Arduino

Arduino VENTUNO Q

Rs. 32,000.00
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The Arduino VENTUNO Q is a high-performance edge AI single-board computer based on the Qualcomm Dragonwing IQ8 platform. It combines an octa-core CPU, Adreno GPU, and a dedicated AI accelerator (up to 40 TOPS) with an STM32H5 Cortex-M33 microcontroller for real-time control.

It includes 16GB LPDDR5 RAM and 64GB onboard eMMC storage, with additional expansion via an M.2 NVMe Gen 4 slot.

The board supports multiple high-speed interfaces including triple MIPI-CSI camera inputs, HDMI, MIPI-DSI, and USB-C DisplayPort output, along with Wi-Fi 6, Bluetooth 5.3, and 2.5Gb Ethernet connectivity.

A dual-architecture design allows Linux-based processing (Debian/Ubuntu) to run alongside a real-time microcontroller (Zephyr-based), enabling simultaneous AI inference, multitasking, and deterministic hardware control.

ArduinoLinux SBC / MCU Hybrid

Specifications

Processor ModelQualcomm Dragonwing IQ8 (IQ-8275)
CPUOcta-core ARM (Kryo)
Clock SpeedUp to 2.35 GHz
GPUAdreno 623
AI ProcessorHexagon NPU (up to 40 TOPS)
MicrocontrollerSTM32H5 Cortex-M33
MCU ClockUp to 250 MHz
MCU Memory4MB Flash, 1.5MB RAM
Memory TypeLPDDR5
Memory16GB
Storage64GB eMMC
Expandable StorageM.2 NVMe Gen 4
Operating SystemUbuntu, Debian (MPU) + Zephyr (MCU)
WiFiWi-Fi 6 (2.4/5/6 GHz)
BluetoothBluetooth 5.3
Ethernet2.5 Gigabit Ethernet
USB1 × USB-C (power, data, DisplayPort), 2 × USB 3.0 Type-A
Additional USB2 × USB 3.0 via expansion headers
Display OutputHDMI, MIPI-DSI, USB-C DisplayPort
Camera SupportUp to 3 × MIPI-CSI (multi-camera support)
AudioMic in, headphone out, line out (via headers)
GPIO40-pin header (Raspberry Pi compatible)
Arduino CompatibilityUNO shields supported
ExpansionQwiic, Modulino, Raspberry Pi HAT support
Industrial InterfacesCAN-FD, PWM, deterministic GPIO
Power InputUSB-C (5V/3A), 12–24V barrel jack, screw terminal
Dimensions160mm × 100mm × 25.8mm
AI CapabilityMulti-model AI inference (vision, speech, LLM)
Release Year2026

What's In The Box

  • 1 × Arduino VENTUNO Q Board
  • Documentation

Best for

  • Robotics with vision and real-time control
  • Edge AI and computer vision systems
  • Autonomous machines and navigation systems
  • Industrial automation and inspection systems
  • AI inference at the edge (offline processing)
Rs. 32,000.00 Back-order