{"title":"Single Board Computers","description":"\u003c!-- Main Category Title --\u003e\u003c!-- Extractable Defining Opening Paragraph (52 words) --\u003e\n\u003cp\u003eSingle board computers (SBCs) integrate a complete microprocessor, system memory, input\/output interfaces, and operating system support on a single circuit board. Designed for embedded intelligence, modern SBCs combine high-performance Linux processing with real-time microcontroller hardware to handle edge AI, industrial automation, robotics, and complex sensor data directly on-device without cloud dependency.\u003c\/p\u003e\n\u003c!-- Heading: Answer to \"Which single board computers does Arduino make?\" --\u003e\n\u003ch2\u003eWhich single board computers does Arduino make?\u003c\/h2\u003e\n\u003cp\u003eArduino manufactures a range of high-performance single board computers designed for real-time edge processing, robotics, and industrial automation. Key specifications include:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eArduino VENTUNO Q:\u003c\/strong\u003e 16 GB LPDDR5 RAM | 15 W – 25 W power consumption | Integrated STM32H5 MCU | Price: €298.99\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eArduino Portenta X8:\u003c\/strong\u003e 2 GB LPDDR4 RAM | 5 W – 10 W power consumption | Integrated STM32H7 MCU | Price: €223.00\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eArduino UNO Q (4GB):\u003c\/strong\u003e 4 GB LPDDR4 RAM | 5 W – 12 W power consumption | Integrated STM32 MCU | Price: €82.90\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eArduino UNO Q (2GB):\u003c\/strong\u003e 2 GB LPDDR4 RAM | 5 W – 10 W power consumption | Integrated STM32 MCU | Price: €68.90\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c!-- Table with Improved Spacing \u0026 Clean Layout --\u003e\n\u003ch2 style=\"margin-top: 30px; margin-bottom: 15px;\"\u003eProduct Specifications Overview\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: left; margin-bottom: 30px; font-family: inherit;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"background-color: #f8f9fa; border-bottom: 2px solid #dee2e6;\"\u003e\n\u003cth style=\"padding: 12px 16px; text-align: center; width: 22%;\"\u003eProduct\u003c\/th\u003e\n\u003cth style=\"padding: 12px 16px; width: 14%;\"\u003eRAM\u003c\/th\u003e\n\u003cth style=\"padding: 12px 16px; width: 16%;\"\u003eDeclared Consumption\u003c\/th\u003e\n\u003cth style=\"padding: 12px 16px; width: 20%;\"\u003eOnboard MCU\u003c\/th\u003e\n\u003cth style=\"padding: 12px 16px; width: 10%;\"\u003ePrice\u003c\/th\u003e\n\u003cth style=\"padding: 12px 16px; width: 18%;\"\u003ePrimary Use Case\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"border-bottom: 1px solid #e9ecef;\"\u003e\n\u003ctd style=\"padding: 16px; text-align: center; vertical-align: middle;\"\u003e\u003cstrong style=\"display: block; font-size: 14px;\"\u003eArduino VENTUNO Q\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle;\"\u003e16 GB LPDDR5\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle;\"\u003e15 W – 25 W\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle;\"\u003eYes (STM32H5F5 Arm Cortex-M33)\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle; font-weight: bold;\"\u003e€298.99\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle; font-size: 13px; line-height: 1.4;\"\u003eAutonomous mobile robots (AMR), offline LLM\/vision AI, 360° multi-camera edge computing.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"border-bottom: 1px solid #e9ecef; background-color: #fafafa;\"\u003e\n\u003ctd style=\"padding: 16px; text-align: center; vertical-align: middle;\"\u003e\u003cstrong style=\"display: block; font-size: 14px;\"\u003eArduino Portenta X8\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle;\"\u003e2 GB LPDDR4\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle;\"\u003e5 W – 10 W\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle;\"\u003eYes (STM32H747XI Dual Cortex-M7\/M4)\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle; font-weight: bold;\"\u003e€223.00\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle; font-size: 13px; line-height: 1.4;\"\u003eSecure industrial IoT gateways, containerized microservices, smart factory control systems.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"border-bottom: 1px solid #e9ecef;\"\u003e\n\u003ctd style=\"padding: 16px; text-align: center; vertical-align: middle;\"\u003e\u003cstrong style=\"display: block; font-size: 14px;\"\u003eArduino UNO Q (4GB)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle;\"\u003e4 GB LPDDR4\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle;\"\u003e5 W – 12 W\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle;\"\u003eYes (STM32 series MCU)\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle; font-weight: bold;\"\u003e€82.90\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle; font-size: 13px; line-height: 1.4;\"\u003eCost-effective edge computer vision, automated lab measurement, compact smart retail hubs.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"border-bottom: 1px solid #e9ecef; background-color: #fafafa;\"\u003e\n\u003ctd style=\"padding: 16px; text-align: center; vertical-align: middle;\"\u003e\u003cstrong style=\"display: block; font-size: 14px;\"\u003eArduino UNO Q (2GB)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle;\"\u003e2 GB LPDDR4\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle;\"\u003e5 W – 10 W\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle;\"\u003eYes (STM32 series MCU)\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle; font-weight: bold;\"\u003e€59.90\u003c\/td\u003e\n\u003ctd style=\"padding: 16px; vertical-align: middle; font-size: 13px; line-height: 1.4;\"\u003eEntry-level edge computing, light AI model inference, lightweight IoT gateways \u0026amp; sensor nodes.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","products":[{"product_id":"portenta-x8","title":"Portenta X8","description":"\u003cp style=\"text-align: justify;\"\u003ePortenta X8 is a powerful, industrial-grade SOM with Linux OS preloaded onboard, capable of running device-independent software thanks to its modular container architecture. Take advantage of onboard Wi-Fi\/Bluetooth® Low Energy connectivity to securely perform OS\/application OTA updates. It’s basically two industrial products in one, with the power of no less than 9 cores. Leverage the Arduino environment to carry out real-time tasks while Linux takes care of high-performance processing.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eThe Portenta X8 features an NXP® i.MX 8M Mini Cortex®-A53 quad-core, up to 1.8GHz per core + 1x Cortex®-M4 up to 400MHz, plus the  STMicroelectronics STM32H747 dual-core Cortex®-M7 up to 480Mhz +M4 32 bit Arm® MCU up to 240Mhz.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003e\u003ciframe frameborder=\"0\" height=\"449\" src=\"https:\/\/www.youtube.com\/embed\/c2nz1wLIp5g\" title=\"YouTube video player\" width=\"798\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eKey benefits include:\u003c\/p\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eTwo industrial products in one, combining Arduino’s availability of libraries\/skills with container-based Linux distribution\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOutstanding computational density - a total of 9 cores within a compact form factor \u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eMulti-processor architecture allowing power-optimized processing\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLeverage popular programming languages like Python, Java and Ruby among others\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eReal-time I\/O and fieldbus\/control on a dedicated core\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eDeploy powerful AI algorithms and machine learning on the edge\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eSecure OS\/applications updates over-the-air\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eIndustrial-grade security at the hardware level, thanks to its crypto chip on dedicated bus\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eLeverage the Arduino ecosystem to expand Portenta capabilities\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eImplement multi-protocol routing with a single module\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eCompatible with other Arduino Portenta products\u003cbr\u003e\n\t \u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch5\u003eIndustrial-Grade Security\u003c\/h5\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eThe Portenta X8 has been designed with industrial-grade security in mind.\u003c\/p\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003ePSA Certified and includes the NXP SE050C2 hardware security element to provide key generation, accelerated crypto operations and secure storage. \u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAwarded Arm SystemReady certification and integrated Parsec services, making it one of the market’s first Cassini Products available to developers.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eThe Portenta X8 includes the customizable open-source Linux microPlatform OS, built using best industry practices for end-to-end security, incremental OTA updates and fleet management.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eUtilizing the cloud-based DevOps platform from Foundries.io to reinvent the way embedded Linux solutions are built, tested, deployed and maintained, the Portenta X8 benefits from Foundries.io continuous update service for cybersecurity. This service guarantees an updated image that contains all vulnerability patches; whilst the approach to containers decouples the operating system from the application, to seamlessly keep the whole system updated.  \u003c\/p\u003e\n\n\u003ch5\u003eApplications\u003c\/h5\u003e\n\n\u003cp style=\"text-align: justify;\"\u003ePortenta X8 enables IT professionals, system integrators and consulting firms to build and boost a wide variety of solutions for industrial contexts, and also lends itself to building automation and smart agriculture applications. \u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eApplications include:\u003c\/p\u003e\n\n\u003cul\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eConnected edge computer for manufacturing\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eAutonomous Guided Vehicles (AGV)\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eInteractive full-HD secure kiosks and digital signage\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eOffice \u0026amp; home control systems\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eNavigation and control for smart agriculture\u003c\/li\u003e\n\t\u003cli style=\"text-align: justify;\"\u003eBehavioral analytics for offices and factories\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp style=\"text-align: justify;\"\u003eOpen up even more opportunities for innovation by combining the Portenta X8 with a carrier such as \u003ca data-tabindex-counter=\"25\" data-tabindex-value=\"none\" href=\"https:\/\/store.arduino.cc\/products\/arduino-portenta-breakout\" tabindex=\"-1\" target=\"_blank\"\u003ePortenta Breakout\u003c\/a\u003e or \u003ca data-tabindex-counter=\"10\" data-tabindex-value=\"none\" href=\"https:\/\/store.arduino.cc\/products\/portenta-max-carrier\" tabindex=\"-1\"\u003ePortenta Max Carrier\u003c\/a\u003e.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003e\u003ciframe frameborder=\"0\" scrolling=\"no\" src=\"https:\/\/content.arduino.cc\/assets\/X8_Release_Scene_4_raw%20%281%29.mp4\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\n\u003ch4\u003eArduino Cloud for business (optional)\u003c\/h4\u003e\n\n\u003cp\u003eSubscribe to Arduino Cloud for business with Portenta X8 Board Manager to:\u003c\/p\u003e\n\n\u003cul\u003e\n\t\u003cli\u003eSecurely maintain Linux distribution\u003c\/li\u003e\n\t\u003cli\u003eGet individual provisioning keys for each device\u003c\/li\u003e\n\t\u003cli\u003eSecure OTA update to target Portenta X8 devices\/fleets\u003c\/li\u003e\n\t\u003cli\u003eDeploy and update applications packaged into containers:\n\t\u003cul\u003e\n\t\t\u003cli\u003ePre-installed Python container\u003c\/li\u003e\n\t\t\u003cli\u003eOther Arduino customised containers\u003c\/li\u003e\n\t\t\u003cli\u003eCustom containers\u003c\/li\u003e\n\t\u003c\/ul\u003e\n\t\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003ca href=\"https:\/\/cloud.arduino.cc\/plans#business\" rel=\"noopener noreferrer\" tabindex=\"-1\" target=\"_blank\"\u003eCheck It Out\u003c\/a\u003e and learn more on Portenta X8 Manager.\u003cbr\u003e\nFor more information, see the \u003ca data-tabindex-counter=\"25\" data-tabindex-value=\"none\" href=\"https:\/\/www.arduino.cc\/pro\/hardware\/product\/portenta-x8\" tabindex=\"-1\" target=\"_blank\"\u003ePortenta X8 product page\u003c\/a\u003e and feel free to get in contact with our sales engineers.\u003c\/p\u003e\n\n\u003ch3\u003eArduino IoT Cloud Compatible\u003c\/h3\u003e\n\n\u003cdiv class=\"textsummary\"\u003e\n\u003cp style=\"text-align: justify;\"\u003e\u003ca data-tabindex-counter=\"1075\" href=\"https:\/\/www.arduino.cc\/cloud\" tabindex=\"-1\"\u003e\u003cimg alt src=\"https:\/\/content.arduino.cc\/assets\/Cloud_compatability.png\" style=\"border: none; margin: 0px 20px 0px 0px; height: 36px; width: 175px;\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003e\u003ca data-tabindex-counter=\"1075\" href=\"https:\/\/www.arduino.cc\/cloud\" tabindex=\"-1\"\u003e\u003c\/a\u003eUse your MKR board on Arduino's IoT Cloud, a simple and fast way to ensure secure communication for all of your connected Things.\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\"\u003e\u003ca data-tabindex-counter=\"8\" data-tabindex-value=\"none\" href=\"https:\/\/cloud.arduino.cc\/plans\/\" tabindex=\"-1\" target=\"_blank\"\u003eTRY THE ARDUINO IOT CLOUD FOR FREE\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n","brand":"Arduino","offers":[{"title":"Default Title","offer_id":41879776362647,"sku":"ABX00049","price":223.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0438\/4735\/2471\/files\/ABX00049_00.front.jpg?v=1727100624"},{"product_id":"uno-q","title":"Arduino® UNO™ Q 2GB","description":"\u003ch2\u003eWhy the 2GB variant is the scalable choice\u003c\/h2\u003e\n\u003cp style=\"text-align: justify;\"\u003eWhile the 4GB model is built for multitasking and desktop-like experiences, the 2GB RAM \/ 16GB eMMC model is the definitive version for production-ready efficiency:\u003c\/p\u003e\n\u003cul style=\"text-align: justify;\"\u003e\n\u003cli\u003eOptimized Performance: 2GB of LPDDR4 RAM provides ample headroom for dedicated Linux containers, Python-based logic, and optimized Machine Learning models without unnecessary power draw.\u003c\/li\u003e\n\u003cli\u003eCost-Efficient Deployment: The ideal solution for scaling projects from prototype to production where resource management and unit cost are critical.\u003c\/li\u003e\n\u003cli\u003eReliable Edge Intelligence: Perfect for single-purpose industrial gateways or dedicated \"smart\" nodes that require 24\/7 stability and a compact memory footprint.\u003c\/li\u003e\n\u003cli\u003eIntegrated High-Speed Storage: The 16GB eMMC ensures fast boot times and more reliable data handling than traditional SD cards.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDual-Brain architecture: the best of both worlds\u003c\/h2\u003e\n\u003cp style=\"text-align: justify;\"\u003eThe UNO Q 2GB features a unique \"Split-Processing\" design that allows you to manage tasks exactly where they belong:\u003c\/p\u003e\n\u003cul style=\"text-align: justify;\"\u003e\n\u003cli\u003eThe High-Level Brain (MPU): Powered by the Qualcomm® Dragonwing™ QRB2210 (Quad-core 64-bit ARM® Cortex®-A53). It runs a full Debian Linux environment, perfect for AI frameworks, secure networking, and complex data orchestration.\u003c\/li\u003e\n\u003cli\u003eThe Real-Time Brain (MCU): Powered by the STM32U585 (Cortex®-M33). It manages I\/O, sensors, and time-critical hardware tasks with the legendary reliability and low-latency of the Arduino ecosystem.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eAI Vision and Multimedia Ready\u003c\/h2\u003e\n\u003cp style=\"text-align: justify;\"\u003eBring your projects to life by adding \"eyes\" to your Arduino UNO™ Q. Thanks to the high-speed USB-C port and the power of the Qualcomm® quad-core processor, you can plug in a standard USB mini-webcam to unlock a world of possibilities. Whether you are implementing facial recognition with AI and Machine Learning, building a smart surveillance system, or streaming real-time video, the UNO Q handles it with ease. With native support for UVC webcams on Linux and seamless integration within Arduino App Lab, moving from image capture to data processing is faster and more intuitive than ever.\u003c\/p\u003e\n\u003ch2\u003eThe Arduino app lab: your bridge to innovation\u003c\/h2\u003e\n\u003cp style=\"text-align: justify;\"\u003eIncluded with the UNO Q 2GB is the Arduino App Lab, a next-gen software suite designed to unify your development experience:\u003c\/p\u003e\n\u003cul style=\"text-align: justify;\"\u003e\n\u003cli\u003eVisual Bridge: Effortlessly manage communication between the Linux OS (MPU) and the Arduino hardware (MCU).\u003c\/li\u003e\n\u003cli\u003eOne-Click AI: Deploy pre-trained machine learning models directly to the Qualcomm AI engine.\u003c\/li\u003e\n\u003cli\u003eReal-Time Dashboard: Monitor system health, CPU load, and pin status via a sleek, web-based interface.\u003c\/li\u003e\n\u003cli\u003eRemote Management: Perform Over-the-Air (OTA) updates for both firmware and Linux packages.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eApplications \u0026amp; use cases\u003c\/h2\u003e\n\u003cul style=\"text-align: justify;\"\u003e\n\u003cli\u003eIndustrial IoT Gateway: Securely aggregate and process sensor data locally before syncing with the cloud.\u003c\/li\u003e\n\u003cli\u003eDedicated Edge AI: Efficient object detection, environmental monitoring, or pattern recognition for specialized hardware.\u003c\/li\u003e\n\u003cli\u003eSmart Building Hubs: Act as the central brain for lighting, security, and climate control systems.\u003c\/li\u003e\n\u003cli\u003eAdvanced Robotics: Use Linux for high-level logic while the STM32 handles precision motor control and sensor fusion.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eNeed more than 2 GB RAM and 16 GM eMMC?\u003c\/h2\u003e\n\u003cp style=\"text-align: justify;\"\u003e\u003ca href=\"https:\/\/store.arduino.cc\/products\/uno-q-4gb\" target=\"_blank\" rel=\"noopener\"\u003eCheck out the Arduino UNO Q 4-GB variant\u003c\/a\u003e\u003c\/p\u003e\n\u003ch2\u003eNeed help?\u003c\/h2\u003e\n\u003cp style=\"text-align: justify;\"\u003eCheck the Arduino Forum for questions about the Arduino Language or how to make your own Projects with Arduino. If you need any help with your product, please contact the official Arduino User Support through our \u003ca href=\"https:\/\/www.arduino.cc\/en\/Main\/ContactUs\"\u003eContact us page\u003c\/a\u003e.\u003c\/p\u003e\n\u003ch2\u003eWarranty\u003c\/h2\u003e\n\u003cp style=\"text-align: justify;\"\u003eYou can find your product warranty information \u003ca href=\"https:\/\/www.arduino.cc\/en\/Main\/warranty\"\u003ehere\u003c\/a\u003e.\u003c\/p\u003e","brand":"Arduino","offers":[{"title":"Default Title","offer_id":55858379587959,"sku":"ABX00162","price":59.9,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0438\/4735\/2471\/files\/ABX00162_00.default.jpg?v=1759218128"},{"product_id":"uno-q-4gb","title":"Arduino® UNO™ Q 4GB","description":"\u003ch2\u003eWhy the 4GB variant is the professional choice\u003c\/h2\u003e\n\u003cp style=\"text-align: justify;\"\u003eWhile the UNO™ Q series offers versatility, the 4GB RAM \/ 32GB eMMC model is the definitive version for developers who refuse to compromise:\u003c\/p\u003e\n\u003cul style=\"text-align: justify;\"\u003e\n\u003cli\u003eMassive Memory: 4GB of LPDDR4 RAM allows you to run multiple Linux containers, Python scripts, and AI models simultaneously without bottlenecks.\u003c\/li\u003e\n\u003cli\u003eHigh-Speed Integrated Storage: Forget unreliable SD cards. The built-in 32GB eMMC ensures fast OS boot times and secure data logging.\u003c\/li\u003e\n\u003cli\u003eAdvanced Multimedia: Smoothly handle dual-camera feeds and high-definition displays via integrated MIPI interfaces.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDual-brain architecture: the best of both worlds\u003c\/h2\u003e\n\u003cp style=\"text-align: justify;\"\u003eThe UNO™ Q 4GB features a unique \"Split-Processing\" design that allows you to manage tasks where they belong:\u003cbr\u003e1. The High-Level Brain (MPU): Powered by the Qualcomm® Dragonwing™ QRB2210 (Quad-core 64-bit ARM® Cortex®-A53). It runs a full Debian Linux environment, perfect for AI frameworks, web servers, and complex data processing.\u003cbr\u003e2. The Real-Time Brain (MCU): Powered by the STM32U585 (Cortex®-M33). It manages the I\/O, sensors, and time-critical hardware tasks with the legendary reliability of the Arduino ecosystem.\u003c\/p\u003e\n\u003ch2\u003eAI Vision and Multimedia Ready\u003c\/h2\u003e\n\u003cp style=\"text-align: justify;\"\u003eBring your projects to life by adding \"eyes\" to your Arduino UNO™ Q. Thanks to the high-speed USB-C port and the power of the Qualcomm® quad-core processor, you can plug in a standard USB mini-webcam to unlock a world of possibilities. Whether you are implementing facial recognition with AI and Machine Learning, building a smart surveillance system, or streaming real-time video, the UNO Q handles it with ease. With native support for UVC webcams on Linux and seamless integration within Arduino App Lab, moving from image capture to data processing is faster and more intuitive than ever.\u003c\/p\u003e\n\u003ch2\u003eThe Arduino app lab: your bridge to innovation\u003c\/h2\u003e\n\u003cp style=\"text-align: justify;\"\u003eOne of the most powerful features of the UNO Q 4GB is the Arduino App Lab. This software suite simplifies the management of your hybrid system:\u003c\/p\u003e\n\u003cul style=\"text-align: justify;\"\u003e\n\u003cli\u003eSimplified Interconnect: Skip the complexity of low-level coding. Easy, high-level management of Linux (MPU) and Arduino (MCU) communication, making integration faster than ever.\u003c\/li\u003e\n\u003cli\u003eFlexible AI Execution: Get your models up and running in seconds. Deploy directly to the Qualcomm® processor, utilizing its high-performance CPU and GPU architecture for efficient machine learning tasks.\u003c\/li\u003e\n\u003cli\u003eReal-Time Dashboard: Monitor CPU temperature, memory usage, and pin status via a sleek, web-based interface.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eApplications \u0026amp; use cases\u003c\/h2\u003e\n\u003cul style=\"text-align: justify;\"\u003e\n\u003cli style=\"text-align: justify;\"\u003eEdge AI \u0026amp; Vision: Real-time object detection, facial recognition, and autonomous drone navigation.\u003c\/li\u003e\n\u003cli style=\"text-align: justify;\"\u003eIndustrial IoT Gateway: Securely aggregate data from local sensors and process it locally before cloud synchronization.\u003c\/li\u003e\n\u003cli style=\"text-align: justify;\"\u003eProfessional Prototyping: The perfect platform for building smart home hubs, media controllers, or advanced 3D printer interfaces.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eLooking for lower cost with balanced performance?\u003c\/p\u003e\n\u003cp style=\"text-align: justify;\"\u003e\u003ca href=\"https:\/\/store.arduino.cc\/products\/uno-q\" target=\"_blank\" rel=\"noopener\"\u003eCheck out the Arduino UNO™ Q 2-GB variant\u003c\/a\u003e.\u003c\/p\u003e\n\u003ch2\u003eNeed help?\u003c\/h2\u003e\n\u003cp style=\"text-align: justify;\"\u003eCheck the Arduino Forum for questions about the Arduino Language or how to make your own Projects with Arduino. If you need any help with your product, please contact the official Arduino User Support through our \u003ca href=\"https:\/\/www.arduino.cc\/en\/Main\/ContactUs\"\u003eContact us page\u003c\/a\u003e.\u003c\/p\u003e\n\u003ch2\u003eWarranty\u003c\/h2\u003e\n\u003cp style=\"text-align: justify;\"\u003eYou can find your product warranty information \u003ca href=\"https:\/\/www.arduino.cc\/en\/Main\/warranty\"\u003ehere\u003c\/a\u003e.\u003c\/p\u003e","brand":"Arduino","offers":[{"title":"Default Title","offer_id":56485750473079,"sku":"ABX00173","price":82.9,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0438\/4735\/2471\/files\/ABX00173_00.front.jpg?v=1768837006"},{"product_id":"ventuno-q","title":"Arduino®️ VENTUNO™ Q","description":"\u003cp style=\"text-align: justify;\"\u003eBuilt around a dual-brain architecture that pairs a Qualcomm Dragonwing™ IQ8 processor with a dedicated STM32H5 real-time microcontroller, VENTUNO Q doesn’t just interpret the world, it interacts with it. So you get sensing, decision, and action all on one board, on the edge, offline.\u003cbr\u003eThe AI brain with pre-loaded Linux delivers up to 40 dense TOPS of NPU acceleration for vision models, LLMs, and multi-modal AI inference. The action brain runs the Arduino Core on Zephyr RTOS, enabling sub-millisecond, deterministic control of motors, CAN-FD, PWM, and GPIO. The two communicate seamlessly via an RPC bridge: no multi-device complexity, no latency penalty, no compromise.\u003cbr\u003eIt’s the most powerful Arduino platform to date, offering 16 GB LPDDR5 RAM and 64 GB industrial-grade eMMC with expandable M.2 NVME Gen.4 port. On the MPU side, it runs standard Ubuntu (and Debian coming soon) Linux. Yet it maintains the openness, versatility, and ease of use that Arduino has become synonymous with. Docker and apt are already installed and available on the board, and you can program with VS Code, your own IDE, native Linux tools — whatever workflow your team already uses. You're never locked into it. \u003c\/p\u003e\n\u003ch4\u003ePurpose-built for robotics and industrial edge AI\u003c\/h4\u003e\n\u003cp\u003eVENTUNO Q is engineered for systems that move, manipulate, and respond with precision. ROS 2 compatibility, real-time CAN-FD and PWM control, triple MIPI-CSI camera inputs for 360° vision, and 2.5 Gb Ethernet are all built in. Typical applications include:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAutonomous mobile robots, drones, and pick-and-place arms – with vision-guided manipulation and Visual SLAM.\u003c\/li\u003e\n\u003cli\u003eIndustrial edge AI for predictive maintenance, process automation, and energy monitoring.\u003c\/li\u003e\n\u003cli\u003eLocal intelligence that processes data on-device, for anything from traffic monitoring in smart cities to responsive environments in connected homes.\u003c\/li\u003e\n\u003cli\u003eAutomated quality inspection with local VLMs for on-premises defect detection.\u003c\/li\u003e\n\u003cli\u003eEducation and research platforms for computer vision, generative AI, and embedded systems at any level.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eOne board. Three ways to build with AI\u003c\/h4\u003e\n\u003cul style=\"text-align: justify;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eReady to run.\u003c\/strong\u003e A curated library of AI models, fully optimized for the IQ8 NPU via Qualcomm AI Hub, is available out of the box with no configuration required. The current library includes: Qwen 3 4B LLM; Qwen 2.5 7B and 3 4B VLM; Gemma 4 E2B and E4B; Whisper ASR; Melo and Piper TTS; YoloX small object detection; and MediaPipe gesture recognition. Additional models and Bricks are added continuously.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBring your own model.\u003c\/strong\u003e Upload a GGUF-format model from Hugging Face or Qualcomm AI Hub directly via the llama.cpp Brick in Arduino App Lab and build on it immediately – compatible with the full open-weight ecosystem, no framework migration required.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTrain your own model.\u003c\/strong\u003e Use the integrated Edge Impulse Studio to train and quantize custom models, optimized for the Dragonwing IQ8 NPU and deployed directly into Arduino App Lab with one click.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eFrom prototype to production\u003c\/h4\u003e\n\u003cp style=\"text-align: justify;\"\u003eVENTUNO Q is built for industrial standards and designed to go beyond the bench. When a VENTUNO Q prototype is ready for commercial deployment, the same Dragonwing IQ8 architecture will be available as production-certified SOMs from select Dragonwing IQ8 certified partners. The software stack, AI models, and application logic developed on VENTUNO Q carry forward directly – no hardware re-architecture required.\u003c\/p\u003e\n\u003ch4\u003eArduino® App Lab a unified experience (but not your only option!)\u003c\/h4\u003e\n\u003cp\u003eYou can program VENTUNO Q with the tools you are used to. Or you can enjoy the all-new Arduino App Lab, for an integrated development environment that unifies the journey across Linux and real-time OS.\u003cbr\u003ePreloaded on VENTUNO Q, Arduino App Lab combines Arduino Sketches, Python scripts, and containerized AI models into fully integrated applications all managed from a single interface.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli style=\"text-align: justify;\"\u003eReady-to-use Apps and Bricks. Get started fast with Arduino Apps, self-contained examples with everything you need. Add plug-and-play features to your projects with pre-built Bricks to accelerate your ideas even more.\u003c\/li\u003e\n\u003cli style=\"text-align: justify;\"\u003ePre-loaded AI Models. With pre-loaded AI models in Arduino App Lab, you can leverage the real-world data for a wide range of capabilities such as object\/human detection, anomaly detection, image classification, sound recognition, and keyword spotting.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp style=\"text-align: justify;\"\u003e\u003ca href=\"https:\/\/docs.arduino.cc\/software\/app-lab\/\"\u003eFind out more in our official documentation.\u003c\/a\u003e\u003c\/p\u003e\n\u003ch4\u003eNeed Help?\u003c\/h4\u003e\n\u003cp style=\"text-align: justify;\"\u003eCheck the \u003ca href=\"https:\/\/forum.arduino.cc\/c\/official-hardware\/ventuno-q\/227\"\u003eArduino Forum\u003c\/a\u003e for questions about the \u003ca href=\"https:\/\/forum.arduino.cc\/index.php?board=4.0\"\u003eArduino Language\u003c\/a\u003e or how to make your own \u003ca href=\"https:\/\/projecthub.arduino.cc\/?value=VENTUNO+Q\"\u003eProjects with Arduino\u003c\/a\u003e. If you need any help with your product, please contact the official Arduino User Support through our \u003ca href=\"https:\/\/www.arduino.cc\/en\/Main\/ContactUs\"\u003eContact us\u003c\/a\u003e page.\u003c\/p\u003e\n\u003ch4\u003eWarranty\u003c\/h4\u003e\n\u003cp style=\"text-align: justify;\"\u003eYou can find your product warranty information \u003ca href=\"https:\/\/www.arduino.cc\/en\/Main\/warranty\"\u003ehere\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp style=\"text-align: justify;\"\u003e\u003cem\u003eQualcomm branded products are products of Qualcomm Technologies, Inc. and\/or its subsidiaries. \u003c\/em\u003e\u003cbr\u003eArduino, VENTUNO, and the Arduino logo are trademarks or registered trademarks of Arduino S.r.l.\u003c\/p\u003e","brand":"Arduino","offers":[{"title":"Default Title","offer_id":57309569810807,"sku":"ABX00181","price":298.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0438\/4735\/2471\/files\/ABX00181_01.iso.jpg?v=1784300672"}],"url":"https:\/\/store.arduino.cc\/collections\/single-board-computers.oembed","provider":"Arduino Official Store","version":"1.0","type":"link"}