Welcome to the HP AI Studio & NVIDIA Developer Challenge!
We’re thrilled you’re joining us to build innovative, open-source AI solutions that could transform industries. Before registering, please review the hardware requirements below to ensure you have the necessary setup for a smooth and successful hackathon experience.
Why HP AI Studio for Local AI Development?
HP AI Studio is a secure, collaborative workspace with containerization for local development, empowering teams to quickly get started with pre-configured workspaces. Co-engineered with NVIDIA and integrated with NVIDIA NGC libraries, HP AI Studio provides seamless on-prem access to optimized AI tools, ensuring maximum performance, security, and flexibility for local AI workflows.
What to Expect
We’re excited for you to explore HP AI Studio, an evolving platform designed to power local AI development. This competition is open to U.S. participants only and limited to 1,000 accounts.
What to Build
Develop an AI-powered web app using HP AI Studio tools. Explore example AI Studio projects on GitHub for inspiration and sample code on registering models with MLflow.
Important Note
apt-get packages can be installed via the terminal within a workspace (e.g., sudo apt-get install libjpeg-dev libpng-dev libtiff-dev for OpenCV support). However, these will not persist in this version of AI Studio.
Getting Started
Get Access: After registration, check your email for HP AI Studio access credentials. If you experience any access issues, refer to the support email provided in your entitlement email. Need help? Ping the HP team in Discord for tips and questions about the hackathon.
Start Building
Follow our 45-minute tutorial to create your first project. Check the resource library on GitHub for sample projects and product overviews to get up to speed quickly.
Development Best Practices
Use AI Studio Tools: Leverage the full suite of HP AI Studio tools and resources for streamlined AI development. Limit changes to pip libraries, as Linux package updates within a running container will not persist.
Model Management
Use MLflow in AI Studio to register models for local deployment, organize artifacts, and set hooks to track performance via the monitor tab.
Deployment
Deploy models to Swagger through AI Studio for standardized API access.
Application Development
Build an industry-specific AI web app that tackles real-world challenges. Create a ‘demo’ folder in MLflow to generate and store artifacts. Web files in the demo folder will automatically deploy in Swagger. Alternatively, create the web app outside of AI Studio, locally host the web app server, and point your web app to the Swagger endpoint.
Deployment Options
Publish your web app for local inference.
WHAT TO SUBMIT
Head over the What to Submit tab for specifics.
FAQs
Q: What is the deadline for submission?
A: The deadline for submission is [insert deadline].
Q: How do I install the required software?
A: You can install the required software by following the instructions on the HP AI Studio website.
Q: What are the system requirements for this competition?
A: The system requirements for this competition are as follows: [insert system requirements].
Q: Can I use my own hardware for this competition?
A: Yes, you can use your own hardware for this competition. However, please ensure that it meets the system requirements.
Q: How will my submission be judged?
A: Your submission will be judged based on the following criteria: [insert judging criteria].
Q: What is the prize for this competition?
A: The prize for this competition is [insert prize].
