Run Windows 11 IoT Natively on Qualcomm Dragonwing
Design intelligent, power-efficient edge systems using Windows 11 IoT Enterprise on ARM, powered by Qualcomm Dragonwing and delivered by Avnet.
Build full Windows solutions without the traditional power and thermal constraints.
- ~7W total system power
- 8 simultaneous video streams
- 5 to 8 percent CPU utilization under load
- Native ARM64. No emulation required
One integrated ecosystem. Built to scale.
WHY WINDOWS ON ARM?
The OS you know. The efficiency you need.
Full Windows capability. Without the power burden.
Modern edge solutions require more than raw performance. They require efficiency, scalability, and reliability.
Windows on ARM delivers the performance of the Windows ecosystem with a dramatically lower power profile.
What this enables:
- Higher performance per watt
Run demanding edge workloads without increasing energy or thermal requirements - Real-time video and AI processing
Process 8 HD streams at approximately 7 watts, enabling fanless system designs - Integrated AI acceleration
Leverage dedicated NPU and VPU engines to offload AI and video workloads from the CPU
- Full Windows ecosystem compatibility
Support ARM64-native applications and existing Windows frameworks - Compact, fanless designs
Deploy in space-constrained or industrial environments - Long lifecycle support
Align with Windows IoT LTSC for long-term product deployments
The fastest path to Windows on ARM development
Accelerate your evaluation and development with a production-ready platform designed for Windows on ARM.
What you get: A fully integrated development kit that enables fast prototyping and validation.
Key specifications
- Qualcomm QCS6490 ARM-based SoC
- Snapdragon 7c+ Gen 3 CPU architecture
- Hexagon AI engine for inferencing
- Adreno GPU and video processing support
- LPDDR5 memory with high-speed storage options
- Multi-camera and high-resolution display support
- Industrial I/O and expansion capabilities
Why it matters
This is not just a development kit. It is a direct path from evaluation to production, supported by Avnet’s global integration and supply chain expertise.
What’s included:
- Vision AI carrier board and SMARC compute module
- Passive cooling solution for fanless operation
- High-resolution MIPI camera module
- Power supply and full cabling kit
- Mounting and mechanical hardware
- Quick start resources
P/N: SM2-SK-QCS6490-EP6-KIT001 BRDFTX
|
SoC |
Qualcomm QCS6490 |
|
CPU |
Snapdragon 7c+ Gen 3 (ARM Cortex-A78/A55) |
|
NPU |
Hexagon 770 HTP (Scalar + Vector + Tensor) |
|
GPU |
Adreno 643 + 1075 DPU + 633 VPU |
|
ISP |
Qualcomm Spectra 570, Triple ISP |
|
Memory |
LPDDR5 on SMARC module |
|
Storage |
UFS on-module + M.2 NVMe (Key-M) |
|
Form factor |
SMARC 2.1 module + Vision-AI carrier board |
|
Display out |
Mini DisplayPort (1080p / 2K / 4K) |
|
USB |
2× USB 3.1-A, 2× USB 2.0-A, 2× USB-C (PWR + EDL/ADB) |
|
Camera |
2× MIPI CSI-2 (carrier), 2× MIPI CSI-4 (SMARC) |
|
Networking |
RJ45 GbE + M.2 Key-E slot (Wi-Fi / BT) |
|
Wireless |
Optional WLAN Wi-Fi via M.2 module |
|
Expansion |
40-pin RPi-compatible header, CAN bus, SPI, I2C, UART, GPIO |
|
Audio |
3.5 mm jack, 2× PDM mic, I2S (DA7212 codec) |
|
Power input |
USB-C PD 12 V / 3 A (supply included) |
|
OS support |
Windows 11 IoT Enterprise · Linux BSP (QIRP 1.6) |
REFERENCE DEMO
Proven performance. Real-world workloads.
See how Windows on ARM performs in a real-world edge scenario.
8 camera streams. ~7 watts. Windows 11 IoT.
The open-source demo runs 8 simultaneous HD video streams in Microsoft Edge while a background PowerShell script tracks real-time CPU, GPU, memory, and temperature — all natively on Windows 11 IoT Enterprise with no emulation.
See it, then build it.
The Windows IoT on ARM demo opens a custom HTML file in Microsoft Edge and decodes 8 simultaneous HD streams using the QCS6490’s hardware VPU — leaving the CPU nearly idle at 5–8%. A PowerShell script streams real-time performance metrics to the page. Total system draw: ~7 W.
Access is gated. The GitHub repo and Windows 11 IoT Enterprise image are shared with qualified developers through Avnet. Reach out and we’ll get you set up.
Multi-stream video on WindowsLive
v1 Live Now
8 simultaneous H.264 streams decoded via hardware VPU. CPU at 5–8%, total system power ~7 W. Real-time metrics via PowerShell and Microsoft Edge.
NPU inferencing on Windows
v2 Coming Soon
Integrates the Hexagon NPU to run on-device AI models (object detection, classification, pose estimation) alongside live video — offloading inference entirely from the CPU. Unlocks Edge AI use cases for Windows on ARM.
Advanced Edge AI Scenarios
v3 Roadmap
Multi-model concurrent inferencing, local copilot scenarios, and autonomous operation use cases as the Windows on ARM ecosystem matures.
From development to deployment. Without the complexity.
Avnet delivers more than hardware.
End-to-end solution capabilities:
- Hardware sourcing and system integration
- Embedded software development and optimization
- Windows on ARM enablement
- Global supply chain and lifecycle services
One partner. One solution
Let Avnet manage the integration, deployment, and scaling, so your team can focus on innovation.
Ready to build on ARM? Whether you are evaluating Windows on ARM or scaling production: Avnet helps you move faster, reduce risk, and deliver globally.
Frequently Asked Questions
Q: What is Windows on ARM?
A: Windows on ARM allows Windows 11 IoT Enterprise to run natively on ARM processors, delivering improved efficiency and performance per watt.
Q: Can I run existing Windows applications?
A: Yes. ARM64-native apps are supported, along with compatibility options for broader Windows workloads.
Q: What industries benefit from this solution?
A: Edge AI, industrial automation, healthcare, retail, and smart infrastructure deployments.
Q: How do I get started?
A: Contact Avnet to request a development kit and access to the demo environment.
Avnet Integrated Solutions provides global systems integration, supply chain, and services Decades of experience connecting developers with the right components, design support, and supply chain expertise bringing Windows on ARM products to market faster.
Tria provides embedded hardware and development platforms. Designers of the Vision AI-KIT 6490. Hands-on ARM hardware expertise optimizing your device for performance, power, and reliability from day one.
Witekio provides embedded software, OS integration, and application optimization. Proven track record porting and optimizing Windows, Linux, and Android applications for ARM - seamless compatibility and peak application performance.
