Where AI takes action

VENTUNO Q is available from the Arduino Store and official distribution partners – DigiKey, Farnell, Mouser, Robu.in, RS, and many others worldwide.

Yes, VENTUNO Q is a real, standard Ubuntu computer. This means you can use standard IDEs such as VS Code, PyCharm, Eclipse, Vim, Emacs, Python virtual environments and package managers, Docker containers for isolated environments, SSH remote development and headless operation. Any framework or toolchain you prefer! Arduino App Lab is the fast path, not a requirement.

VENTUNO Q delivers up to 40 dense TOPS of AI compute, supporting Qwen 3 4B LLM; Qwen 2.5 7B and 3 4B VLM; Gemma 4 E2B and E4B; Whisper ASR; Melo and Piper TTS; YoloX small object detection; MediaPipe gesture recognition; and more.

Get started with ready-to-run Bricks, optimized for the onboard NPU through Qualcomm® AI Hub. For generative AI use cases, VENTUNO Q supports LLM inference via llama.cpp and GGUF models, ideal for running locally at the edge. You can also run these models with GenieX, the open-source Gen AI runtime by Qualcomm. At the same time, you can work with familiar frameworks like PyTorch and other advanced AI stacks, enabling custom model development, optimization, and deployment tailored to specific applications.

VENTUNO Q is designed to take you from idea to deployed application – not just working prototype. At the heart of this experience is Arduino App Lab, a complete end-to-end platform for building, deploying, and managing AI applications that goes well beyond what any other edge AI board offers today, making professional-grade edge AI accessible at every skill level.

A dual-brain architecture of VENTUNO Q combines up to 40 dense TOPS of AI compute with a dedicated real-time microcontroller, enabling both intelligent inference and deterministic actuation in a single board. This is ideal for robotics, industrial control, and any application where AI must interact with the physical world. Broad ecosystem compatibility with UNO shields, Raspberry Pi Hats, and Modulino nodes keeps prototyping fast and familiar.

VENTUNO Q ships with pre-loaded Ubuntu, distributed by Canonical, and bundled with Ubuntu Pro license that delivers enterprise-grade security updates - which make it immediately viable for professional, commercial, and industrial developers. It supports Debian (coming soon) with full upstream. It supports for embedded-focused development. The microcontroller side of its dual architecture runs the Arduino Core on Zephyr RTOS.

VENTUNO Q comes with 16 (2 X 8) GB of LPDDR5 RAM and 64 GB of eMMC onboard storage, working together so you can run real AI on the board — on the edge and offline.

16 GB RAM is your fast working memory — enough to load generative models (LLMs and VLMs like Qwen 3 and Gemma 4, plus larger GGUF models), run inference, and keep your app and Ubuntu going all at once. That's roughly double the memory of typical 8 GB edge boards, so you can work with bigger models and richer multimodal pipelines without hitting a ceiling.

64 GB onboard storage is where Ubuntu, your AI models, your application, and your data live. Because VENTUNO Q boots and runs from fast, soldered-down storage rather than a removable microSD card, you get reliable, repeatable boots and performance built to ship and stay in the field.

The M.2 connector supports NVMe SSDs.

Absolutely. You can train your own models on 3rd-party and custom inference engines. We recommend using Edge Impulse’s integrated platform to upload your training data, train models on the cloud infrastructure, and automatically optimize and quantize for VENTUNO Q hardware – then you can deploy directly into Arduino App Lab with one click!

Yes, VENTUNO Q is compatible with ROS 2.

Yes. Through the Works with Arduino™ Program, VENTUNO Q gives you a clear path from prototyping to production. Develop and validate on VENTUNO Q, then move to a third-party SOM built on the same Qualcomm Dragonwing™ IQ8 — scaling your product while preserving your software investment, since compatible Arduino Apps port across with zero code changes. Certified partners include SECO, with its SOM-SMARC-Dragonwing-IQ8 and Clea software platform, and Toradex, with its Aquila IQ8 and Torizon platform. And more OEMs are collaborating with Arduino and Qualcomm to bring additional Works with Arduino certified products to market.

Learn more about the Works with Arduino Certification Program.