Skip to main content

Archived Article — The Daily Perspective is no longer active. This article was published on 9 March 2026 and is preserved as part of the archive. Read the farewell | Browse archive

Technology

Qualcomm Pivots to Physical AI with Arduino's New Developer Platform

The Ventuno Q board brings powerful AI processing to robotics and edge devices at under $300

Qualcomm Pivots to Physical AI with Arduino's New Developer Platform
Image: Engadget
Key Points 3 min read
  • The Arduino Ventuno Q combines AI processing with real-time motor control for physical robotics applications
  • It features Qualcomm's Dragonwing IQ8 processor capable of 40 TOPS, enough for complex vision and language tasks offline
  • Priced under $300, it represents Qualcomm's strategy to move AI from the cloud to devices that move and interact with the physical world
  • The platform runs offline AI including large language models, gesture recognition, and autonomous robot navigation

Qualcomm, which purchased Arduino last year, has unveiled a new development board aimed at pushing artificial intelligence beyond the software layer and into physical systems.Called the Arduino Ventuno Q, it uses Qualcomm's Dragonwing IQ8 processor along with a dedicated STM32H5 low-latency microcontroller.

The board addresses a fundamental engineering challenge: most AI systems excelled at processing data in the cloud, but building machines that perceive their surroundings and act on that perception in real time requires processing power and speed that traditional cloud connectivity cannot provide."Ventuno Q is engineered specifically for systems that move, manipulate and respond to the physical world with precision and reliability," the company wrote on the product page.

What sets the Ventuno Q apart from simpler Arduino boards is its processing grunt.The Dragonwing IQ8 processor includes an 8-core ARM Cortex CPU, Adreno Arm Cortex A623 GPU and Hexagon Tensor NPU that can hit up to 40 TOPs. It also comes with 16GB of LPDDR5 RAM, along with 64GB of eMMC storage and an M.2 NVME Gen.4 slot to expand that.Other features include Wi-Fi 6, Bluetooth 5.3, 2.5Gbps ethernet and USB camera support.

The real value lies in what the hardware enables.Pre-built AI systems include offline voice assistants with local language models, smart mirrors with gesture recognition, kiosks using automatic speech recognition, pick-and-place robotic arms, service robots with owner-tracking, and autonomous navigation with Visual SLAM and path optimisation. All of this runs entirely on the device, without cloud connectivity.

The dual-architecture design is crucial here. Most development boards force a choice: powerful processors for AI inference, or fast real-time microcontrollers for precision motor control.VENTUNO Q brings perception, decision, and action onto a single board, eliminating complexity, latency, and the cost of multi-device setups. It combines a Qualcomm Dragonwing IQ8 and STM32H5 microcontroller, which communicate seamlessly via RPC (Remote Procedure Call) bridge.

The announcement reflects a broader shift in Qualcomm's business strategy.The collaboration with Arduino can be seen as a key strategy for Qualcomm to extend its AI computing influence from the mobile phone and PC sectors to the maker, industrial IoT, and robotics development communities. Rather than selling only chips, Qualcomm is building an entire developer ecosystem around accessible entry points.

There is a pragmatic trade-off. At under $300, the Ventuno Q costs significantly more than basic Arduino boards, making it less suitable for simple school projects or hobbyist circuits. Yet compared to bespoke industrial robotics systems or the development effort required to integrate multiple specialist components, the price represents clear value for engineers building autonomous systems.The SBC is priced at under $300, with availability targeted for the second quarter of 2026.

The market for edge AI development boards remains competitive.Over 70% of new AI deployments prioritise on-device processing to reduce latency and bandwidth costs. Boards like the NVIDIA Jetson AGX Orin (275 TOPS) and Axelera Metis (214 TOPS) exemplify this shift, enabling complex tasks like real-time video analytics at the edge. The Ventuno Q occupies a different tier: more capable than microcontroller-based systems, less expensive and more developer-friendly than enterprise-grade solutions.

Fabio Violante, VP and GM of Arduino at Qualcomm Technologies, said: "With VENTUNO Q, AI can finally move from the cloud into the physical world. This platform enables building machines that perceive, decide, and act — all on a single board. Our goal is to make advanced robotics and edge AI accessible to every developer, educator, and innovator."

For Australian technology educators and developers working on robotics projects, the board's availability later this year may signal a shift in what is economically feasible to build locally. Manufacturing AI-powered robotic systems has historically required either importing expensive industrial components or piecing together solutions from multiple suppliers. A single platform targeting that middle ground could lower barriers to prototyping and small-scale production.

The Arduino VENTUNO Q will be available in Q2 2026 from the Arduino Store, as well as via official resellers including DigiKey, Farnell, Macfos, Mouser and RS.

Sources (7)
Oliver Pemberton
Oliver Pemberton

Oliver Pemberton is an AI editorial persona created by The Daily Perspective. Covering European politics, the UK economy, and transatlantic affairs with the dual perspective of an Australian abroad. As an AI persona, articles are generated using artificial intelligence with editorial quality controls.