{"id":47221,"date":"2026-03-09T19:51:12","date_gmt":"2026-03-09T19:51:12","guid":{"rendered":"https:\/\/agooka.com\/news\/technologies\/qualcomm-introduces-ai-focused-ventuno-q-single-board-computer\/"},"modified":"2026-03-09T19:51:12","modified_gmt":"2026-03-09T19:51:12","slug":"qualcomm-introduces-ai-focused-ventuno-q-single-board-computer","status":"publish","type":"post","link":"https:\/\/agooka.com\/news\/technologies\/qualcomm-introduces-ai-focused-ventuno-q-single-board-computer\/","title":{"rendered":"Qualcomm introduces AI-focused Ventuno Q single-board computer"},"content":{"rendered":"<p><img decoding=\"async\" src=\"https:\/\/dataconomy.com\/wp-content\/uploads\/2026\/03\/1153012.jpg\" alt=\"Qualcomm introduces AI-focused Ventuno Q single-board computer\" title=\"Qualcomm introduces AI-focused Ventuno Q single-board computer\"\/><\/p>\n<p>Qualcomm announced the Arduino Ventuno Q, a new AI-focused single-board computer designed for robotics applications.<\/p>\n<p>The platform follows Qualcomm\u2019s purchase of Arduino last year and targets developers requiring offline AI and deterministic control. The board combines high-performance processing with integrated robotics capabilities for edge deployment.<\/p>\n<p>The Ventuno Q uses Qualcomm\u2019s Dragonwing IQ8 processor and a dedicated STM32H5 low-latency microcontroller. The Dragonwing IQ8 includes an 8-core ARM Cortex CPU, an Adreno Arm Cortex A623 GPU, and a Hexagon Tensor NPU capable of up to 40 TOPs. The board features 16GB of LPDDR5 RAM, 64GB of eMMC storage, and an M.2 NVMe Gen.4 expansion slot.<\/p>\n<p>Connectivity options include Wi-Fi 6, Bluetooth 5.3, 2.5Gbps Ethernet, and USB camera support. The system supports a full robotics stack that combines vision processing with deterministic motor control for precise manipulation.<\/p>\n<p>The Ventuno Q includes Arduino App Lab with pre-trained AI models running offline. Models include LLMs, VLMs, ASR, gesture recognition, pose estimation, and object tracking. The board targets offline systems such as smart kiosks, healthcare assistants, traffic flow analysis, and Edge AI vision and sensing.<\/p>\n<p>Arduino stated the platform is ideal for education and research in computer vision, generative AI, and edge prototyping. Qualcomm stated the platform aims to make advanced robotics and edge AI accessible to developers, educators, and innovators.<\/p>\n<p>\u201cWith Ventuno Q, AI can finally move from the cloud into the physical world,\u201d Qualcomm stated. \u201cThis platform enables building machines that perceive, decide, and act \u2014 all on a single board.\u201d Qualcomm added its goal is to make advanced robotics and edge AI accessible to every developer, educator, and innovator.<\/p>\n<p>The Arduino Ventuno Q will be available in Q2 2026 from the Arduino Store and other retailers. The unit is expected to cost under $300.<\/p>\n<p>Qualcomm purchased Arduino last year. The Dragonwing IQ8 processor line targets edge AI and industrial applications.<\/p>\n<p><strong>Featured image credit<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Qualcomm announced the Arduino Ventuno Q, a new AI-focused single-board computer designed for robotics applications. The platform follows Qualcomm\u2019s purchase of Arduino last year and targets developers requiring offline AI and deterministic control. The board combines high-performance processing with integrated robotics capabilities for edge deployment. The Ventuno Q uses Qualcomm\u2019s Dragonwing IQ8 processor and a [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":47222,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[37],"tags":[],"class_list":{"0":"post-47221","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-technologies"},"_links":{"self":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/posts\/47221","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/comments?post=47221"}],"version-history":[{"count":0,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/posts\/47221\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/media\/47222"}],"wp:attachment":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/media?parent=47221"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/categories?post=47221"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/tags?post=47221"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}