Overview

Workload assets enable organizations to:

• Create and reuse preconfigured setup for code, data, storage and resources to be used by AI practitioners to simplify the process of submitting workloads
• Share the preconfigured setup with a wide audience of AI practitioners with similar needs

Workload asset types¶

There are four workload asset types used by the workload:

• Environments
  The container image, tools and connections for the workload
• Data sources
  The type of data, its origin and the target storage location such as PVCs or cloud storage buckets where datasets are stored
• Compute resources
  The compute specification, including GPU and CPU compute and memory
• Credentials
  The secrets to be used to access sensitive data, services, and applications such as docker registry or S3 buckets

Asset scope¶

When a workload asset is created, a scope is required. The scope defines who in the organization can view and/or use the asset.

Who can create an asset?¶

Any subject (user, application, or SSO group) with a role that has permissions to Create an asset, can do so within their scope.

Who can use an asset?¶

Assets are used when submitting workloads. Any subject (user, application or SSO group) with a role that has permissions to Create workloads, can also use assets.

Who can view an asset?¶

Any subject (user, application, or SSO group) with a role that has permission to View an asset, can do so within their scope.