SHOP BY CATEGORY
The Arduino VENTUNO Q combines powerful AI computing with dedicated real-time control on a single development board. Its Qualcomm Dragonwing IQ8 processor handles demanding perception and inference workloads, while the STM32H5F5 microcontroller supports responsive actuation and embedded control.
| Feature | Specification |
|---|---|
| Main Processor | Qualcomm Dragonwing IQ8 (QCS8275). |
| CPU | Octa-core Qualcomm Kryo CPU, up to 2.36GHz. |
| AI Acceleration | Qualcomm Hexagon NPU delivering up to 40 dense TOPS. |
| Graphics | Qualcomm Adreno 623 GPU. |
| Memory | 16GB LPDDR5 shared by the CPU, GPU, and NPU. |
| Real-Time Microcontroller | STMicroelectronics STM32H5F5, Arm Cortex-M33, running at 250MHz. |
| Storage Expansion | M.2 slot for NVMe storage with PCIe Gen 4 connectivity. |
| Software Environment | Ubuntu Linux on the main processor, Zephyr on the microcontroller, and Arduino App Lab for development. |
The dual-processor architecture separates high-level AI tasks from time-sensitive control. Build prototypes that interpret camera or sensor inputs, make application-level decisions, and coordinate physical responses through compatible control hardware.
Develop on-device applications using compatible vision models and local language models. Model size, runtime support, and optimization determine achievable performance; the 40 dense TOPS rating describes peak NPU capability.
Bring Arduino sketches, Python scripts, and AI models into a unified development workflow. Start with supported examples, connect your peripherals, and refine the interaction between AI processing and embedded control.
Contact RoboLearn for Arduino VENTUNO Q inquiries, compatible accessories, pricing, and availability.
|
Reviews
There are no reviews yet.