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Arduino VENTUNO Q Arduino UNO Q 16 GB 8 x 2.7 GHz
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Total (€ 346.79 / piece)
€ 346.79
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14-day return policy included
Highlights & Details
Arduino VENTUNO Q 16 GB RAM/64 GB eMMC
- Maximum AI performance: 40 TOPS NPU for generic AI and complex computer Vision applications
- Dual processor system: Qualcomm® Dragonwing™ for high-level computing combined with STM32H5 for real-time control
- Extensive compatibility: Supports Arduino Shields, Qwiic modules and Raspberry Pi hhas at the same time
- High-speed connectivity: Fast data transfer via 2.5 GB Ethernet, Wi-Fi 6 and Bluetooth 5.3
- Advanced Vision Interfaces: Three MIPI CSI connectors enable precise 360-degree sensing and stereo Vision systems
- Professional storage capacity: Integrated 16 GB LPDDR5 RAM and M.2-slot for powerful NVMe SSDs
Technical specifications
- Product type
SBC
- Type
Arduino UNO Q
- Processor cores (No.)
8 x
16 GB
- Clock speed
2.7 GHz
- Memory capacity
64 GB
- Internal ports
M.2
CSI (camera)
DSI (display)
- External ports
HDMI™
LAN (10/100/1000)
USB 3.0
- Wi-Fi
b/g/n/ax
- Bluetooth
5.3
- Power supply (LOV)
via USB
via PSU
- Output voltage
5 V
- Output current
2 A
- Length
85 mm
- Width
53 mm
- Height
20 mm
Documents & Downloads
User & Safety Instructions
User & Safety Instructions 3735249 Arduino VENTUNO Q Arduino UNO Q 16 GB 8 x 2.7 GHz
Description
Arduino presented at 21 with the VENUNO Q The company's anniversary is a powerful Dual brain board that breaks the line between edge computing and real-time control. Built on Qualcomm® Dragonwing™ technology, this platform delivers unparalleled computing power for generative AI and complex robotics applications directly on the board.
Dual brain architecture: Intelligence meets precision
The heart of VENTUNO Q is its innovative two-processor concept. While the Qualcomm® Dragonwing™ IQ8 main processor handles demanding tasks such as object detection, voice processing and decision-making, a dedicated STM32H5 microcontroller provides deterministic control of motors and actuators. This separation ensures that AI workloads do not interfere with time-critical hardware interaction.
Maximum performance for Edge AI
Equipped with an NPU (Neural Processing Unit), which supplies up to 40 TOPS (Trillion Operations Per Second), the VENTUNO Q is equipped for modern AI requirements.
- Memory: 16 GB LPDDR5 RAM enables simultaneous execution of multiple AI models.
- Storage: 64 GB integrated eMMC memory offers space for operating systems and extensive data sets, expandable via an M.2 slot for NVMe SSD.
- Software: Support for Ubuntu and Debian Linux on the processor side as well as the proven Arduino core on Zephyr OS for the microcontroller.
Connectivity and industrial interfaces
The VENTUNO Q was developed for seamless integration in professional environments. It has a variety of interfaces:
- Vision: Three 4-lane MIPI-CSI camera connections for 360°-perception or stereo Vision.
- Networking: High-speed connectivity through 2.5 GB Ethernet, Wi-Fi 6 and Bluetooth 5.3.
- Industry standards: Native support for CAN-FD, PWM and high-speed GPIOs for precise physical control.
- Display: HDMI output and MIPI-DSI for interactive user interfaces.
Seamless development with the APP Lab
To reduce the complexity of AI projects, the board integrates itself fully into the Arduino APP Lab. Developers can switch between Arduino sketches, Python scripts and ready AI models (such as LLMs or gesture recognition models) in a unified environment. The platform is also "ROS 2-ready", WAS makes it the ideal basis for autonomous mobile robots and advanced factory automation.
Compatibility without compromise
Despite the high-end specifications the VENTUNO Q remains true to the Arduino ecosystem. It's out-of-the-box compatible with Arduino UNO classic shields, modulino nodes and Qwic sensors. In addition, it has a 40-pin header for Raspberry Pi has, WAS offers maximum flexibility in selecting hardware extensions.
The Arduino VENTUNO Q is the solution for developers, who not only process data, but also want to build machines, which understand their environment and respond to it in real time.
This text is machine translated.
Dual brain architecture: Intelligence meets precision
The heart of VENTUNO Q is its innovative two-processor concept. While the Qualcomm® Dragonwing™ IQ8 main processor handles demanding tasks such as object detection, voice processing and decision-making, a dedicated STM32H5 microcontroller provides deterministic control of motors and actuators. This separation ensures that AI workloads do not interfere with time-critical hardware interaction.
Maximum performance for Edge AI
Equipped with an NPU (Neural Processing Unit), which supplies up to 40 TOPS (Trillion Operations Per Second), the VENTUNO Q is equipped for modern AI requirements.
- Memory: 16 GB LPDDR5 RAM enables simultaneous execution of multiple AI models.
- Storage: 64 GB integrated eMMC memory offers space for operating systems and extensive data sets, expandable via an M.2 slot for NVMe SSD.
- Software: Support for Ubuntu and Debian Linux on the processor side as well as the proven Arduino core on Zephyr OS for the microcontroller.
Connectivity and industrial interfaces
The VENTUNO Q was developed for seamless integration in professional environments. It has a variety of interfaces:
- Vision: Three 4-lane MIPI-CSI camera connections for 360°-perception or stereo Vision.
- Networking: High-speed connectivity through 2.5 GB Ethernet, Wi-Fi 6 and Bluetooth 5.3.
- Industry standards: Native support for CAN-FD, PWM and high-speed GPIOs for precise physical control.
- Display: HDMI output and MIPI-DSI for interactive user interfaces.
Seamless development with the APP Lab
To reduce the complexity of AI projects, the board integrates itself fully into the Arduino APP Lab. Developers can switch between Arduino sketches, Python scripts and ready AI models (such as LLMs or gesture recognition models) in a unified environment. The platform is also "ROS 2-ready", WAS makes it the ideal basis for autonomous mobile robots and advanced factory automation.
Compatibility without compromise
Despite the high-end specifications the VENTUNO Q remains true to the Arduino ecosystem. It's out-of-the-box compatible with Arduino UNO classic shields, modulino nodes and Qwic sensors. In addition, it has a 40-pin header for Raspberry Pi has, WAS offers maximum flexibility in selecting hardware extensions.
The Arduino VENTUNO Q is the solution for developers, who not only process data, but also want to build machines, which understand their environment and respond to it in real time.
This text is machine translated.