Arduino Ventuno Q: AI board with two brains now open for pre-order
Arduino is taking pre-orders for the Ventuno Q, which was already announced in March. According to a Make report, the board costs 298.99 euros, and pre-ordered units are expected to ship in about four weeks. It is aimed mainly at edge AI and robotics.
The "dual brain" concept is what I find exciting. On the Linux side there is a Qualcomm Dragonwing IQ8 (QCS8275) with eight Kryo cores and a Hexagon NPU delivering up to 40 TOPS. For everything time-critical there is an STM32H5F5 with a Cortex-M33, running Zephyr RTOS with the Arduino core and handling motors, PWM and GPIOs. The two sides talk to each other over an RPC bridge. A robot could analyze camera images locally and handle motor control at the same time, without combining several boards.
The spec is generous by Arduino standards: 16 GB LPDDR5, 64 GB eMMC, an M.2 slot for NVMe SSDs, three MIPI-CSI camera connectors, 2.5-gigabit Ethernet, Wi-Fi 6 and Bluetooth 5.3. Add I2C, SPI, UART, several CAN-FD interfaces, a Qwiic connector, four RGB LEDs and an 8x13 LED matrix.
On the software side, Ubuntu is planned and Debian will follow. According to Arduino, Docker and apt are ready to use. In the Arduino App Lab, sketches, Python scripts and containerized AI models can be connected. Preinstalled are Qwen, Gemma, Whisper, YOLOX and MediaPipe among others, and your own GGUF models run via llama.cpp.
The price is far above the usual Arduino level, so this board is better suited to larger projects than to beginners. What really appeals to me is the idea of local voice control and automation that doesn't depend on the cloud.
Source: heise online (Make)
The "dual brain" concept is what I find exciting. On the Linux side there is a Qualcomm Dragonwing IQ8 (QCS8275) with eight Kryo cores and a Hexagon NPU delivering up to 40 TOPS. For everything time-critical there is an STM32H5F5 with a Cortex-M33, running Zephyr RTOS with the Arduino core and handling motors, PWM and GPIOs. The two sides talk to each other over an RPC bridge. A robot could analyze camera images locally and handle motor control at the same time, without combining several boards.
The spec is generous by Arduino standards: 16 GB LPDDR5, 64 GB eMMC, an M.2 slot for NVMe SSDs, three MIPI-CSI camera connectors, 2.5-gigabit Ethernet, Wi-Fi 6 and Bluetooth 5.3. Add I2C, SPI, UART, several CAN-FD interfaces, a Qwiic connector, four RGB LEDs and an 8x13 LED matrix.
On the software side, Ubuntu is planned and Debian will follow. According to Arduino, Docker and apt are ready to use. In the Arduino App Lab, sketches, Python scripts and containerized AI models can be connected. Preinstalled are Qwen, Gemma, Whisper, YOLOX and MediaPipe among others, and your own GGUF models run via llama.cpp.
The price is far above the usual Arduino level, so this board is better suited to larger projects than to beginners. What really appeals to me is the idea of local voice control and automation that doesn't depend on the cloud.
Source: heise online (Make)
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