Welcome Global Innovators! 

Gen AI and Retrieval-Augmented Generation (RAG) is here!  This is your chance to explore the formidable combination of Intel®  Xeon® Processors with AMX (Advanced Matrix Extensions), Intel OpenVINO™, and Red Hat OpenShift AI. Whether you're a seasoned developer or a newcomer, this hackathon is your opportunity to learn, collaborate with fellow developers, and create exciting new intelligent applications!

Why Join?
  • Learn about Gen AI and Retrieval-Augmented Generation (RAG)
  • Get the opportunity to experiment with Intel® Xeon® Processors with AMX, Intel OpenVINO™, and Red Hat OpenShift AI
  • Compete for some of the $15,000 in prizes and exclusive use of Intel® Gaudi® AI Accelerators✨

Get Started

 Start Learning: Dive into resources and tutorials related to the hackathon themes. Explore new technologies, frameworks, and tools that can help you during the event. Read more here.

 Join the Community: Connect with fellow participants in the Devpost Community Discord.

Don't miss this chance to innovate, learn, and make an impact!

Requirements

We're looking for creative Generative AI or RAG (Retrieval Augmented Generation) applications that harness the power of Intel's technologies.

Your playground is the hackathon-specific Red Hat OpenShift AI environment on AWS, powered by Intel Xeon Scalable Processors with Built-In Accelerators. Feel free to start with the Intel OpenVINO examples provided on the Resources, but remember; your originality is what will make your project stand out! 

 

What to Build

Create (or update) a Gen AI or an AI Retrieval Augmented Generation (RAG) application that makes use of Red Hat OpenShift AI environment on AWS with Intel’s Xeon Processor AMX features.

To showcase your project, here's what you need to submit: 

  • A compelling text description that encapsulates your project's features and functionality. 
  • At least one test script to demonstrate your project in action. 
  • A screenshot capturing the results of your test script and showcasing the use of the Intel OpenVINO model server and the Intel Xeon Processor AMX feature. 
  • A screenshot showcasing the underlying platform supporting the Intel Xeon Processor AMX feature.
  • A link to your open source code repository for the judges to review and test your masterpiece. The code repository must be licensed under the Apache V2 license.
  • A video (around 3 minutes) that walks us through your submission. Upload it to YouTube, Vimeo, or Facebook Video, and ensure it's public for all to see.

Hackathon Sponsors

Prizes

$15,000 in prizes
Grand Prize
1 winner

• $5,000 USD
• Opportunity to work with Intel Gaudi AI Accelerator✨ with support from the Intel team
• Virtual meeting with Red Hat / Intel Product Teams
• Social Promo

Second Place
1 winner

• $3,000 USD
• Opportunity to work with Intel Gaudi AI Accelerator✨ with support from the Intel team
• Virtual meeting with Red Hat / Intel Product Teams
• Social Promo

Third Place
1 winner

• $2,000 USD
• Opportunity to work with Intel Gaudi AI Accelerator✨ with support from the Intel team
• Virtual meeting with Red Hat / Intel Product Teams
• Social Promo

RAG Recognition Prizes
2 winners

• $1,000 USD
• Social Promo

Partner Prizes
2 winners

• $1,500 USD
• Assistance with a Go to Market Strategy
• Creation of App Collateral
• Social Promo

Organizations, or an employee of an Organization, that are members of the Intel Partner Alliance (IPA) and Red Hat Partner Program (“Partner Entrants”) are only Eligible for the Partner Prize.

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Mayur Shetty

Mayur Shetty
Principal Ecosystem Solution Architect, Red Hat

Eric Adams

Eric Adams
Cloud Software Engineer, Intel

Kelli Belcher

Kelli Belcher
AI Software Solutions Engineer, Intel

Preston Davis

Preston Davis
Principal Software Engineer, Red Hat

Puneet Sethi

Puneet Sethi
Cloud Software Development Engineer, Intel

Judging Criteria

  • Technological Implementation
    Does the project demonstrate quality software development? Does the project thoroughly leverage Intel & Red Hat’s AI technologies?
  • Design
    Is the user experience and design of the project well thought out?
  • Potential Impact
    How big of an impact could this project have on its ideal end-users, and how flexible is it to be used for broader use cases?
  • Quality of the Use Case
    How creative and unique is the project? Does the concept exist already? If so, how much does the project improve on it?

Questions? Email the hackathon manager

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Hackathon sponsors

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