VENTUNO™ Q Edge AI Computer — Coming Soon!
The Arduino VENTUNO Q is a leading-edge AI computer for robotics applications, setting new standards in performance
Arduino VENTUNO Q brings perception, decision, and action onto a single board, eliminating complexity, latency, and the cost of multi-device setups. It combines a Qualcomm Dragonwing™ IQ-8 and an STM32H5 microcontroller, which communicate seamlessly via remote procedure call (RPC) bridge.
VENTUNO Q fits the user’s workflow while supporting either a single-board computer or a PC. Two setup modes are available for a tailored experience. For a single-board computer (SBC), add a monitor, keyboard, and mouse for a professional Linux desktop with Arduino App Lab ready to launch. For PC-based setups, connect VENTUNO Q to laptops or desktop computers via a USB-C® or network connection to run Arduino App Lab on PCs.
- 40 tera operations per second (TOPS): Dragonwing IQ-8 processor with neural processing units (NPU) to deploy vision models, large language models (LLMs), and multi-modal AI at the edge with real-time inference performance
- 16 GB expandable RAM: Load larger models, process high-res imaging, and run intensive robotics algorithms smoothly
- 64 GB eMMC: Industrial-grade storage for OS, frameworks, models, and data that are reliable under any conditions
- Triple MIPI-CSI camera support: Three 4-lane interfaces for 360° awareness, stereo depth perception, and multi-angle inspection
- Display outputs: MIPI-DSI for touchscreens and interactive panels, HDMI for monitors and projectors, USB-C DisplayPort™ alt mode for versatile video output
- Wireless and wired networking: Tri-band Wi-Fi® 6 (2.4 GHz /5 GHz /6 GHz) and Bluetooth® 5.3 for wireless connectivity; 2.5 Gb Ethernet
- Universal USB connectivity: USB-C for high-speed vision and audio data transfer with dual USB-A 3.0 ports for peripherals and storage
- Industrial I/O and control: CAN-FD for professional motor controllers and industrial networks; pulse width modulation (PWM) and deterministic GPIO for sub-millisecond response
- AI-powered systems
- Robotics and motion controls
- Edge AI vision and sensing systems
- Education and research

