Lyceum Notebook Extension

Deploy and run Jupyter notebooks with GPU acceleration using Lyceum's infrastructure.

Features

One-click deployment of notebooks to Lyceum's GPU-enabled containers
Smart hardware recommendations based on your workload and deadline
Cost-optimized configuration selection with clear pricing and completion time estimates
Support for various GPU configurations (H100, A100, T4) and local hardware
Seamless authentication and workspace management
Easy-to-use interface integrated into VS Code's notebook experience

Install from VS Code Marketplace:
- Open VS Code
- Go to Extensions (Ctrl+Shift+X)
- Search for "Lyceum Notebook"
- Click Install

Or install from command line:

code --install-extension lyceum-technology.lyceum-deployment

Open a Jupyter notebook in VS Code
Click the "Deploy to Lyceum" button in the notebook toolbar
Enter your deadline in the format "Xd Yh" (e.g., "2d 4h" for 2 days and 4 hours)
Choose from recommended options:
- Accept the recommended configuration optimized for your needs
- Manually select from available options, each showing:
  - Total cost estimate
  - Expected completion time
  - Time/cost comparisons with other options
Deploy and start working in your optimized environment

Each configuration shows:

For issues, feature requests, or questions, please visit our GitHub repository.

MIT