Qualcomm Unveils Ventuno Q AI Single-Board Computer for Robotics

Qualcomm has introduced the Arduino Ventuno Q, a new single-board computer focused on artificial intelligence (AI) and robotics applications. The announcement follows Qualcomm’s acquisition of Arduino in 2025, marking a strategic move to strengthen its offerings in edge AI hardware and software ecosystems.

The Ventuno Q is engineered for developers seeking offline AI processing and precise, deterministic control—capabilities highly valued in robotics and industrial automation. The device features Qualcomm's Dragonwing IQ8 processor, which integrates an eight-core ARM Cortex CPU, Adreno Arm Cortex A623 GPU for graphics acceleration, and a Hexagon Tensor NPU capable of processing up to 40 trillion operations per second (TOPs). A companion STM32H5 microcontroller is included to ensure ultra-low latency motor control and consistent real-time responses.

With 16GB of LPDDR5 memory and 64GB of onboard eMMC storage, the board is equipped for heavy AI workloads. Expansion options are provided via an M.2 NVMe Gen.4 slot, supporting additional storage or connectivity modules. The platform enables high-speed networking through Wi-Fi 6, Bluetooth 5.3, 2.5Gbps Ethernet, and direct USB support for camera inputs.

Designed as a comprehensive robotics stack, the Ventuno Q supports advanced computer vision and motor control functions essential for systems that perceive and interact with their physical environment. Key use cases include smart kiosks, healthcare assistant robots, traffic flow analysis, and vision-guided automation at the edge—settings where reliable, low-latency inference is critical and cloud connectivity may be limited or undesirable due to privacy or operational requirements.

Out of the box, the Ventuno Q comes bundled with Arduino App Lab software and a collection of pre-trained AI models. These encompass large language models (LLMs), vision-language models (VLMs), automatic speech recognition (ASR), gesture recognition, pose estimation, and object tracking. These models run entirely offline, enabling immediate deployment in sensitive or disconnected environments.

Both Qualcomm and Arduino have highlighted the board’s suitability for education and research, particularly in the emerging fields of computer vision, generative AI, and rapid prototyping of edge applications. "With Ventuno Q, AI can finally move from the cloud into the physical world," the company stated, emphasizing how the board enables full-stack AI—from perception to action—on a single, developer-accessible platform.

The Arduino Ventuno Q is slated for release in the second quarter of 2026, with a retail price expected to be below $300. Available through the Arduino Store and authorized retailers, it positions itself as an accessible yet powerful tool for the global developer community working at the intersection of AI and robotics.

Qualcomm’s Dragonwing IQ8 processor continues to target industrial edge and AI-enabled embedded applications, consolidating the company’s expansion into the AI hardware market following its acquisition of Arduino.

Source: dataconomy.com