How to deploy a Jupyter Notebook?

Spheron allows you to deploy a compute instance pre-installed with Jupyter Notebook, all set up and ready to use on the Akash Network. To deploy a Jupyter Notebook:

1. Click "New Cluster" on the top right corner.
2. Choose "Compute" to use CPU-based instances for running containers.
3. Choose your desired Compute Type option under Compute Type.
4. Select Start from Marketplace App.
5. Pick Jupyter Notebook from the marketplace.
6. Select your preferred Region, if any. If you do not add a region, the container will be deployed in any region for Spot, or in the eu-east region for On Demand. Click here to know more.
7. Spheron will automatically select the recommended plan for the specific template. If you intend to move forward with the recommended plan, just Click "Deploy" to initiate deployment.
8. Select the instance plan that suits your needs. You can use the "Create Custom Plan" toggle to create custom plans for your CPU based instance.
9. Configure Storage (SSD) plan for your instance. Use the "Add Persistent Storage" toggle to add persistent storage for your instance.
10. You can add advanced configuration if required. Click here to know more.
11. Click "Deploy" to initiate deployment.

Deploy Your Own

Deploy your own Jupyter Notebook with Spheron:

(opens in a new tab)

Verify Installation

The Jupyter Notebook dashboard can be accessed only after the Compute Instance is provisioned. Thus, you need to wait for the installation to complete before you can start using it.

How to connect to Jupyter Notebook?

• Use the Connection URL provided by Spheron under Port Policy Info to access the Jupyter Notebook where there will be mnist-train.ipynb.

For more information, refer to the Jupyter Notebook docs (opens in a new tab).