TME Showcases Arduino VENTUNO Q at electronica
The single-board computer pairs a Qualcomm AI processor with an STMicroelectronics microcontroller for edge AI and robotics projects.
Updated on Nov. 11, 2026 in Semiconductors
TME showcased the Arduino VENTUNO Q at electronica, a high-performance single-board computer aimed at Edge AI, robotics, and real-time control applications. The board combines two processing units in one device, with a Linux-based AI Brain and a deterministic Action Brain.
Why it matters
Building an autonomous robot or AI-enabled machine previously required pairing a single-board computer for AI vision with a separate Arduino or PLC for motors and sensors. Combining both on one board may simplify development for engineers working on edge AI systems.
The AI Brain is an eight-core Qualcomm Dragonwing IQ8 (QCS8275) system-on-chip with an Adreno 623 GPU, a Hexagon Tensor NPU rated at 40 TOPS, and 16GB LPDDR5 RAM. The Action Brain is an STMicroelectronics STM32H5 microcontroller based on the 32-bit Arm Cortex-M33 core, and pricing and availability were not specified.
The players
Arduino VENTUNO Q
A single-board computer from Arduino designed for Edge AI, robotics, and real-time control, combining a Qualcomm AI processor with an STMicroelectronics microcontroller.
TME
A European electronics components distributor that showcased the Arduino VENTUNO Q and Panasonic chip resistors at electronica.
The details
The VENTUNO Q uses a heterogeneous architecture in which the AI Brain runs Linux, AI models, and applications, while the Action Brain handles deterministic device control and real-time industrial interface management. The two brains communicate through a remote procedure control (RPC) mechanism within a single development environment, condensing a split-system design onto one board.
Timeline
2026: TME showcased the Arduino VENTUNO Q at the electronica trade show.
The Tech Race
The VENTUNO Q extends the traditional workflow of pairing a Raspberry Pi-class AI computer with a separate Arduino microcontroller by merging both into one board. This positions Arduino against single-board competitors that rely on external real-time controllers for robotics and industrial edge AI.
Developers building robots or AI-enabled machines could use one board in place of a separate AI computer and microcontroller, reducing wiring and integration work. Pricing, availability, and purchase channels were not provided in the source material.
The takeaway
Consolidating AI processing and real-time control on one board could lower the barrier for engineers building edge AI and robotics systems. Readers interested in the product should watch for pricing and availability details as they are announced.
Further reading
For more on the chips powering devices like this, explore Semiconductors.
Source note: This article includes information reported by Electronics Weekly.
