Execute Python code on powerful cloud infrastructure directly from VS Code or Cursor. Get instant access to GPU-accelerated computing without managing servers.
Features
Cloud Execution - Run Python code and Jupyter notebooks on high-performance cloud servers
GPU Acceleration - Access NVIDIA GPUs for machine learning and data processing tasks
Smart Dependencies - Automatic detection and installation of requirements.txt
Real-time Output - Stream execution results directly in your editor
Persistent Storage - Upload and manage files in Lyceum Cloud storage (S3-compatible)
Execution History - Track and review past executions
Secure Authentication - OAuth-based authentication with automatic token refresh
Installation
VS Code
Search for "Lyceum Cloud" in the Extensions marketplace
Click Install
Cursor
Open Extensions panel
Search for "Lyceum Cloud"
Click Install
Or install directly: ext install LyceumTechnology.lyceum
Getting Started
1. Authentication
Click the cloud icon in the status bar
Complete the browser authentication flow
Your token will be securely stored and auto-refreshed
2. Execute Code
Python files:
Open any .py file
Click the cloud icon (☁) in the editor toolbar
Or use keyboard shortcut: Cmd+Shift+E (Mac) / Ctrl+Shift+E (Windows/Linux)
Jupyter notebooks:
Open any .ipynb file
Click the cloud icon (☁) next to each cell
Execute individual cells or entire notebooks
3. Manage Files
Upload files: Right-click any file → "Upload to Lyceum Cloud"
View cloud files: Use the "Lyceum Cloud Files" panel in Explorer
