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Follow this guide to learn how to create an account, deploy your first GPU Bnode, and use it to execute code remotely.

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Step 1: Create an account

Start by creating a Brightnode 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 Bnode

Now that you’ve created your account, you’re ready to deploy your first Bnode:
  1. Open the Bnodes page in the web interface.
  2. Click the Deploy button.
  3. Select A40 from the list of graphics cards.
  4. In the field under Bnode Name, enter the name quickstart-bnode.
  5. Keep all other fields (Bnode Template, GPU Count, and Instance Pricing) on their default settings.
  6. Click Deploy On-Demand to deploy and start your Bnode. You’ll be redirected back to the Bnodes 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: Explore the Bnode detail pane

On the Bnodes page, click the Bnode you just created to open the Bnode detail pane. The pane opens onto the Connect tab, where you’ll find options for connecting to your Bnode so you can execute code on your GPU (after it’s done initializing). Take a minute to explore the other tabs:
  • Details: Information about your Bnode, such as hardware specs, pricing, and storage.
  • Telemetry: Realtime utilization metrics for your Bnode’s CPU, memory, and storage.
  • Logs: Logs streamed from your container (including stdout from any applications inside) and the Bnode management system.
  • Template Readme: Details about the template your Bnode is running. Your Bnode is configured with the latest official Brightnode PyTorch template.

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Step 4: Execute code on your Bnode with JupyterLab

  1. Go back to the Connect tab, and under HTTP Services, click Jupyter Lab to open a JupyterLab workspace on your Bnode.
  2. Under Notebook, select Python 3 (ipykernel).
  3. Type print("Hello, world!") in the first line of the notebook.
  4. Click the play button to run your code.
And that’s it—congrats! You just ran your first line of code on Brightnode.

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Step 5: Clean up

To avoid incurring unnecessary charges, follow these steps to clean up your Bnode resources:
  1. Return to the Bnodes page and click your running Bnode.
  2. Click the Stop button (pause icon) to stop your Bnode.
  3. Click Stop Bnode in the modal that opens to confirm.
You’ll still be charged a small amount for storage on stopped Bnodes ($0.20 per GB per month). If you don’t need to retain any data on your Bnode, you should terminate it completely. To terminate your Bnode:
  1. Click the Terminate button (trash icon).
  2. Click Terminate Bnode to confirm.
Terminating a Bnode 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 Bnode storage overview.

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Next steps

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

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