If you’re new to Runpod, follow this guide to learn how to create an account, deploy your first GPU Pod, and use it to execute code remotely.

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Step 1: Create an account

Start by creating a Runpod account:
  1. Sign up here.
  2. Verify your email address.
  3. Set up two-factor authentication (recommended for security).
Planning to share compute resources with your team? You can convert your personal account to a team account later. See Manage accounts for details.

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Step 2: Deploy a Pod

Now that you’ve created your account, you’re ready to deploy your first Pod:
  1. Open the Pods page in the web interface.
  2. Click the Deploy button.
  3. Select RTX 2000 Ada from the list of graphics cards.
  1. In the Pod Name field, enter the name “test-pod”.
  2. Keep all other fields (Pod Template, Instance Pricing, and GPU Count) on their default settings.
  3. Click Deploy On-Demand to deploy and start your Pod. You’ll be redirected back to the Pods page after a few seconds.
If you haven’t set up payments yet, you’ll be prompted to add a payment method and purchase credits for your account.

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Step 3: Execute code on your Pod with JupyterLab

After your Pod finishes starting up (this can take a minute or two), you’re ready to connect:
  1. On the Pods page, expand the Pod you just created and click the Connect button. If it’s greyed out, your Pod hasn’t finished starting up yet.
  1. In the modal that opens, under HTTP Services, click Jupyter Lab to open a JupyterLab workspace on your Pod.
  1. Under Notebook, select Python 3 (ipykernel).
  2. Type print("Hello, world!") in the first line of the notebook.
  3. Click the play button to run your code.
And that’s it—congratulations! You just ran your first line of code on a GPU Pod.

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Step 4: Clean up

To avoid incurring unnecessary charges, follow these steps to clean up your Pod resources:
  1. Return to the Pods page.
  2. Click the Stop button (square icon) to stop your Pod.
  3. Confirm by clicking the Stop Pod button.
You’ll still be charged a small amount for storage on stopped Pods ($0.20 per GB per month). If you don’t need to retain any data on your Pod, you should terminate it completely. To terminate your Pod:
  1. Click the Terminate button (trash icon).
  2. Confirm by clicking the Yes button.
Terminating a Pod permanently deletes all data that isn’t stored in a network volume. Be sure that you’ve saved any data you might need to access again.To learn more about how storage works, see the Pod storage overview.

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Next steps

Now that you’ve learned the basics, you’re ready to:

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