Generative AI Hackathon with IBM Granite

Build an AI-driven solution powered by IBM Granite models to help businesses scale faster and operate smarter.

Drive efficiency, automation, and innovation by streamlining workflows and integrating seamless processes.

⏳ You have 48 hours to complete the challenge and compete for prizes.

🚀 Learn and build AI solutions with IBM Granite.

💡 Create impactful solutions that drive smarter business operations.

⭐ Gain expert guidance throughout the hackathon.

🤝 Collaborate or work solo to bring your ideas to life.

💰 $10,000 prize pool for the winners!

🧑🏻‍💻 Sign up before the Kick-Off Stream and start shaping the future with IBM Granite!

Join our Hackathon Discord channel to stay updated with the latest announcements, receive support, and collaborate with mentors and the community.

Join Discord Channel

About IBM

IBM, a pioneer in the tech industry, has been at the forefront of innovation for decades. Their contributions span across various fields, including AI, cloud computing, and quantum computing. IBM's cutting-edge technology and research continue to drive advancements in multiple sectors:

• AI and Machine Learning: Leading the charge in AI development with powerful tools and models.

• Cloud Solutions: Providing scalable and flexible cloud services.

• Quantum Computing: Pushing the boundaries of computing with quantum technology.

• Research and Development: Continuously advancing technology with extensive research and high-quality datasets.
• Open-Source Commitment: Promoting collaboration and innovation through open-source projects.

Leverage the Power of IBM Granite Models to Transform Business Operations

Your challenge is to design and develop an AI-driven solution utilizing IBM Granite models to help businesses achieve scalable growth and smarter operations. By combining advanced generative AI capabilities with innovative thinking, participants will streamline workflows, integrate seamless processes, and unlock new opportunities for efficiency and automation.

What’s Expected?

🔧 Harness IBM Granite Models: Use Granite’s capabilities to create AI solutions tailored for real-world business applications.

🚀 Focus on Efficiency: Develop tools that automate workflows, optimize operations, and improve productivity.

🌟 Innovate for Impact: Introduce groundbreaking ideas that revolutionize business processes across industries.

Take on the challenge, and let IBM Granite power your ideas to redefine how businesses operate. Whether you work solo or in a team, this is your chance to build impactful solutions and showcase your skills!

IBM Granite access and Usage Guidelines

Participants can use IBM Granite models to develop their innovative solutions by accessing them through the IBM Cloud watsonx.ai platform or through open-source platforms.

⏰ IBM Cloud watsonx.ai platform

To access IBM Granite models and use the SaaS runtime environment for model inference on IBM Cloud watsonx.ai, participants must request an IBM Cloud account during hackathon registration. A credit limit of $100 will be provided for usage on the platform and it should be enough for you to design and create a compelling submission for this challenge. Instructions to access and use the hackathon provisioned IBM Cloud accounts will be shared at the start of the hackathon. Email notifications will be sent at 25%, 50%, and 80%, and the account will reset once it reaches the 100% amount. Please plan to use the credits efficiently.

Note: If you do not request an IBM Cloud account during registration, you will only be able to access IBM Granite models through open-source platforms. IBM will be covering only the usage cost associated with the hackathon provisioned IBM Cloud account.

Open-source platforms

Participants can also access IBM Granite models through open-source platforms and run them locally on their machines.

Available options:

• Download Granite on Hugging Face

• Run locally with Ollama

System Requirements:

To run Granite models locally, it is recommended to use a machine with at least 32 GB RAM and a GPU processor. While running the models on a lower size RAM and CPU is possible, it may result in slower performance.

To learn more about the IBM Granite models, visit the IBM Granite or explore the official IBM Granite documentation.

Prizes

Winner

💰 Cash: $5,000
☁️ $500 IBM Cloud credits per team member

2nd Place

💰 Cash: $3,000
☁️ $300 IBM Cloud credits per team member

3rd Place

💰 Cash: $2,000
☁️ $300 IBM Cloud credits per team member

Please be aware that participation in lablab.ai hackathons is voluntary and subject to the specific rules and conditions outlined for each event. While we strive to provide a fair and rewarding experience for all participants, we cannot guarantee entry or success in securing prizes. All prizes and opportunities are subject to availability and participants must meet the established criteria to qualify. lablab.ai is not responsible nor held liable for any commitments or offers - including programs, giveaways, or prizes - made by third-party sponsors or partners of the hackathon. The availability and delivery of third-party prizes or benefits are solely at the discretion of the respective sponsors and are not guaranteed by lablab.ai. We reserve the right to make amendments, modifications, or cancellations to any part of the hackathon (including full cancellation of the event itself), including prizes and terms of participation, at our sole discretion. Whenever possible, we will endeavor to notify participants of significant changes within a reasonable timeframe. All submissions by participants must be original work, open source, and compliant with the MIT License unless specified otherwise. By participating, you agree to these terms, the overall event terms, and the lablab.ai general terms and are encouraged to review all event-related information carefully. Prize Distribution: lablab.ai and its partners reserve the right to distribute all prizes within a 90-day period following the end date of the hackathon. This period allows for the proper processing and verification needed to award prizes appropriately.

What to submit?

📋 Basic Information

• Project Title

• Short Description

• Long Description

• Technology & Category Tags

📸 Cover Image and Presentation

• Cover Image

• Video Presentation

• Slide Presentation

💻 App Hosting & Code Repository

• Public GitHub Repository

• Demo Solution Platform

• Solution URL

For further details and guidance, please visit Submission Guidelines

Judging Criteria

Application of Technology

How effectively Granite models are utilized to build a generative AI solution.

Presentation

The clarity and effectiveness of the project presentation.

Business Value

The potential impact and practical value of the solution.

Originality

Uniqueness and creativity in addressing the challenge.

Hackathon Details

Join lablab.ai hackathon and innovate using the latest models in the market. Discover all the relevant details below.

🗓️ Where and when

The start date of the hackathon is mentioned according to the date specified on the hackathon page, cover and schedule. The hackathon will take place on the lablab.ai platform and lablab.ai Discord server.

🦸🏼‍♂️ Who can join?

Check eligibility requirements when you sign up and fill out the application form.

😅 What about teams?

If you don't have a team, don't worry! You can connect with other participants from all over the world on our dashboard or Discord server. We also recommend checking out our Discord server to find teammates and bounce around ideas. You can join the server here.

🛠️ How to participate

The hackathon will take place online on lablab.ai platform and lablab.ai Discord Server. Please register for both in order to participate. To participate click the "Enroll" button at the bottom of the page and read our Hackathon Guidelines and Getting Started Guide.