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Atlantik Elektronik is an authorized Qualcomm Technologies distributor and solution provider for the European market.
Arduino® VENTUNO™ Q is now available for preorder in the ATE STORE and will be shipped with the official product release on September 08, 2026.
The powerful platform is designed for applications where AI inference, vision, control and connectivity must work together efficiently and seamlessly. Its dual processor architecture combines the Qualcomm Dragonwing™ IQ-8275 with an STM32H5 microcontroller to enable parallel processing of AI, vision and workload management within a unified hardware and software environment.
Its powerful AI computing, local inference, deterministic real-time behavior and broad hardware compatibility, make VENTUNO™ Q particularly well suited for the efficient development of modern edge AI applications, such as autonomous robotics, intelligent vision systems, industrial control as well as local speech and image processing.
The Arduino® VENTUNO™ Q features 40 TOPS of NPU performance, 16 GB RAM, 64 GB of industrial eMMC storage, an RPC bridge for communication between the AI and control layers, and ROS 2 support for modern robotics and automation. This is further complemented by GPIO, PWM and CAN FD for precise motion control and industrial I/O.
In comparison to conventional multi-board architectures, VENTUNO™ Q requires lower integration effort while providing reduced latency and system complexity, which significantly streamlines the development process from evaluation to production-ready design.
Arduino® App Lab also provides a unified development environment for Arduino scripts, Python and AI workflows, significantly accelerating evaluation, prototyping and the implementation of local AI models.
When will Arduino® VENTUNO™ Q be available?
Arduino® VENTUNO™ Q is now available for preorder in the ATE STORE and will be shipped with the official product release on September 08, 2026.
What is the key advantage of Arduino® VENTUNO™ Q?
The platform combines AI inference and deterministic real time control on a shared hardware basis, reducing integration effort, latency and complexity.
Which applications is VENTUNO™ Q particularly suitable for?
Typical application areas include autonomous robotics, edge AI applications, vision systems, local speech processing and industrial control.