Arduino has just announced the launch of their latest board, the Arduino® VENTUNO™ Q, a board that features a Qualcomm Dragonwing™ IQ-8275 processor, at Embedded World, but what exactly is it, and why should we be excited about it?
A render of the VENTUNO Q.
Well, here’s what we know so far… The VENTUNO Q is the 2nd board that Arduino has developed since they announced that they had been acquired by Qualcomm in October 2025. They quickly launched the UNO Q, which we covered in our Meet the Arduino® UNO Q article… but what sets the VENTUNO Q apart?
Key Features of the Arduino VENTUNO Q
Like the UNO Q, the VENTUNO Q aims to democratise AI, and as Arduino has put it: “Empowering developers to turn AI users into AI creators” – The combination of the dual-brain architecture and Arduino® App Lab positions VENTUNO Q as a true powerhouse for AI and robotics applications. Let’s take a closer look at exactly what makes this the edge AI computer that redefines what’s possible.
VENTUNO Q’s Dual Brain Architecture
VENTUNO Q brings perception, decision, and action onto a single board, it eliminates complexity, latency, and the cost of multi-device setups. At the heart of the board is a Dragonwing IQ-8275 and STM32H5 microcontroller, which communicate seamlessly via RPC (Remote Procedure Call) bridge.
- The AI Brain: The Qualcomm Dragonwing™ IQ-8275 processor delivers NPU, CPU, and GPU for complex neural network inference.
- The Action Brain: The STM32H5F5 microcontroller enables sub-millisecond response to guarantee stable, deterministic control for robotics, motion systems, and industrial interfaces.
- NPU: VENTUNO Q boasts a powerful 40 TOPS NPU to deploy vision models, LLMs, and multi-modal AI at the edge with real-time inference performance.
- RAM: Its 16GB RAM enables users to load larger models, process high-res imaging, and run intensive robotics algorithms smoothly.
- eMMC: The 64GB eMMC delivers Industrial-grade storage for OS, frameworks, models, and data, plus M.2 connector NVMe Gen.4 storage expansion. Reliable under any conditions.
- Triple MIPI-CSI Camera Support: Three 4-lane interfaces for 360° awareness, stereo depth perception, and multi-angle inspection.
- Display Outputs: MIPI-DSI for touchscreens and interactive panels, HDMI for monitors and projectors, USB-C DisplayPort Alt Mode for versatile video output.
- Wireless & Wired Networking: Tri-band Wi-Fi® 6 (2.4/5/6 GHz) and Bluetooth® 5.3 for wireless connectivity. 2.5 Gb Ethernet.
- Universal USB Connectivity: USB-C for high-speed vision and audio data transfer. Dual USB-A 3.0 ports for peripherals and storage.
- Industrial I/O & Control: CAN-FD for professional motor controllers and industrial networks. PWM and deterministic GPIO for sub-millisecond response.
A render of the front of the Arduino VENTUNO Q.
A render of the back of the Arduino VENTUNO Q.
Arduino App Lab – Enabling Seamless Development
When Arduino launched the UNO Q in October 2025, they also launched the App Lab. App Lab allows users to develop Arduino sketches, Python scripts, and AI models in one consistent environment. It seamlessly bridges embedded programming, Linux development, and edge AI, giving you a single environment for your entire application stack. We previously delved deeper into the App Lab and explored what it means for engineers.
Ready-to-run AI Models
App Lab isn’t the only thing that’s going to accelerate development, there’s also a wide range of AI models powered by Edge Impulse and Qualcomm AI Hub optimised for the integrated NPU of VENTUNO Q:
- Qwen for sophisticated natural language understanding entirely on-device, without cloud dependencies or data transmission.
- Qwen VLM combine visual perception with natural language understanding for image captioning, scene description, OCR, and more.
- Melo TTS and Whisper to allow offline devices to understand natural speech, transcribe, and give human-like responses.
- Recognise hand gestures, finger movements, and sign language for touchless interfaces and human-robot interaction, using models like MediaPipe.
- Use YOLO-X (You Only Look Once - eXtended) to track people, vehicles, or objects in real-time across multiple camera views.
- Track body pose, joint positions, and movement patterns with models like PoseNet. For fitness applications, safety monitoring, and interactive gaming.
This screenshot shows the capabilities of App Lab.
Real-world Applications of VENTUNO Q
It’s early days, but from what we know about the VENTUNO Q so far, and what we’ve seen with the UNO Q and App Lab, the VENTUNO Q will certainly excel in AI-powered systems, robotics and motion control, Edge AI vision and sensing systems, and as an education and research platform.
Conclusion
Once again, Arduino delivers a super interesting edge AI computer in the form of the VENTUNO Q. Its dual-brain architecture, combining the Dragonwing™ IQ-8 and STM32H5 microcontroller, with the App Lab, makes this a real contender for your AI and robotics applications. I’m all for democratising tech, the VENTUNO Q looks like it can take you from prototyping to production with zero friction, and I can’t wait to get my hands on one!
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Drop a comment below, and let me know what you’d create with the VENTUNO Q.
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