This week’s Office Hours was hosted by Sothan Thach and supported by Christian Charles and Suresh Ramanan from HP. It provided live technical help and guidance for participants in the DevPost Hackathon, particularly those using HP AI Studio.
Summary
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AI Studio Compatibility & Setup
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AI Studio currently supports Windows 10/11 and Ubuntu 22.04 LTS only.
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Running on Ubuntu 24.04 or VMs (VirtualBox, WSL, etc.) may cause issues; such configurations are not officially supported.
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Suresh gave a full walkthrough on how to clone and load projects from GitHub into AI Studio.
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He highlighted the value of the
vacation-recommendation
sample and showed how to run notebooks inside the correct AI Studio kernel.
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Hardware Requirements
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A GPU is needed; using platforms like Google Colab is not supported.
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Minimum specs: ~16GB RAM, compatible NVIDIA GPU.
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RAM needs may vary depending on model size (e.g., 1B parameters ≈ 1GB GPU memory).
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Getting Unstuck
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Participants who were still in the scoping phase were encouraged to explore existing demos and use cases on GitHub and the HP AI Creator Community.
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Troubleshooting Support
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Participants facing install or runtime issues were invited to email: aistudio.support@hp.com with logs.
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