Skip to main content

Resources

Everything you need to get started—tools, documentation, tutorials, and helpful links to support your project development.

Demos and Use Cases

Get inspired by real-world examples and live demos showcasing what’s possible with HP AI Studio. See how others are solving problems, building projects, and using AI in creative, impactful ways.

AffectLink: Real-Time Emotion Tracking for Telehealth with HP AI Studio

Building Trustworthy AI for Healthcare: Meet the Team Behind OpenMed

🏆 Winners of the HP & NVIDIA Developer Challenge

🚀 We’re excited to announce the winners of the HP & NVIDIA Developer Challenge!🏆 1st Place – AffectLinkAffectLink brings real-time multimodal emotion analysis to telehealth using HP AI Studio—helping clinicians uncover hidden cues and improve patient outcomes.🥈 2nd Place – Document Analysis ToolsetThis powerful toolkit uses custom-trained vision models to analyze PDFs, detect forgery, extract signatures, and track document version history.🥉 3rd Place – Mira3DMira3D transforms your surroundings into immersive 3D scenes using AI-powered Gaussian splatting.👏 Huge thanks to all participants and judges for your incredible contributions and creativity! Check out the full gallery of submissions here: https://hpaistudio.devpost.com/project-gallery 

HP & NVIDIA Developer Challenge on Devpost

Recording: Devpost Office Hours - May 21, 2025

This week’s HP & NVIDIA Developer Challenge Office Hours gave participants a chance to ask questions, troubleshoot roadblocks, and share ideas as we head into the final stretch of the hackathon. Here's a quick recap of what came up:🛠️ Project Collaboration & SetupOne common hurdle: collaborating with teammates in AI Studio. By default, accounts are set up with one seat—but that’s not a hard limit. The team confirmed that if you email aistudio.support@hp.com, they can manually add a collaborator so your teammate can join your project.Another hot topic was installation and compatibility. Participants asked about running AI Studio on services like RunPod and Linux-based systems. While not officially supported yet, the team encouraged folks to try installing the Linux version on Ubuntu 22.04 and share feedback. There’s even a helpful download and setup guide shared during the call.🚀 Running AI Studio Without a GPUA few users asked if AI Studio can run without an NVIDIA GPU. The short answer: yes, but with limitations. You can run some tasks—like image classification—on CPUs, but for LLMs or anything compute-heavy, it’s going to be slow. One user reported success using a CPU-only system with 64GB of RAM, but it’s not ideal.If you’re not sure whether your setup meets requirements, the AI Studio quickstart page includes full hardware and software specs.🧩 Third-Party Model IntegrationGreat news: You’re not limited to HP’s pre-built models. AI Studio supports third-party models via: Hugging Face libraries NVIDIA NGC Locally saved models through the interface The team did note that not every model in the catalog is guaranteed to run without issues. If you run into bugs, use the built-in support tab in AI Studio to submit a ticket with logs attached. This helps the product team track and improve compatibility.💡 Use Case Discussions & IdeasParticipants shared potential projects, including skin disease progression tracking and marketing optimization. One community member offered a deep dive into applying Bayesian learning for A/B testing in marketing funnels and using computer vision in healthcare scenarios like melanoma detection.Big takeaway: whatever your idea, clear documentation, model rationale, and well-defined metrics (like false positives/negatives) will help your submission stand out.📝 Quick Reminders There's still time to enter the sweepstakes to win an HP ZBook Fury G10—check Discord for Andrew’s post. The submission deadline for the hackathon is May 23, so make sure your project is on track! Thanks again to everyone who joined this week’s session. The team is always looking for feedback—if you’ve got an idea or feature request, send it via the support tab in AI Studio or post it in Discord.We’re getting close to the finish line—good luck and keep the questions coming!

AI Studio Installation Guide

The Installation Guide covers:What AI Studio is and the basic installation process for both Windows and Ubuntu The system requirements needed before starting the installation What to expect after installation and how to get startedHave questions? Drop a comment below!Learn more about AI Studio here and see how Z by HP powers Data Science & AI Solutions.

Recording: Devpost Office Hours - May 14, 2025

 Thanks to everyone who joined this week’s Devpost webinar and office hours. We had a great session led by Rick Jacobs, who demonstrated how to build and deploy a tourism recommendation system using BERT in AI Studio. The discussion covered key features of the platform, tips for working without a GPU, and clarified project submission requirements. Below is a summary of what was covered and shared during the session.Live Demo: Tourism Recommendation System in AI StudioPresented by Rick Jacobs, the session featured a walkthrough of building a semantic search recommendation system using a BERT model from the NVIDIA NGC catalog. The demo included: Generating embeddings from a corpus using a pre-trained BERT model Deploying the model with MLflow for tracking Serving the system locally with Swagger UI for testing Key Features of AI Studio HighlightedPreconfigured environments and containerized workflows Support for custom models and datasets Built-in deployment tools including MLflow GitHub integration for code management and collaboration Q&A Discussion Points You can bring your own models into AI Studio Mac support is not available yet but under consideration NVIDIA GPUs are not required, but performance may vary without one CPU-only optimization tips were shared (quantization, optimized runtimes) Computer vision projects are welcomed and judged equally Project submissions must include GitHub code, a demo video, and clear documentation Submissions must be able to run within AI Studio for evaluation Reminders Project templates and starter kits are available in AI Studio Weekly office hours are available for questions and feedback

Demo: Retail Use Case - FashionMNIST dataset, two CNNs in AI Studio

 This project compares two convolutional neural network architectures on the Fashion MNIST dataset:SimpleCNN: A basic CNN with 2 convolutional layers. DeeperCNN: A deeper CNN with 4 convolutional layers.The goal is to evaluate and visualize the marginal performance differences between these models using accuracy, loss, ROC curves, and probability-based visualizations. How to Run Create New AIS Project    Install dependencies: pip install -r requirements.txt3. Run the notebook: Open fashion_mnist_comparison.ipynb in Jupyter Lab and execute all cells sequentially. Resources:https://github.com/HPInc/aistudio-samples/tree/main/hackathon-sample-projects/hackathon-retail-MNIST

Recording: Devpost Office Hours - May 7, 2025

General Updates & Reminders Developers were encouraged to share 30-second project videos or screenshots in the Discord announcements channel. Use the AI Studio support tab to submit tickets and logs for technical help. Use the Send Feedback feature in AI Studio to share product improvement ideas. 🔍 Key Questions Answered Is it too late to join the hackathon? ➤ No. There's about one month left, and it's possible to submit a solid project within that time. Can I submit a localhost project? ➤ Yes, as long as the GitHub repo is public and includes setup instructions. Hosting on a live site is optional but earns bonus points. Are some industry categories prioritized? ➤ No. All industries are equal; stronger, more impactful use cases will be favored regardless of sector. Tech Stack Clarification: ➤ React, Node.js, C++, and other stacks are allowed. A React-based UI example was shared via GitHub. Troubleshooting TensorFlow/Nemo issues in AI Studio: ➤ Could be due to image or kernel selection. Logs should be submitted via AI Studio’s support tab for proper analysis. Will AI Studio support MacBooks or MCP servers? ➤ Currently, no support for MacBooks or MCP servers. VS Code integration is planned for the future. How many projects can I submit? ➤ Ideally one, to ensure focus and quality. Devpost may limit multiple submissions. Will there be solution reviews? ➤ No formal reviews, but plenty of examples and resources are available via GitHub and the community.

  • Find answers to your questions
  • Stay current with the latest discussions
  • Share your thoughts
Ask the community
Terms & ConditionsCookie settingsAccessibility statement