MPN: ABX00181
Arduino Ventuno Q
Edge AI SBC · 40 TOPS · Dual-Brain

Qualcomm Dragonwing IQ8 + STM32H5F5 · 16GB LPDDR5 · 64GB eMMC · M.2 NVMe · 2.5GbE · Wi-Fi 6 · triple MIPI-CSI

Specifications

AI Performance

Up to 40 dense TOPS
Hexagon Tensor NPU

MPU

Qualcomm Dragonwing IQ8
(IQ-8275)

CPU

8-core Kryo
(Cortex-A78/A55 class)

GPU

Adreno 623 @ 877 MHz

ISP

Qualcomm Spectra 692

MCU

STM32H5F5 Cortex-M33
@ 250 MHz · 4MB flash · 1.5MB RAM

RAM

16GB LPDDR5

Storage

64GB eMMC
+ M.2 NVMe Gen4 socket

Networking

2.5GbE · Wi-Fi 6
Bluetooth 5.3

Display

4K HDMI output

Camera

3× MIPI-CSI
(360° / stereo vision)

USB

2× USB 3.2

Power

5V/3A USB-C · 12–24V DC
7–24V screw terminal / JOMEGA

Dimensions

160 × 100 × 25.8 mm

Software

Ubuntu / Debian (MPU)
Arduino core on Zephyr (MCU)

Stock

Available

Price

Quote
($299 intro)

Overview

The Arduino Ventuno Q (ABX00181) is a dual-brain edge AI single-board computer that pairs a Qualcomm Dragonwing IQ8 (IQ-8275) application processor with an STM32H5F5 Arm Cortex-M33 microcontroller. The Dragonwing IQ8 delivers an 8-core Kryo CPU, Adreno 623 GPU, Spectra 692 ISP, and a Hexagon Tensor NPU rated up to 40 dense TOPS — enough on-device AI compute to run vision models, LLMs, and multimodal workloads directly at the edge. The STM32H5F5 "action brain" handles real-time I/O with sub-millisecond determinism, connected to the application processor over an RPC bridge.

Announced at Embedded World 2026 and launched in August 2026 at a $299 introductory price, the Ventuno Q is Arduino's second Qualcomm-based board (after the UNO Q) and the first to combine a Dragonwing IQ8 SoC with a discrete MCU. With 16GB LPDDR5, 64GB eMMC plus an M.2 NVMe Gen4 expansion slot, 2.5GbE and Wi-Fi 6 networking, 4K HDMI output, and triple MIPI-CSI camera inputs for 360° awareness and stereo depth, it targets robotics, autonomous systems, and physical AI applications where perception, decision, and action must run on a single board. Arduino's new App Lab toolchain adds drag-and-drop deployment of local LLMs, VLMs, and Whisper speech models.

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