Qualcomm’s Arduino has announced the upcoming launch of Arduino VENTUNO Q, a platform designed for edge AI, robotics, and actuation. The board is powered by the Dragonwing IQ8 Series, providing high-performance AI processing and deterministic real-time control for offline autonomous systems.
Arduino VENTUNO Q
VENTUNO Q continues the dual-brain architecture of Arduino UNO Q and integrates the Qualcomm Dragonwing™ IQ8 Series for both traditional and generative AI workloads. It includes an NPU capable of up to 40 dense TOPS and a dedicated STM32H5 microcontroller for low-latency actuation and motor control. The platform has 16 GB RAM and expandable 64 GB storage.
Use Cases
- AI systems: Offline AI voice assistants with local LLM models, smart mirrors with gesture recognition, and kiosks using automatic speech recognition (ASR) and text-to-speech (TTS).
- Robotics: Pick-and-place robotic arms, service robots with owner-tracking, and autonomous navigation with Visual SLAM and path optimization.
- Edge vision and sensing: Security monitoring, traffic analysis, and automated quality inspection using local VLMs.
- Education and research: Teaching computer vision, generative AI, and prototyping AI solutions at the edge.
Development Environment
VENTUNO Q runs Ubuntu and Linux Debian on the main processor and Arduino Core on Zephyr OS on the microcontroller. It supports development using:
- Arduino App Lab: Unified environment for Arduino sketches, Python scripts, and pre-trained AI models (LLMs, VLMs, ASR, gesture recognition, pose estimation, object tracking) entirely offline.
- Edge Impulse Studio integration: For custom AI model deployment. Additional AI frameworks will be supported in future updates.
Hardware Features
- Industrial I/Os: CAN-FD, PWM, high-speed GPIO for precise actuation.
- ROS 2 support: Pre-configured for robotics workflows.
- High-speed connectivity: Multiple MIPI-CSI cameras, audio, displays, 2.5 Gb Ethernet.
- Compatibility: Works with UNO shields, Arduino Modulino nodes, Qwiic sensors, and Raspberry Pi Hats.
VENTUNO Q is designed for systems that move, react, and manipulate, combining a real-time microcontroller with an NPU-accelerated processor on a single board.
Quick Specs: Arduino VENTUNO Q
- Processor: Qualcomm Dragonwing IQ8 Series (AI NPU, up to 40 dense TOPS)
- Microcontroller: STM32H5
- RAM: 16 GB
- Storage: 64 GB, expandable
- Operating System: Ubuntu / Linux Debian (main processor), Arduino Core on Zephyr OS (microcontroller)
- Development Environment: Arduino App Lab, Edge Impulse Studio integration
- Connectivity: Multiple MIPI-CSI cameras, audio, display support, 2.5 Gb Ethernet
- I/O: CAN-FD, PWM, high-speed GPIO
- Compatibility: Arduino UNO shields, Modulino nodes, Qwiic sensors, Raspberry Pi Hats
Availability
The Arduino VENTUNO Q will be available in Q2 2026 from the Arduino Store and official resellers, including DigiKey, Farnell, Macfos, Mouser, and RS.
Speaking on the launch, Fabio Violante, VP & GM, Arduino, Qualcomm Technologies, Inc. said:
With VENTUNO Q, AI can finally move from the cloud into the physical world. This platform enables building machines that perceive, decide, and act — all on a single board. 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 significant step toward bringing real‑world intelligence to everyone.