ML metadata artifact types

For the purpose of tracking resources and for functionality across the Google Cloud Pipeline Components, a set of standard Vertex ML Metadata artifact types are defined. These first-party artifacts types are defined by Google Cloud Pipeline Components.

Artifact type	Description
`google.VertexModel`	An artifact representing a Vertex AI `Model` resource
`google.VertexEndpoint`	An artifact representing a Vertex AI `Endpoint` resource
`google.VertexBatchPredictionJob`	An artifact representing a Vertex AI `BatchPredictionJob` resource
`google.VertexDataset`	An artifact representing a Vertex AI `Dataset` resource
`google.BQMLModel`	An artifact representing a BigQuery ML `Model` resource
`google.BQTable`	An artifact representing a BigQuery `Table` resource
`google.UnmanagedContainerModel`	An artifact representing an `UnmanagedContainerModel` resource

For more information about using ML metadata artifacts, see Consume or produce artifacts in your component .

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Last updated 2025-11-15 UTC.

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