Arduino® Ventuno™ Q
Edge AI, Robotics, and Real-Time Control on a Single Platform
VENTUNO™ Q is a powerful edge AI and robotics platform designed specifically for applications where perception, decision-making, and execution must run efficiently and seamlessly.
The platform’s dual-processor architecture combines the Dragonwing™ IQ-8275 with an STM32H5 microcontroller, enabling parallel processing and deterministic control of AI, vision, control, and connectivity workloads within a unified hardware and development environment.
The combination of powerful AI computing, local inference, real-time response, and broad hardware compatibility allows for more efficient development of advanced edge AI applications, autonomous robotics, intelligent vision systems, industrial control systems, and local speech and image processing.
Compared to traditional multi-board architectures, the VENTUNO™ Q significantly reduces integration effort, latency, and complexity, allowing developers, research teams, and OEMs to develop modern AI systems more efficiently, from prototypes to production-ready designs. As a result, applications for local LLM workloads, computer vision, motion control, or ROS 2 applications can be developed in a significantly more streamlined, efficient, and less complex approach.
Key Features of the Arduino® Ventuno™ Q
- Based on the Qualcomm Dragonwing™ IQ-8275 and STM32H5 Microcontroller
- Dual-processor architecture for AI inference and deterministic real-time control on a single board
- Up to 40 TOPS NPU performance for vision models, local LLMs, and multimodal AI
- 16 GB RAM for larger models, high-resolution image data, and parallel robotics workloads
- 64 GB industrial eMMC storage for operating system, frameworks, models, and data
- RPC bridge for seamless communication between AI and control layers
- ROS 2 support for modern robotics and automation applications
- GPIO, PWM, and CAN-FD for precise motion control and industrial I/O
- OS and development support via Arduino® App Lab for Arduino® sketches, Python, and AI workflows
Arduino® App Lab and AI Workflows for Streamlined Development
The Arduino® App Lab complements a unified development environment for embedded programming, Linux-based software development, and edge AI, where Arduino® scripts, Python scripts, and AI models can be created, tested, and optimized within a unified environment. It simplifies the VENTUNO™ Q development process and accelerates the transition from evaluation to functional prototypes.
In addition, the VENTUNO™ Q AI Workflow enables the use of a wide range of preconfigured AI models for integrated NPUs. When combined with Edge Impulse and the Qualcomm AI Hub, applications such as on-device LLMs, on-device VLMs, TTS, ASR, gesture recognition, object tracking, and motion detection can be efficiently implemented on the device itself without creating a dependency on the cloud or compromising data security.
Key Features: Arduino® App Lab and Ventuno™ Q AI Workflow
- Unified development environment for Arduino®, Python, and AI models
- Support for embedded programming, Linux development, and edge AI in a single workflow
- Suitable for local LLMs, VLMs, OCR, natural language processing, and multimodal AI
- Compatible with Edge Impulse and Qualcomm AI Hub
- Two setup modes: as a single-board computer or PC-based setup
- On-premises inference without cloud dependency for better latency and data sovereignty
- Faster evaluation and prototyping of AI and robotics applications
Develop Edge AI, Robotics, and Vision Applications with Atlantik Elektronik and Arduino®
As an experienced development partner for embedded systems, edge computing, AI, and robotics, Atlantik Elektronik supports you in selecting, evaluating, and implementing high-performance platform solutions using Arduino® VENTUNO™ Q. From hardware integration and platform evaluation to the efficient development of advanced edge AI, vision, and control applications, we provide practical, application-oriented support for your projects.
You can also find more information about our solutions for autonomous systems, Edge AI, AGVs, and robotics here on our website.
