
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.
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.
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.
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.
| 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 |
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:
VENTUNO Q is purpose-built for robotics and autonomous machines.
Key capabilities include:
VENTUNO Q is ideal for:
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 |
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.