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Get started with RunPod

Learn how to create an account, deploy your first Pod, and execute code on it using JupyterLab.

Step 1: Create an account​

Start by creating a RunPod account to access GPU Pods and Serverless compute resources:

  1. Sign up here.
  2. Verify your email address.
  3. Set up two-factor authentication (recommended for security).

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.
Image of the Pod graphics card selection menu
  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.
note

If you haven't set up payments yet, you'll be prompted to add a payment method and purchase credits for your account.

Step 3: Execute code on your Pod with JupyterLab​

After your Pod has finished starting up (this may take a minute or two), you can connect to it:

  1. On the Pods page, find the Pod you just created and click the Connect button. If it's greyed out, your Pod hasn't finished starting up yet.
Image of the Pod graphics card selection menu
  1. In the window that opens, under HTTP Services, click Jupyter Lab to open a JupyterLab workspace on your Pod.
Image of the Pod graphics card selection menu
  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.

Congratulations! You just ran your first line of code using RunPod.

Step 4: Clean up​

To avoid incurring unnecessary charges, make sure to:

  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.
warning

You will be charged for storage on stopped Pods. If you don't need to retain your Pod environment, you should terminate it completely.

To terminate your Pod:

  1. Click the Terminate button (trash icon).
  2. Confirm by clicking the Yes button.
danger

Terminating a Pod permanently deletes all data that isn't stored in a network volume. Be sure you've saved any data you want to access again.

Next steps​

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

Need help?​