computing performance or microcontroller-based control, VENTUNO Q combines Advanced AI processing, Linux computing and deterministic real-time control within a single platform. This hybrid architecture allows developers to run AI models, machine Vision applications and Linux workloads while simultaneously controlling motors, sensors and industrial systems with real-time precision. The result is a powerful platform for building intelligent machines that can perceive, reason and act entirely at the edge.