Forward of Embedded World, Arduino has introduced the upcoming launch of its latest platform to democratise edge AI, Arduino VENTUNO Q.
Named after the Italian phrase for twenty-one, VENTUNO Q builds on the enduring legacy of the favored Arduino UNO household and embodies the corporate’s coming of age because it prepares to have a good time its basis’s twenty first anniversary, later this month.
On the fringe of intelligence: The place AI takes motion
VENTUNO Q unites excessive‑efficiency AI compute with deterministic actual‑time management, enabling programs that don’t simply interpret the world — they work together with it.
The board builds upon a dual-brain structure just like Arduino UNO Q, but upgrades capabilities utilizing the Qualcomm Dragonwing IQ8 Sequence for each conventional and generative AI workloads, supported by NPU acceleration delivering as much as 40 dense TOPS, in addition to a devoted STM32H5 microcontroller for low‑latency actuation and motor management. As well as, VENTUNO Q comes with 16 GB RAM — in a position to deal with concurrent inference and sophisticated multitasking — and an expandable 64 GB of storage.
“With VENTUNO Q, AI can finally move from the cloud into the physical world. This platform makes it possible to build machines that perceive, decide and act — all on a single board.” mentioned Fabio Violante, the VP & GM of Arduino at Qualcomm Applied sciences “Our goal is to make advanced robotics and edge AI accessible to every developer, educator and innovator. VENTUNO Q is the natural evolution of Arduino’s mission, and a major step toward bringing real‑world intelligence to everyone.”
“VENTUNO Q reflects our shared commitment to make edge AI more powerful and more accessible,” mentioned Nakul Duggal, the EVP and Group GM of automotive, industrial and embedded IoT at Qualcomm Applied sciences “By uniting Arduino’s developer ecosystem with the power of Dragonwing processors, we are making advanced edge AI available to millions of developers worldwide. This platform paves the way for a fresh surge of creativity and innovation, where devices and solutions can instantly comprehend their surroundings and respond, all at the edge.”
With VENTUNO Q, customers will be capable of prototype and construct options for a wide range of fields, working absolutely autonomous AI brokers offline. For instance:
- AI-powered programs: utterly offline AI voice assistants working native LLM fashions; sensible mirrors that reply to gestures; vacationer kiosks, healthcare desks, or transport hubs that use computerized speech recognition (ASR) and text-to-speech (TTS) on the sting.
- Robotics and movement management: exact pick-and-place robotic arms guided by imaginative and prescient; service robots that recognise and observe their house owners throughout dynamic environments; autonomous robots that navigate advanced environments independently utilizing Visible SLAM and path optimisation.
- Edge AI imaginative and prescient and sensing programs: proactive safety programs that spot hazardous behaviours; site visitors monitoring gadgets that course of advanced information on the sting; automated high quality inspection that use native VLMs to detect minute defects or lacking elements.
- Training and analysis: VENTUNO Q can function a key device to show something from pc imaginative and prescient to generative AI on the edge, and is the best platform to shortly and simply develop useful prototypes in document time.
A unified growth expertise that removes limitations
VENTUNO Q eliminates multi-device complexity as a result of it delivers synchronised notion, choice and motion on a single board. The primary processor runs Ubuntu and Linux Debian with upstream help, whereas the actual‑time microcontroller runs the Arduino Core on Zephyr OS, guaranteeing deterministic behaviour for time‑essential duties.
What’s extra, it permits customers to construct advanced AI programs sooner than ever by means of the seamless Arduino App Lab setting, providing a unified growth expertise throughout Arduino sketches, Python scripts, and a variety of ready-to-use AI fashions — together with native LLMs, VLMs, computerized speech recognition, gesture recognition, pose estimation and object monitoring totally offline powered by Qualcomm AI Hub. And for superior initiatives which require customized AI fashions, Arduino App Lab is now built-in with Edge Impulse Studio. Extra AI frameworks will likely be supported quickly.
Designed to democratise innovation
VENTUNO Q may be linked to a PC or used as a single-board pc (SBC). Not like general-purpose AI SBCs, it’s engineered from the bottom up for machines that transfer, react and manipulate.
Along with tightly integrating a real-time MCU and an NPU-accelerated MPU, on the {hardware} aspect it options:
- Industrial I/Os that embody native CAN‑FD, PWM and high-speed GPIO for exact bodily management;
- ROS 2-ready workflows and robotics use circumstances are baked instantly into the platform;
- Excessive-speed connectors for a number of MIPI‑CSI cameras (with the flexibility to course of a number of feeds with AI), superior audio, shows and a couple of.5 Gb Ethernet.
Mixed with unmatched {hardware} compatibility — VENTUNO Q works out‑of‑the‑field with UNO shields and carriers, Arduino Modulino nodes and Qwiic sensors, in addition to Raspberry Pi Hats — these options make for one among essentially the most versatile and developer‑pleasant Edge AI ecosystems ever constructed.
Arduino VENTUNO Q will likely be out there in Q2 2026 from the Arduino Retailer, in addition to through our community of official resellers together with DigiKey, Farnell, Macfos, Mouser and RS. Enroll at the moment for updates at https://www.arduino.cc/product-ventuno-q
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