Qualcomm Dragonwing™ 
IoT for Developers

Build and scale edge AI applications on devices powered by Qualcomm Dragonwing™ processors. Access the hardware, software, and tools you need to develop and deploy solutions.

Hardware for IoT Development

An array of IoT evaluation and development kits, powered by Dragonwing processors, are backed by an ecosystem of developer tools, so you can prototype quickly and scale up to complex, commercial products.

Rubik Pi Development Board

Affordable, open-source board for prototyping.

 

Ideal for:
Robotics, computer vision, audio.

ARDUINO® UNO Q Board

Dragonwing™ QRB2210 processor + STM32U5 MCU (dual architecture) | Linux + real time control | Integrated Wi Fi 5 + Bluetooth ® 5.1 



 

Use for:

  • Rapid IoT and edge AI prototyping for lightweight, entry-level, or budget-friendly scenarios.
  • Edge AI vision and perception, smart sensing, and telemetry real-time detection, environmental sensing, local logic.
  • Hybrid real-time control and interactive AI systems and vision-based human-aware systems.

ARDUINO® VENTUNO™ Q Board

Dragonwing™ IQ 8275 + STM32H5 (dual architecture) | Up to 40 TOPS AI performance | Integrated Wi Fi 6 + Bluetooth 5.3


 

Use for:

  • Autonomous physical agents that incorporate LLMs, vision-language models (VLMs), local reasoning, and autonomous execution.
  • AI robotics platforms like autonomous mobile robots (AMRs) with visual simultaneous localization and mapping (SLAM) and human-machine interactions like automatic speech recognition (ASR), text-to-speech (TTS), and gesture recognition.
  • Vision-assisted automation, such as smart camera systems, monitoring, and inventory detection.

Dragonwing™ IQ-8275 Evaluation Kit (EVK)

Dragonwing™ IQ-8275 processor | Up to 40 TOPS AI performance | Qualcomm® Hexagon™ Tensor Processor | Integrated Wi Fi 6E + Bluetooth 5.3 | Ubuntu®, Upstream Linux® with Yocto Support | Up to 12 concurrent camera connections

Use for:

  • Edge AI processing and edge gateways incorporating small language models (SLMs), VLMs, LLMs, data aggregation, IoT connectivity, and edge AI inferencing.
  • Sensor fusion and robotics systems, such as video processing, fleet management, drones, AMRs, cobots, palletizers, compact robots, drones, and robotic arms.
  • Industrial vision and control systems like smart sensors, industrial controllers, inspection, quality control, and safety monitoring.

Dragonwing™ IQ-9075 Evaluation Kit (EVK)

Dragonwing™ IQ 9075 processor | Up to 100 TOPS AI performance | Dual Hexagon Tensor Processors | Integrated Wi Fi 6E + Bluetooth 5.3 | Ubuntu®, Upstream Linux with Yocto Support | Up to 16 concurrent camera connections

Use for:

  • Agentic local AI processing and advanced AI models like LLMs with two concurrent LLMs, VLMs, compute, smart vision, and language processing.
  • Industrial robotics and automation include complex AMRs, robots, UAVs/drones, agriculture and industrial robotics, intelligent inspection, and factory automation.
  • Multi-sensor and large-scale edge AI systems incorporating camera fusion for surveillance, navigation, process automation, industrial IoT, smart cities, retail, or healthcare.

IQ-9075 Evaluation Kit (EVK)

High performance kits for extreme environments.

 

Ideal for:
Edge Ai and surveillance.

Build and scale edge AI applications on devices powered by Qualcomm Dragonwing™ processors. Access the hardware, software, and tools you need to develop and deploy solutions.

Hardware for IoT Development

An array of IoT evaluation and development kits, powered by Dragonwing processors, are backed by an ecosystem of developer tools, so you can prototype quickly and scale up to complex, commercial products.

Rubik Pi Development Board

Affordable, open-source board for prototyping.

 

Ideal for:
Robotics, computer vision, audio.

IQ-8275 Evaluation Kit
HARDWARE
IQ-8275 Evaluation Kit
Dragonwing™ IQ-8275 processor | Up to 40 TOPS AI performance | Qualcomm® Hexagon™ Tensor Processor | Integrated Wi Fi 6E + Bluetooth 5.3 | Ubuntu®, Upstream Linux® with Yocto Support | Up to 12 concurrent camera connections.
IQ-9075 Evaluation Kit
HARDWARE
IQ-9075 Evaluation Kit
Dragonwing™ IQ-9075 processor | Up to 100 TOPS AI performance | Dual Hexagon Tensor Processors | Integrated Wi Fi 6E + Bluetooth 5.3 | Ubuntu®, Upstream Linux with Yocto Support | Up to 16 concurrent camera connections.
Arduino®️ VENTUNO™ Q
HARDWARE
Arduino®️ VENTUNO™ Q
The Arduino®️ VENTUNO™ Q is the edge AI computer that redefines what is possible at the edge, serving as the definitive powerhouse for AI and robotics applications. At its core lies a revolutionary Dual-Brain architecture: the robust Qualcomm Dragonwing™ IQ-8275 delivers a massive up to 40 dense TOPS of AI compute for advanced computer vision and local LLMs, VLMs, gesture recognition and more, while the dedicated STM32H5 Microcontroller ensures the low-latency precision required for complex motor control and robotics. Designed for a zero-friction start, the VENTUNO Q ensures you remain connected and ready to execute. It features integrated Wi-Fi® 6 connectivity for fast, reliable data transfer, alongside a suite of built-in connectors, including high-speed USB 3.0, HDMI, 2.5 Gb Ethernet, and expandable NVMe Gen.4 storage, eliminating the need for messy adapters. Compatible with Arduino® UNO Shields and Carriers, Raspberry Pi Hat and Arduino Modulino Nodes for rapid prototyp and development.
  • Dual-Brain Architecture — Powered by Qualcomm Dragonwing™ IQ8 NPU + STM32H5 MCU
  • 40 Dense TOPS NPU for Edge AI — Run local LLMs, VLMs and more AI models on-device
  • 16GB RAM + 64GB eMMC — Expandable with M.2 NVMe Gen.4 for memory-intensive AI workloads
  • Universal Compatibility — supports Arduino UNO Shields, Carrier, Raspberry Pi Hats, and Modulin
  • Production-Ready Connectivity — Wi-Fi 6, 2.5Gb Ethernet, CAN Bus, MIPI camera connector, USB 3.0
  • Robotics Control — Support ROS 2, Deterministic, low-latency actuation via MCU
Arduino UNO Q
HARDWARE
Arduino UNO Q
Arduino UNO Q’s hybrid design makes it the ideal dual-brain platform for your next innovation. It combines a Linux® Debian-capable Qualcomm Dragonwing™ QRB2210 microprocessor with a real-time STM32U585 microcontroller (MCU). It’s Arduino, it’s a computer, it’s anything you want to build.
  • AI in a blink: Unlock AI-powered vision and sound solutions that react to their environment in real time.Quick start apps: Jumpstart development with plenty of pre-built examples and templates available through Arduino App Lab.Designed to expand: Expandable with Qwiic connector for Modulino nodes, carriers and more.

IQ-9075 Evaluation Kit (EVK)

High performance kits for extreme environments.

 

Ideal for:
Edge Ai and surveillance.

Software & Developer Tools

A full stack of tools optimized for Dragonwing silicon includes custom Android and Linux builds, SDKs, AI tools, and DevOps services designed for end-to-end development.

Resources

Project Hubs

Arduino Project Hub

A community-driven platform where makers discover, share, and collaborate on Arduino-based projects and tutorials spanning a wide range of applications.

Robotics Hub (hosted on Arduino Project Hub)

A curated robotics development hub for both Dragonwing and Arduino products, featuring projects, sample applications, and reference builds to speed up prototyping and development.

Latest Blogs

Latest Videos

GL3213S
GL3213S is an USB 3.2 Gen 1 to SD3.0/MMC Single LUN card reader controller for ChromeOS. GL3213S can support various types of memory cards, such as Secure DigitalTM (SD), SDHC, miniSD, microSD (T-Flash), MultiMediaCardTM (MMC), RS-MMC, MMCmicro and MMCmobile on one chip. It also supports high density memory cards (Capacity up to 2TB), such as SDXC and high speed memory cards, SD 3.0 UHS-I cards. GL3213S integrates a high speed 8051 microprocessor and a high efficiency hardware engine for the best data transfer performance between USB and various memory card interfaces. It also integrate 3.3V to 1.2V regulators and power MOSFETs which can reduce the system BOM cost. 
GL3213
GL3213 is an USB 3.2 Gen 1 to SD3.0/MS Single LUN card reader controller. GL3213 can support various types of memory cards, such as Secure DigitalTM (SD), SDHC, miniSD, microSD (T-Flash), MultiMediaCardTM (MMC), RS-MMC, MMCmicro, MMCmobile, Memory StickTM (MS), Memory Stick DuoTM (MS Duo), High Speed Memory StickTM (HS MS), Memory Stick PROTM (MS PRO), Memory Stick PROTM Duo (MS PRO Duo), Memory Stick PRO-HGTM (MS PRO-HG) and MS PRO Micro on one chip. It also supports high density memory cards (Capacity up to 2TB), such as SDXC and Memory Stick XC, and high speed memory cards, SD3.0 UHS-I cards.  
GL9750S
GL9750S is a PCI Express Rev. 1.1 compliant card reader controller which integrates PCI Express PHY, memory card access interface, regulators (3.3V-to-1.2V) and card power switch. GL9750S supports various types of SD memory cards, such as Secure DigitalTM (SD), SDHC, miniSD and microSD (T-Flash), MultiMediaCardTM (MMC), RS-MMC, MMCmicro and MMCmobile. It also supports high density memory cards (Capacity up to 2TB), such as SDXC, ultra high speed memory cards, SD 3.0 UHS-I. GL9750S supports PCI Express L1 PM sub-states, Runtime D3 (RTD3), Latency Tolerance Reporting (LTR), and Optimized Buffer Flush/Fill (OBFF) for saving power consumption.
GL9750
GL9750 is a PCI Express Rev. 1.1 compliant card reader controller which integrates PCI Express PHY, memory card access interface, regulators (3.3V-to-1.2V) and card power switch. GL9750 supports various types of SD memory cards, such as Secure DigitalTM (SD), SDHC, miniSD and microSD (T-Flash), MultiMediaCardTM (MMC), RS-MMC, MMCmicro and MMCmobile. It also supports high density memory cards (Capacity up to 2TB), such as SDXC, ultra high speed memory cards, SD 3.0 UHS-I. GL9750 supports PCI Express L1 PM sub-states, Runtime D3 (RTD3), Latency Tolerance Reporting (LTR), and Optimized Buffer Flush/Fill (OBFF) for saving power consumption.

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Join a global community of innovators. Whether you're building AI-powered applications, connected devices, robotics, XR experiences, or IoT solutions, the Qualcomm Ambassador Program gives you opportunities to learn, grow, and make an impact. Collaborate with fellow developers, create technical content, participate in events, and gain visibility for your work across the Qualcomm Developer ecosystem.

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