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Overview

This is an introductory Get Started guide that will provide users with a gentle introduction users to the capabilities of Rafay's GPU PaaS when used by an organization. This guide can be broken down into the steps described in the image below.

Sequence of Steps

1. GPU powered Infrastructure

In this step, as an Infrastructure administrator, we will provision a Kubernetes cluster with GPUs attached to it. We will ensure that the cluster is configured with critical software add-ons to ensure it is ready for use in subsequent steps.

2. SKU Creation

In this step, as a PaaS Admin in the PaaS Studio portal, you will configure and publish Compute and Service Profiles. These will be immediately made available as self service consumption SKUs for end users that have access to the Developer Hub portal.

3. Invite End Users

In this step, as an Org Admin for your Rafay Org, you will associate end users with the a role to access the Developer Hub.

Once the end user logs into the Developer Hub, they have access to the self service portal and can request for a GPU enabled compute instance and deploy a Jupyter notebook on the newly launched compute instance.