Qualcomm and Arduino have introduced the Ventuno Q, a new single-board computer priced under $300, designed to bring significant AI processing power to AI and robotics applications. Announced on March 9, the Ventuno Q integrates Qualcomm's Dragonwing IQ8 system-on-chip with 16GB of RAM, featuring a unique dual-processor architecture for offline AI inference and precise robotic control.
The board boasts 40 TOPS (Tera Operations Per Second) of AI processing power, rivaling high-end chips like Apple's M4 and Nvidia's Jetson Orin Nano. It includes 16GB of LPDDR5 RAM and 64GB of eMMC storage, sufficient for running multiple large language models or complex computer vision tasks without cloud dependency.
The "dual-brain" design pairs the Dragonwing IQ8 SoC for AI tasks with an STM32H5 microcontroller for real-time hardware communication and action. This integration aims to eliminate the need for separate microcontroller boards in robotics projects, offering both AI performance and precise hardware control on a single device.
The Ventuno Q is a product of Qualcomm's acquisition of Arduino in October 2025, a strategic move to penetrate the edge AI and IoT developer ecosystem. Following the earlier Arduino Uno Q, the Ventuno Q represents a substantial leap in performance and capability, signaling Qualcomm's commitment to the edge AI hardware market.
This new board addresses a market gap for accessible hardware that combines strong AI performance with real-time control. Priced competitively against Nvidia's Jetson Orin Nano, the Ventuno Q's integrated microcontroller offers a distinct advantage for robotics developers. Its offline AI capabilities are crucial for applications in drones, industrial systems, and autonomous vehicles where cloud connectivity is not feasible.
For Qualcomm, the Ventuno Q is a key step into the rapidly growing edge AI market, projected to reach over $20 billion in 2025 and grow at over 20% annually. The success of the Ventuno Q will depend on developer adoption, requiring Qualcomm to build a robust software ecosystem and demonstrate the AI capabilities justify the premium price point over standard Arduino boards.