truefoundry-notebooks

Name: truefoundry-notebooks
Availability: InStock
Author: TrueFoundry

Launch Jupyter Notebooks on TrueFoundry with GPU support and persistent storage via UI, CLI, or REST API.

1|Updated Mar 27, 2026

Search Tags:#deployment #workspace #gpu #jupyter #notebook #persistent-storage

Ready to run

npx skills add https://github.com/truefoundry/tfy-deploy-skills --skill truefoundry-notebooks

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: truefoundry-notebooks
Source: https://github.com/truefoundry/tfy-deploy-skills/tree/main/skills/notebooks
Command: npx skills add https://github.com/truefoundry/tfy-deploy-skills --skill truefoundry-notebooks

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires curl, tfy, python, pip.

What problem does it solve?

Eases launching Jupyter notebooks on TrueFoundry infrastructure with GPU support, persistent storage, auto-shutdown, and VS Code integration for seamless ML development.

Core Features & Use Cases

GPU-enabled notebook provisioning with optional CUDA images for ML workloads.
Persistent storage for /home/jovyan and user environments across restarts.
Auto-shutdown and health verification to optimize costs and reliability.
Use cases include exploratory data analysis, model prototyping, and collaborative notebook work within a dedicated workspace.

Quick Start

Open the TrueFoundry dashboard and deploy a notebook with your preferred resources.

Frequently Asked Questions about truefoundry-notebooks

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I launch a GPU-enabled Jupyter notebook for ML workloads?▼

You launch a GPU-enabled Jupyter notebook by selecting optional CUDA images and specifying required resources on your infrastructure platform. This provides persistent storage for environments and seamless ML development capabilities.

Can I keep my Jupyter notebook environment and files persistent across restarts?▼

Jupyter notebook persistent storage keeps your /home/jovyan directory and user environments intact across restarts. This ensures your exploratory data analysis and model prototyping work remains saved when sessions auto-shutdown.

Do I need specific environment variables configured to deploy a notebook workspace?▼

Deploying a notebook workspace requires configuring TFY_BASE_URL and TFY_API_KEY environment variables. You also need a valid workspace FQN to route operations through correct image variants and resource allocations.

Does Jupyter notebook deployment support VS Code integration and auto-shutdown?▼

Jupyter notebook deployment supports both VS Code integration and auto-shutdown. Auto-shutdown optimizes infrastructure costs by terminating idle sessions, while health verification maintains reliability.

What is the best way to deploy a notebook via CLI or REST API instead of the UI?▼

To deploy a notebook without the UI, use CLI commands or REST API fallback operations after validating your environment variables and workspace FQN. This routes operations through correct image variants and resource allocations.