Jupyter Notebooks - Thunder Compute

Prerequisites for a Jupyter Notebook with Cloud GPU

A supported editor installed: VSCode, Cursor, or Devin Desktop
The Thunder extension installed in that editor
The Jupyter extension installed in that editor

Steps to Launch Your Notebook

1. Connect to a Thunder Compute cloud GPU in VSCode

Follow the instructions in our quickstart guide to set and connect to a remote instance in VSCode.

2. Install the Jupyter extension in your cloud workspace

Open the Extensions panel and install the Jupyter extension inside your Thunder instance.

3. Verify GPU availability inside the notebook

Create a Jupyter Notebook, which is now connected to a Thunder instance with GPU capabilities. To confirm that the GPU is accessible, run the following in a notebook cell:

import torch
print(torch.cuda.is_available())

If everything is set up correctly, the output should be:

True

You now have a Jupyter Notebook running on a Thunder cloud GPU, a fast and low-cost alternative to Colab for indie developers, researchers, and data scientists.