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Qualcomm announced plans to acquire Arduino on October 7, 2025, when it also introduced the UNO Q single-board computer and Arduino App Lab. Arduino’s current FAQ now says Qualcomm Technologies has acquired the company. UNO Q’s defining feature is its split design: Linux-capable computing and AI workloads run alongside a separate microcontroller for real-time control.
What happened to Arduino?
Qualcomm’s October 7, 2025 announcement described the acquisition as a way to connect Arduino’s developer community and open-source approach with Qualcomm’s computing and AI portfolio. Arduino’s current FAQ says Qualcomm Technologies has acquired Arduino. The FAQ also says Arduino will retain its independent brand, tools, and mission, and remain committed to open and multi-vendor hardware support. Those are Arduino’s stated commitments, not independently verified guarantees about future decisions. Qualcomm’s announcement and Arduino’s acquisition FAQ provide the companies’ accounts.
Qualcomm executive Nakul Duggal framed the deal as a way to broaden developers’ access to Qualcomm AI and computing products. Arduino CEO Fabio Violante described the launch as making AI development more intuitive and accessible. These statements explain the companies’ intent; they do not establish measured outcomes.
What is the Arduino UNO Q?
UNO Q is a development board that combines two kinds of computing. A Qualcomm Dragonwing QRB2210 MPU/SoC handles high-level tasks such as Linux applications, connectivity, media control, and AI inference. A separate STM32U585 microcontroller handles real-time work such as reading sensors, controlling motors, and low-latency signal processing. This arrangement lets a project pair richer software with dedicated hardware control rather than asking one processor to do both jobs.
#1 Best Overall
![Arduino® UNO™ Q 4GB [ABX00173]- Hybrid Board, Qualcomm Dragonwing QRB2210 microprocessor (MPU) & STM32U585 Microcontroller(MCU), AI Vision, Voice, IoT, Robotics, Linux Debian OS, Wi-Fi 5, USB-C](https://m.media-amazon.com/images/I/51cl4xygwGL._SL160_.jpg)
- Dual-Brain Hybrid Power: Combines the Qualcomm Dragonwing QRB2210 MPU (Quad-core Arm Cortex-A53 @ 2.0 GHz CPU, Adreno GPU, AI acceleration) and the real-time, low-power STM32U585 MCU for advanced applications like object recognition, voice commands, and motion detection.
- AI & Linux Capabilities: Unlocks AI-powered vision and sound solutions; runs Linux Debian OS for coding in Python and supports the Arduino ecosystem with libraries and Sketches; quick start with Arduino App Lab.
- Advanced Features: Equipped with 4 GB LPDDR4 RAM, 32 GB eMMC built-in storage, ideal for single-board computer (SBC) mode, running multiple simultaneous high-level processes, more complex AI or ML models, extensive logs. Dual-band Wi-Fi 5 (2.4/5 GHz), Bluetooth 5.1, and high-speed headers for vision, audio, and display peripherals.
- Seamless Expansion & Connectivity: Features the classic UNO form factor for shields compatibility, an 8x13 LED matrix, and a Qwiic connector for easy expansion with Modulino nodes; power and connect via the USB-C connector.
- Intended Use & Development: The perfect platform for prototyping robotics or IoT projects, empowering innovators with a unified development experience to mix Arduino Sketches, Python scripts, and containerized AI models in a single interface.
The board runs a Debian-based Linux environment and is designed to work with Arduino’s tools. Arduino App Lab brings together Arduino sketches, Python, Linux, and AI development workflows in one environment. Vendor materials also describe Edge Impulse integration for building or optimizing models. Examples include object or human detection, anomaly detection, image classification, sound recognition, and keyword spotting; these are described capabilities and use cases, not independent performance test results. See Qualcomm’s UNO Q hardware page and Arduino’s launch overview.
Can UNO Q run Linux?
Yes. UNO Q’s Qualcomm MPU runs a Debian-based Linux environment, while the STM32U585 microcontroller remains available for real-time control. Linux is useful for higher-level applications and development workflows; the separate microcontroller is intended for work that needs predictable, low-latency responses.
Rank #2
- HIGH‑PERFORMANCE AI BOARD: 4GB RAM enables advanced AI models, multitasking, and high‑performance computing for edge AI applications.
- HYBRID PROCESSING POWER: Combines Qualcomm MPU and STM32 MCU for real‑time control and AI acceleration in robotics and automation.
- 45W USB‑C POWER INCLUDED: Stable and regulated power supply ensures reliable operation during heavy workloads and peripheral usage.
- BUILT‑IN CONNECTIVITY: Wi‑Fi 5 and Bluetooth 5.1 enable wireless communication for smart devices and IoT ecosystems.
- IDEAL FOR ADVANCED PROJECTS: Designed for engineers and developers building scalable AI, robotics, and industrial IoT systems.
How can you connect peripherals?
Qualcomm lists built-in Wi-Fi and Bluetooth, Qwiic and GPIO expansion, Arduino shields, and compatible peripheral options. Compatibility depends on the specific accessory and setup, so check the current UNO Q documentation before choosing a shield, sensor, or other peripheral.
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Arduino’s guidance is workload-based: the 2GB model suits a dedicated, lightweight application, while 4GB is aimed at more demanding Linux use. Arduino announced the 4GB model with 32GB of eMMC storage on January 20, 2026.
Rank #3
- Dual-Brain Hybrid Power: Combines the Qualcomm Dragonwing QRB2210 MPU (Quad-core Arm Cortex-A53 @ 2.0 GHz CPU, Adreno GPU, AI acceleration) and the real-time, low-power STM32U585 MCU for advanced applications like object recognition, voice commands, and motion detection.
- AI & Linux Capabilities: Unlocks AI-powered vision and sound solutions; runs Linux Debian OS for coding in Python and supports the Arduino ecosystem with libraries and Sketches; quick start with Arduino App Lab.
- Advanced Features: Equipped with 2 GB LPDDR4 RAM, 16 GB eMMC built-in storage, ideal to develop in PC-connected mode, running the OS, Python scripts, and basic network services (SSH) without a demanding GUI or heavy multitasking; great for lightweight AI and memory-optimized TinyML applications, needing local storage for basic OS and core libraries. Dual-band Wi-Fi 5 (2.4/5 GHz), Bluetooth 5.1, and high-speed headers for vision, audio, and display peripherals.
- Seamless Expansion & Connectivity: Features the classic UNO form factor for shields compatibility, an 8x13 LED matrix, and a Qwiic connector for easy expansion with Modulino nodes; power and connect via the USB-C connector.
- Intended Use & Development: The perfect platform for prototyping robotics or IoT projects, empowering innovators with a unified development experience to mix Arduino Sketches, Python scripts, and containerized AI models in a single interface.
| Variant | Best fit, according to Arduino | Published configuration | Store-page price |
|---|---|---|---|
| UNO Q 2GB | A dedicated, lightweight application | 2GB RAM; storage capacity not stated on the cited store page | €59.90, as displayed on Arduino’s store page when accessed for this article; may change or differ by country |
| UNO Q 4GB | A standalone graphical Linux desktop, several simultaneous high-level processes, larger AI or machine-learning models, or more onboard storage | 4GB RAM and 32GB eMMC, announced by Arduino on January 20, 2026 | €82.90, as displayed on Arduino’s store page when accessed for this article; may change or differ by country |
The configuration and workload guidance come from Arduino’s 4GB model announcement; prices are page-displayed figures from the Arduino store listing, not fixed prices for every region or date.
Choose by the project, not just the RAM number
- Choose 2GB when the board will run one focused application and does not need substantial multitasking, a desktop interface, or a larger local model.
- Consider 4GB when the project needs a graphical Linux desktop, multiple high-level processes at once, a larger AI or machine-learning model, or additional onboard storage.
- Check whether Linux is necessary. If the project only needs microcontroller-style input/output and control, UNO Q’s Linux-capable side may not be a requirement; its value is the combination of high-level processing and real-time control.
- Plan around the workload. AI inference, computer-vision tasks, connectivity, and simultaneous application activity can influence the memory and storage you need. The available vendor materials do not provide independent benchmarks for comparing UNO Q’s speed with other boards.
What does Qualcomm’s acquisition mean for existing Arduino users?
Arduino’s FAQ says existing boards and support are expected to continue, and that its open-source foundation—including hardware schematics, SDKs, libraries, and IDEs—will remain. Arduino also says the Arduino IDE and CLI will continue to support sketches and microcontroller programming, while App Lab and App CLI expand the available tools. Treat these as Arduino’s stated plans and commitments rather than an independent guarantee of every future product or support decision. Arduino’s FAQ sets out the company’s position.
Rank #4
![Arduino UNO R4 WiFi [ABX00087] - Renesas RA4M1 + ESP32-S3, Wi-Fi, Bluetooth, USB-C, CAN, 12-bit DAC, OP AMP, Qwiic Connector, 12x8 LED Matrix for Advanced IoT & Embedded Projects](https://m.media-amazon.com/images/I/416S910MpBL._SL160_.jpg)
- Dual-Core Processing with Renesas RA4M1 and ESP32-S3: The Arduino UNO R4 WiFi combines the Renesas RA4M1 microcontroller (ARM Cortex-M4) and the ESP32-S3 Wi-Fi/Bluetooth chip, delivering powerful dual-core processing capabilities. This combination offers flexibility for a wide range of projects, from high-speed communications and wireless control to real-time data processing and edge AI applications.
- Comprehensive Wireless Connectivity: Equipped with Wi-Fi and Bluetooth 5.0, the UNO R4 WiFi ensures robust wireless communication for IoT projects, remote sensors, smart devices, and wireless control applications. Whether connecting to the cloud, other devices, or local networks, the board offers stable and high-speed wireless connectivity for seamless operation.
- Modern USB-C, CAN, & Qwiic Connector: The USB-C port enables efficient power delivery and fast programming, improving ease of use compared to traditional USB connections. The Controller Area Network (CAN) support allows for reliable, real-time communication in industrial, automotive, or robotic systems. Additionally, the Qwiic Connector makes it easy to add I2C sensors and peripherals, simplifying the connection process and reducing the need for complex wiring.
- High-Precision 12-bit DAC & OP-AMP: For projects that require high-quality analog output, the 12-bit DAC (Digital-to-Analog Converter) and integrated operational amplifier (OP-AMP) provide precise analog signal generation and amplification. This feature is ideal for audio projects, sensor interfacing, or applications where analog signal control and processing are necessary.
- Integrated 12x8 LED Matrix: The UNO R4 WiFi includes a built-in 12x8 LED Matrix, enabling users to display dynamic visuals, messages, or real-time data on the board itself. This makes it perfect for projects that require immediate visual feedback, such as status indicators, event displays, or interactive user interfaces.
Is Arduino still open source?
Arduino says its open-source foundation remains and that it is committed to multi-vendor hardware support. The FAQ specifically names hardware schematics, SDKs, libraries, and IDEs as part of that foundation. For users, the practical distinction is between the company’s stated commitment and a guarantee about all future products: the FAQ expresses Arduino’s position, while future implementation remains subject to the company’s decisions.
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Arduino’s launch materials list the Arduino store, RS Components, DigiKey, Mouser, and Macfos among order channels. Availability and price can vary by country and over time, so check the current product page or a listed distributor for local stock. The cited materials do not establish Amazon availability.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
