> For the complete documentation index, see [llms.txt](https://docs.tensordock.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tensordock.com/virtual-machines/running-jupyter-notebook.md).
# Running Jupyter Notebook
## Deploy your Cloud GPU
You can deploy a GPU on our [Marketplace](https://marketplace.tensordock.com/order_list) to your specific configurations based on cost, RAM, storage, and vCPUs.
Select any TensorML installation (any of the first row in the following image). Note the required amount of disk space required for the installation.
## Running Jupyter Notebook
First, SSH into your TensorDock instance. Refer to [this tutorial](https://docs.tensordock.com/marketplace/how-to-ssh-into-your-instance) if you do not know how.
Type the following command in your TensorDock instance to run Jupyter Notebook:
```bash
$ jupyter notebook --ip=0.0.0.0
```
Now, in your local computer, open your browser of choice and in the URL, enter `ip:[port forwarded into 8888]`
For example, in this instance, your URL should be `123.12.123.12:20297.`
You will notice that a Token is required to access Jupyter Notebook
In your TensorDock instance, you will find the token in the provided URLs (in this example, the third URL has `token=XXXXXXX` which is the token we want to paste into the Jupyter Notebook in our local browser.
Do not paste the URL that is instructed as it is the wrong IP address, as you should be using the URL from the previous step.
Enter the token into Jupyter Notebook. Success! You have logged into Jupyter Notebook on your TensorDock instance.