Arduino Ventuno Q: Dual-Brain Hardware for Real-Time AI

Edge AI and precise motor control have always lived in different hardware stacks. You need a GPU or NPU for inference. You need a microcontroller for real-time actuation—low latency, deterministic timing. Running both on the same board meant compromise. The Arduino Ventuno Q stops compromising.

Qualcomm acquired Arduino five months ago. This is the first board to ship as a result. It pairs a Qualcomm Dragonwing IQ8 processor (with an NPU capable of 40 TOPS) alongside an STM32HS microcontroller built for low-latency motor control. One board. Two brains.

The Specs

The IQ8 handles inference. You get 16GB LPDDR5 RAM for running models concurrently. Storage is 64GB eMMC, expandable via M.2 NVMe Gen4—so you can load multiple models and swap between them without bottlenecking.

The STM32HS handles actuation. CAN-FD. PWM. High-speed GPIO. Native support for robotics workflows—this is where you send commands to motors, servos, actuators, and they respond in microseconds, not milliseconds.

WiFi 6. Bluetooth 5.3. Multiple MIPI-CSI camera connectors for multi-sensor input. Advanced audio I/O. 2.5Gb Ethernet for real-time communication with other devices.

ROS 2 support is baked in—Arduino's App Lab environment gives you pre-built workflows for faster deployment. You're not starting from scratch.

Component	Spec	Purpose
Processor	Qualcomm Dragonwing IQ8	40 TOPS NPU for edge inference
Microcontroller	STM32HS	Real-time motor control, actuation
RAM	16GB LPDDR5	Concurrent model inference
Storage	64GB eMMC + M.2 NVMe Gen4	Multiple model deployment
Connectivity	WiFi 6, BT 5.3, 2.5Gb Ethernet	Network and local coordination

What This Solves

A robot arm that needs to identify objects (inference) and move with precision (actuation) has historically required two separate compute modules. The inference engine runs on one board. The motion controller runs on another. They talk via serial or CAN-bus. Latency creeps in. Synchronization becomes a problem. Ventuno Q puts both on the same silicon.

Or a drone. Or a manufacturing inspection system. Or any real-time autonomous system where you need to see, reason, and act in the same tight loop.

"Ventuno" means twenty-one in Italian—it's Arduino's 21st anniversary. The timing is deliberate. This board represents what Arduino is becoming under Qualcomm: less hobby electronics, more edge AI infrastructure.

Availability and Pricing

Priced under $300. Q2 2026 availability. Pre-orders through the Arduino Store, Digikey, Farnell, Macfos, Mouser, and RS Components.

You can use it as a standalone single-board computer, or connect it to your PC and offload inference while keeping actuation logic local. Arduino's App Lab environment means you're not writing bare metal code—you're orchestrating pre-built components.

The real detail: 40 TOPS with a co-processor that can execute microsecond-level actuation commands means you can run inference and actuate on the same inference cycle. That's what transforms a board from "compute for edge AI" into "compute for autonomous systems."