Following Qualcomm’s acquisition of Arduino last year, the two companies have unveiled their first major collaborative hardware: the Arduino Ventuno Q. This high-performance single-board computer (SBC) is designed to bridge the gap between cloud-level AI and real-world robotics, offering a powerful platform for systems that require precise physical manipulation and rapid environmental response.
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The Ventuno Q is significantly more advanced than Arduino’s traditional boards, powered by Qualcomm’s Dragonwing IQ8 processor. This chipset features an 8-core ARM Cortex CPU, an Adreno GPU, and a Hexagon Tensor NPU capable of delivering up to 40 TOPS (Trillions of Operations Per Second) for AI workloads.
To support this processing power, the board is equipped with:
- Memory: 16GB of LPDDR5 RAM.
- Storage: 64GB of onboard eMMC storage, plus an M.2 NVMe Gen 4 slot for high-speed expansion.
- Connectivity: 2.5Gbps Ethernet, Wi-Fi 6, Bluetooth 5.3, and support for USB-based vision systems.
A primary focus of the Ventuno Q is “Edge AI”—the ability to run complex models entirely offline. The board ships with Arduino App Lab, which includes pre-trained models for large language models (LLMs), speech recognition, gesture tracking, and pose estimation. This makes it a perfect fit for secure, offline applications like smart kiosks, healthcare assistants, and real-time traffic analysis.
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For roboticists, the board integrates the Dragonwing processor with a dedicated STM32H5 low-latency microcontroller. This pairing allows the system to handle heavy vision processing while simultaneously maintaining deterministic, precise control over motors and actuators.
Qualcomm and Arduino aim to make advanced robotics more accessible to developers and educators alike. The Arduino Ventuno Q is scheduled to launch in Q2 2026 and is expected to retail for under $300.
