Transform your Intel® hardware into a powerful AI and edge computing platform in minutes, not hours.
Whether you're an ODM/OEM developer, AI/ML engineer, university student, or hardware enthusiast, this repository provides everything you need to unlock the full potential of Intel® latest processors and GPUs.
This repository provides simplified developer kit reference setup scripts for various Intel® platforms and GPUs.
⚡ Quick Start: Get running in 5 minutes with our one-line installer
🚧 Note: The main branch contains the latest development version of the project. It may include experimental features, work in progress, or unstable code.
| Your Background | What You'll Get | Start Here |
|---|---|---|
| 🏭 ODM/OEM Developer | Production-ready platform setup with validated hardware configurations | Hardware Setup Guide |
| 🤖 AI/ML Developer | Ready-to-use AI workloads: LLMs, computer vision, speech processing | AI Use Cases |
| 🎓 Student/Researcher | Learning-oriented tutorials with step-by-step explanations | Learning Path |
| 🔧 Hardware Enthusiast | Experiment with cutting-edge Intel* hardware and software | Quick Start |
| 🏆 ESQ Users | System validation and certification for hardware qualification | ESQ Overview |
Just bought an Intel developer kit? Get up and running immediately:
# One command to rule them all
sudo bash -c "$(wget -qLO - https://raw.githubusercontent.com/intel/edge-developer-kit-reference-scripts/refs/heads/main/main_installer.sh)"First time? → Follow our detailed setup guide for a guided experience.
- Explore all use cases from our gallery
- Discover more ingredients in Open Edge Platform Software Catalog and Open Edge Platform GitHub
- Join the community on GitHub Discussions
- Share your projects and help others learn!
- 🎯 Who Is This For?
- 🚀 5-Minute Quick Start
- 💻 Validated Hardware & Configurations
- 🤖 AI & ML Use Cases
- ❓ Need Help?
⚠️ Important Notes
| Product Collection | Code Name | Support | Validated Hardware |
|---|---|---|---|
| Intel® Arc™ Pro B-Series Graphics | Products formerly Battlemage | ✅ Supported | Intel Arc Pro B60 Creator 24GB |
| Intel® Arc™ B-Series Graphics | Products formerly Battlemage | ✅ Supported | |
| Intel® Arc™ A-Series Graphics | Products formerly Alchemist | ✅ Supported | |
| Intel® Core™ Ultra Processors (Series 2) | Products formerly Arrow Lake | ✅ Supported | Innodisk Intel® Core™ Ultra Series 2 Reference Kit IEI TANK-XM813 AAEON UP Xtreme ARL ASRock Industrial NUC BOX-255H |
| Intel® Core™ Ultra processors (Series 1) | Products formerly Meteor Lake | ✅ Supported | Seavo* PIR-1014A AIoT Developer Kit AAEON* UP Xtreme i14 ASRock Industrial* NUC BOX-155H Asus* NUC 14 Pro |
| Intel® Core™ processors (Series 2) | Products formerly Bartlett Lake | ✅ Supported | ASRock Industrial* iEPF-100000S Series |
| Intel® 14th Gen Core™ processors | Products formerly Raptor Lake | ✅ Supported | ASRock Industrial* iEPF-9030S-EW4 |
| Intel® Core™ Processor N-series | Products formerly Twin Lake | ✅ Supported | AAEON RS-UPN-ADLN355-A10-0864 |
The following table lists the validated hardware combinations using Developer Kit Reference Scripts.
| CPU | GPU Configuration | Support |
|---|---|---|
| Arrow Lake (ARL) | Arc B60 (dGPU) | ✅ Supported |
| Arrow Lake (ARL) | Arc B580 (dGPU) | ✅ Supported |
| Arrow Lake (ARL) | Arc A770 (dGPU) | ✅ Supported |
| Bartlett Lake (BTL) | Arc B60 (dGPU) | ✅ Supported |
| Bartlett Lake (BTL) | 2 x Arc B60 (dGPU) | ✅ Supported |
| Raptor Lake (RPL) | Arc B60 (dGPU) | ✅ Supported |
- Installation Issues? → Troubleshooting Guide
- Common Questions? → FAQ
- Community Support? → GitHub* Discussions
| Issue Type | Where to Go |
|---|---|
| Bug Reports | GitHub* Issues |
| Feature Requests | GitHub* Discussions |
| General Questions | Community Forum |
This repository contains pre-production code and is intended for testing and evaluation purposes only. The code and features provided here are in development and may be incomplete, unstable, or subject to change without notice. Use this repository at your own risk.
The reference scripts provided in this repository have been validated and tested on the hardware listed in the documentation. While we strive to ensure compatibility and performance, these scripts may not function as expected on other hardware configurations. Users may encounter issues or unexpected behavior when running the scripts on untested hardware. If you encounter any issues or have suggestions for improvements, we welcome you to open an issue.
- GStreamer:* LGPL licensed - you're responsible for additional licenses if needed → Learn more
- Intel Components:* Check individual component licenses in installation logs
We welcome contributions! Check our Contributing Guide to get started.
🎉 Ready to start building amazing AI applications with Intel hardware? Let's go!* → Choose your first project