How to use a Jupyter Notebook on Thunder Compute

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Prerequisites

• VSCode installed
• The Thunder Compute extension installed in VSCode or Cursor
• The Jupyter Notebook extension installed in VSCode or Cursor

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Steps

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Connect to a Thunder Compute instance in VSCode

Follow the instructions in our Using Thunder Compute with VSCode to set and connect to a remote instance in VSCode.

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Install the Jupyter extension in VSCode

Navigate to the extensions store and install the Jupyter extension within your cloud instance

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Verify GPU availability in the notebook

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

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

If the setup is correct, the output should be:

true

That’s it! You are connected to a notebook running in a Thunder Compute instance.