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Getting Started with Arduino VENTUNO Q

Arduino VENTUNO Q: The Next Generation AI, Robotics and Edge Computing Platform

Introduction

As Artificial Intelligence (AI), robotics, and autonomous systems continue to evolve, developers require hardware capable of performing intelligent decision-making directly at the edge. Traditional embedded systems often rely on multiple devices — an AI computer for perception and a microcontroller for hardware control — adding complexity, latency, and cost.

The Arduino VENTUNO Q redefines this workflow by integrating high-performance AI computing and deterministic real-time control into a single development platform. Designed for Edge AI, robotics, industrial automation, and computer vision, the VENTUNO Q enables developers to build intelligent systems that can perceive, decide, and act — all on one board.

1

What is Arduino VENTUNO Q?

Arduino VENTUNO Q is Arduino's most advanced embedded AI platform to date. It combines a powerful Qualcomm Dragonwing™ IQ8 processor with a dedicated STM32H5 real-time microcontroller, creating a heterogeneous dual-brain architecture capable of running Linux applications, AI models, and real-time hardware control simultaneously.

Unlike traditional Arduino boards, the VENTUNO Q is purpose-built for applications that require high-performance AI inference alongside precise interaction with the physical world.

2

Why is VENTUNO Q Different?

Traditional embedded AI systems typically require multiple devices. With the Arduino VENTUNO Q, everything runs on a single board — reducing system complexity, minimizing latency, and enabling completely offline AI applications.

Traditional Workflow
Camera

AI Computer

Arduino

Hardware
VENTUNO Q Workflow
Camera

AI Processing

STM32 Control

Hardware
3

Dual-Brain Architecture

The Qualcomm processor handles AI inference, Linux applications, multimedia, networking, and robotics frameworks, while the STM32H5 ensures deterministic real-time control of motors, sensors, and industrial interfaces.

Qualcomm Dragonwing IQ8
(Linux + AI)
RPC Bridge
STM32H5 Microcontroller
(Real-Time Hardware Control)
4

Key Features

Dedicated AI processor with up to 40 TOPS of neural processing
Linux (Ubuntu or Debian) operating system
Real-time STM32H5 microcontroller
Native support for AI, robotics, and automation
Arduino App Lab integration
Docker and Linux development support
ROS 2 compatibility
Multiple camera interfaces
Industrial communication interfaces
Wi-Fi 6, Bluetooth 5.3, and 2.5 Gigabit Ethernet
Support for Arduino Shields, Raspberry Pi HATs, Modulino nodes, and Qwiic sensors
5

Technical Specifications

Category Specification
Main Processor Qualcomm Dragonwing™ IQ8 (IQ-8275)
CPU 8-Core Qualcomm Kryo
GPU Qualcomm Adreno 623
AI Processor Qualcomm Hexagon NPU
AI Performance Up to 40 Dense TOPS
Image Processor Qualcomm Spectra 692 ISP
Operating System Ubuntu or Debian Linux
Real-Time MCU STM32H5F5
MCU Architecture ARM Cortex-M33
MCU Clock 250 MHz
MCU Flash 4 MB
MCU RAM 1.5 MB
Real-Time OS Arduino Core on Zephyr OS
System RAM 16 GB LPDDR5
Internal Storage 64 GB Industrial eMMC
Storage Expansion M.2 NVMe Gen4 SSD
Wireless Wi-Fi 6 (2.4 / 5 / 6 GHz)
Bluetooth Bluetooth 5.3
Ethernet 2.5 Gigabit RJ45
USB 1× USB-C, 2× USB 3.0 Type-A
Camera Support USB Cameras + Triple MIPI CSI
Display Support HDMI, USB-C DisplayPort Alt Mode, MIPI DSI
Audio Microphone In, Headphone Out, Line Out
CAN CAN-FD
GPIO High-Speed GPIO
PWM Supported
Expansion UNO Shields, Raspberry Pi HATs, Modulino, Qwiic
Power Input USB-C (5V/3A), DC Jack (12–24V), Screw Terminal (7–24V)
Dimensions 160 × 100 × 25.8 mm
6

AI Capabilities

VENTUNO Q is designed for modern AI workloads and supports ready-to-deploy models through Arduino App Lab, Qualcomm AI Hub, and Edge Impulse.

Supported AI applications include:

Local Large Language Models (LLMs)
Vision Language Models (VLMs)
Automatic Speech Recognition (ASR)
Text-to-Speech (TTS)
Object Detection
Object Tracking
Gesture Recognition
Pose Estimation
Image Classification
⚙️ Custom AI Models
7

Robotics Features

VENTUNO Q is purpose-built for robotics and autonomous machines.

Key capabilities include:

  • ROS 2 compatibility
  • Deterministic motor control
  • High-speed GPIO
  • CAN-FD communication
  • Multi-camera perception
  • Real-time actuation
  • Vision-guided robotics
  • Industrial automation workflows
8

Real-World Applications

VENTUNO Q is ideal for:

Autonomous Mobile Robots
Industrial Automation
Smart Manufacturing
Edge AI Vision Systems
Smart Surveillance
Offline AI Assistants
Human-Machine Interfaces
Healthcare Devices
Predictive Maintenance
Smart Agriculture
Research and Education
9

Why Choose VENTUNO Q?

VENTUNO Q simplifies development by bringing AI inference, Linux applications, and deterministic hardware control together in one cohesive platform.

Traditional Edge AI Setup Arduino VENTUNO Q
Multiple boards ✓ Single board
Separate AI computer ✓ Integrated AI processor
External microcontroller ✓ Built-in STM32H5
Higher latency ✓ Real-time response
Complex integration ✓ Unified Arduino App Lab
Limited hardware compatibility ✓ Arduino + Raspberry Pi ecosystem
10

Conclusion

Arduino VENTUNO Q marks a significant evolution of the Arduino ecosystem. By combining an AI-accelerated Qualcomm processor, a real-time STM32 microcontroller, and a unified software environment, it empowers developers to build intelligent, connected, and autonomous systems without the complexity of traditional multi-device architectures.

Whether you're developing robotics, industrial automation, computer vision systems, or next-generation Edge AI applications, the Arduino VENTUNO Q provides a powerful platform that bridges perception, decision-making, and action — all on a single board.

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