Qualcomm‑Powered Arduino Ventuno Q Brings AI to Robotics

Arduino and Qualcomm have teamed up to push AI into physical machines with the new Arduino Ventuno Q, a single‑board computer designed specifically for robotics and edge intelligence. The board combines Qualcomm's Dragonwing IQ8 processor and a dedicated STM32H5 low‑latency microcontroller to handle both heavy neural workloads and deterministic motor control.

The Ventuno Q steps above Arduino's typical all‑in‑one hobbyist boards in specs and price. It packs an 8‑core ARM Cortex CPU, an Adreno Cortex A623 GPU and a Hexagon Tensor NPU capable of up to 40 TOPs, alongside 16GB of LPDDR5 RAM and 64GB of eMMC storage. An M.2 NVMe Gen4 slot allows further storage expansion, while connectivity includes Wi‑Fi 6, Bluetooth 5.3 and 2.5GbE. The board also supports USB cameras for vision workloads.

Arduino ships the Ventuno Q with Arduino App Lab and a set of pre‑trained models for LLMs, VLMs, ASR, gesture recognition, pose estimation and object tracking — all meant to run offline. That makes the platform suitable for privacy‑sensitive or connectivity‑limited scenarios such as smart kiosks, clinical assistants, traffic flow analysis and other edge vision and sensing systems.

Beyond vision and perception, the Ventuno Q is built to unify high‑throughput AI inference with precise, low‑latency control, enabling robots that can perceive, decide and act on a single board. Arduino and Qualcomm position the product as useful for developers, educators and researchers working on computer vision, generative AI and prototyping at the edge.

The Arduino Ventuno Q is expected to be available in Q2 2026 via the Arduino Store and other channels, with a target price under $300 — a competitive entry point for edge AI enthusiasts and robotics teams exploring offline, integrated solutions.