{"id":33979,"date":"2026-11-03T16:06:42","date_gmt":"2026-11-03T15:06:42","guid":{"rendered":"https:\/\/monraspberry.com\/?post_type=product&#038;p=33979"},"modified":"2026-11-04T08:44:09","modified_gmt":"2026-11-04T07:44:09","slug":"arduino-ventuno-q","status":"publish","type":"product","link":"https:\/\/monraspberry.com\/en\/produit\/arduino-ventuno-q\/","title":{"rendered":"Arduino VENTUNO Q: AI and robotics computer, 16 GB, 64 GB eMMC"},"content":{"rendered":"<p><strong>The Arduino VENTUNO Q<\/strong> (ref. ABX00181) is a single-board computer for embedded AI and robotics. It has two processors working together: a <strong>Qualcomm Dragonwing IQ8<\/strong> running Ubuntu for vision and AI models, and a microcontroller <strong>STM32H5<\/strong> to drive motors and buses in real time.<\/p>\n<p>The main processor reaches up to 40 TOPS on its NPU, with 16 GB of LPDDR5 RAM, 64 GB of eMMC and an M.2 connector for an NVMe SSD. The microcontroller runs the Arduino core on Zephyr for motor control, CAN-FD, PWM and GPIO. The two exchange data through a built-in bridge, which avoids combining two boards.<\/p>\n<p>Everything runs locally, without a connection. Arduino App Lab, preinstalled, brings together Arduino sketches, Python scripts and containerized AI models in a single application. Docker and apt are already available, and you can also work with VS Code or your own Linux tools.<\/p>\n<h2>Highlights<\/h2>\n<ul>\n<li><strong>Two processors on one board:<\/strong> Linux for AI, real time for action.<\/li>\n<li><strong>Local AI:<\/strong> library of optimized models, including Qwen, Gemma, Whisper, Piper and YoloX, according to Arduino.<\/li>\n<li><strong>Your own models:<\/strong> import in GGUF format via llama.cpp, or training in Edge Impulse.<\/li>\n<li><strong>Ready for robotics:<\/strong> ROS 2 compatible, real-time CAN-FD and PWM, 3 MIPI CSI camera inputs.<\/li>\n<li><strong>Cooling included:<\/strong> heatsink and fan supplied with the board.<\/li>\n<li><strong>Three ways to work:<\/strong> as a standalone computer, connected to a PC, or remotely over the network.<\/li>\n<\/ul>\n<h2>Use cases<\/h2>\n<ul>\n<li><strong>Mobile robots, drones and arms:<\/strong> vision-guided manipulation and visual SLAM.<\/li>\n<li><strong>Quality control:<\/strong> automated inspection with vision models run on site.<\/li>\n<li><strong>Industry:<\/strong> predictive maintenance, process automation, energy monitoring.<\/li>\n<li><strong>Teaching and research:<\/strong> computer vision, generative AI, embedded systems.<\/li>\n<\/ul>\n<h2>Technical specifications<\/h2>\n<ul>\n<li><strong>Manufacturer reference:<\/strong> ABX00181<\/li>\n<li><strong>Processor :<\/strong> Qualcomm Dragonwing IQ8 (QCS8275), 8 cores, Adreno 623 GPU, Hexagon NPU up to 40 TOPS<\/li>\n<li><strong>Microcontroller:<\/strong> STM32H5F5, Arm Cortex-M33 up to 250 MHz, 4 MB of flash, 1.5 MB of RAM<\/li>\n<li><strong>RAM :<\/strong> 16 GB LPDDR5 (2 x 8 GB)<\/li>\n<li><strong>Storage:<\/strong> 64 GB eMMC; M.2 Key M 2230 connector for NVMe Gen 4 SSD, not bootable<\/li>\n<li><strong>Network:<\/strong> Tri-band Wi-Fi 6, Bluetooth 5.3, 2.5 Gbit RJ45 Ethernet<\/li>\n<li><strong>USB :<\/strong> 1 USB-C with video output, 2 USB 3.0 Type-A, 2 USB 3.0 on JOMEGA connector<\/li>\n<li><strong>Video:<\/strong> 1 HDMI, DisplayPort output via USB-C, MIPI DSI on JMEDIA connector<\/li>\n<li><strong>Cameras:<\/strong> 3 MIPI CSI connectors, USB cameras supported<\/li>\n<li><strong>Buses:<\/strong> 1 CAN-FD with transceiver on screw terminal, 4 CAN-FD without transceiver, I2C\/I3C, SPI, UART, PWM<\/li>\n<li><strong>Expansion:<\/strong> connectors for UNO shields, 3.3 V Raspberry Pi style 40-pin connector, Qwiic connector<\/li>\n<li><strong>Power supply:<\/strong> USB-C PD 20 V up to 3 A, 5.5 x 2.1 mm barrel jack 12 to 24 V up to 5 A, screw terminal 7 to 24 V<\/li>\n<li><strong>Operating temperature :<\/strong> -10 to 60 \u00b0C<\/li>\n<li><strong>Dimensions :<\/strong> 160 x 100 x 25.8 mm, excluding heatsink and fan<\/li>\n<\/ul>\n<h2>Compatibility and what you need to know<\/h2>\n<p>Arduino states compatibility with UNO shields and, through the 40-pin connector, with Raspberry Pi HATs. This connector follows the mechanical format of HATs and uses 3.3 V logic. This does not guarantee software support: check that a given HAT has drivers usable on this system.<\/p>\n<p>Plan for a power supply of <strong>60 W or more<\/strong> for heavy loads (AI, USB peripherals, expansions), as recommended by Arduino. On the barrel jack, Arduino cites 12 V, 5 A or 24 V, 3 A. The M.2 connector is for data storage: the board does not boot from the SSD.<\/p>\n<h2>Box contents<\/h2>\n<ul>\n<li>1 Arduino VENTUNO Q board, with heatsink and fan<\/li>\n<\/ul>\n<p>Arduino does not mention a power supply with the board: plan for it separately, along with the cables, screen and cameras according to your use.<\/p>\n<p>See also <a href=\"https:\/\/monraspberry.com\/en\/product\/arduino-uno-q\/\">the Arduino UNO Q<\/a>, all our <a href=\"https:\/\/monraspberry.com\/en\/cat\/other-sbc\/arduino\/\">Arduino boards<\/a> and <a href=\"https:\/\/monraspberry.com\/en\/brand-2\/arduino\/\">the Arduino brand<\/a>.<\/p>\n<h2>Frequently asked questions<\/h2>\n<h3>Which operating system is installed?<\/h3>\n<p>Ubuntu, preinstalled on the main processor, with Arduino App Lab. The microcontroller runs the Arduino core on Zephyr.<\/p>\n<h3>Do you need a computer to use it?<\/h3>\n<p>No. With a screen, a keyboard and a mouse, the board can be used on its own. It can also be connected to a PC over USB-C or the network, or run headless with remote access.<\/p>\n<h3>Can a language model run without internet?<\/h3>\n<p>Yes, that is one of its intended uses: Arduino offers models prepared for the NPU and lets you import models in GGUF format.<\/p>\n<h3>Can you add an SSD?<\/h3>\n<p>Yes, in M.2 Key M 2230 format, NVMe Gen 4. It is used for data storage and is not bootable.<\/p>\n<h3>What is the difference from the Arduino UNO Q?<\/h3>\n<p>The VENTUNO Q targets local AI and robotics, with 16 GB of RAM, an NPU of up to 40 TOPS, CAN-FD and several cameras. <a href=\"https:\/\/monraspberry.com\/en\/product\/arduino-uno-q\/\">The UNO Q<\/a> offers 2 GB of RAM and 16 GB of eMMC in the version available in our shop.<\/p>","protected":false},"excerpt":{"rendered":"<ul>\n<li>Qualcomm Dragonwing IQ8 running Ubuntu, NPU of up to 40 TOPS, and STM32H5 real-time microcontroller<\/li>\n<li>16 GB of LPDDR5 RAM, 64 GB of eMMC, M.2 NVMe connector, Wi-Fi 6 and 2.5 Gbit Ethernet<\/li>\n<li>CAN-FD, 3 MIPI CSI camera inputs, UNO shields and Raspberry Pi HATs<\/li>\n<\/ul>","protected":false},"featured_media":33974,"template":"","meta":[],"product_brand":[406],"product_cat":[350],"product_tag":[],"class_list":["post-33979","product","type-product","status-publish","has-post-thumbnail","product_brand-arduino","product_cat-arduino","first","instock","taxable","shipping-taxable","purchasable","product-type-simple","add-to-wishlist-after_add_to_cart"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/product\/33979","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/types\/product"}],"version-history":[{"count":2,"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/product\/33979\/revisions"}],"predecessor-version":[{"id":34000,"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/product\/33979\/revisions\/34000"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/media\/33974"}],"wp:attachment":[{"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/media?parent=33979"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/product_brand?post=33979"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/product_cat?post=33979"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/product_tag?post=33979"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}