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notebooks

Deploy and manage Jupyter notebooks on TrueFoundry infrastructure with CPU or GPU configurations.

13|Updated Feb 13, 2026
Search Tags:#development environment#cloud#gpu#jupyter#ml#notebook
One-click install
npx skills add https://github.com/truefoundry/tfy-agent-skills --skill notebooks
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: notebooks
Source: https://github.com/truefoundry/tfy-agent-skills/tree/main/skills/notebooks
Command: npx skills add https://github.com/truefoundry/tfy-agent-skills --skill notebooks

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill allows you to easily launch and manage Jupyter notebooks on TrueFoundry's infrastructure, providing a powerful, cloud-based environment for development and data exploration without the hassle of local setup.

Core Features & Use Cases

  • On-Demand Environments: Spin up Jupyter notebooks with just a few commands.
  • GPU Acceleration: Request GPU instances for demanding ML tasks and model training.
  • Persistent Storage: Your work is saved in your home directory, persisting across restarts.
  • Auto-Shutdown: Save costs by automatically shutting down idle notebooks.
  • Use Case: You need to explore a large dataset and train a machine learning model. You can launch a GPU-enabled notebook, load your data, run experiments, and shut it down when you're done, all managed by this Skill.

Quick Start

Launch a new Jupyter notebook named 'my-ml-notebook' with GPU support and 50GB of storage.

Frequently Asked Questions about notebooks

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

FAQPage Schema
How do I launch a cloud-hosted Jupyter notebook with GPU support?▼

You can launch a cloud-hosted Jupyter notebook with GPU support by deploying it on TrueFoundry infrastructure using the CLI or REST API, specifying your desired GPU configuration and storage limits during setup.

Can I get persistent storage for my ML notebooks in the cloud?▼

Yes, persistent storage is supported for ML notebooks. Your work is saved in the home directory of the cloud environment, ensuring data and files persist across notebook restarts.

What is the best way to automatically shut down idle Jupyter notebooks?▼

To automatically shut down idle Jupyter notebooks and save costs, you can enable the auto-shutdown feature provided by the TrueFoundry notebook deployment configuration.

Do I need the TrueFoundry CLI to deploy and manage Jupyter notebooks?▼

Yes, you need either the TrueFoundry CLI or REST API access to deploy, configure, and manage your cloud-hosted Jupyter notebooks effectively.

Can I use cloud GPUs for data exploration and model training without local setup?▼

Yes, you can request on-demand GPU instances for demanding ML tasks and model training. This provides a cloud-based data exploration environment without the hassle of local setup.

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