Class DeploymentResourcesType (1.50.0)

Version 1.50.0

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DeploymentResourcesType(value)

Identifies a type of Model's prediction resources.

Enum values:

DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED (0):
    Should not be used.
DEDICATED_RESOURCES (1):
    Resources that are dedicated to the
    <xref uid="google.cloud.aiplatform.v1.DeployedModel">DeployedModel</xref>,
    and that need a higher degree of manual configuration.
AUTOMATIC_RESOURCES (2):
    Resources that to large degree are decided by
    Vertex AI, and require only a modest additional
    configuration.
SHARED_RESOURCES (3):
    Resources that can be shared by multiple
    <xref uid="google.cloud.aiplatform.v1.DeployedModel">DeployedModels</xref>.
    A pre-configured
    <xref uid="google.cloud.aiplatform.v1.DeploymentResourcePool">DeploymentResourcePool</xref>
    is required.

Methods

DeploymentResourcesType

DeploymentResourcesType(value)

Identifies a type of Model's prediction resources.

Enum values:

DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED (0):
    Should not be used.
DEDICATED_RESOURCES (1):
    Resources that are dedicated to the
    <xref uid="google.cloud.aiplatform.v1.DeployedModel">DeployedModel</xref>,
    and that need a higher degree of manual configuration.
AUTOMATIC_RESOURCES (2):
    Resources that to large degree are decided by
    Vertex AI, and require only a modest additional
    configuration.
SHARED_RESOURCES (3):
    Resources that can be shared by multiple
    <xref uid="google.cloud.aiplatform.v1.DeployedModel">DeployedModels</xref>.
    A pre-configured
    <xref uid="google.cloud.aiplatform.v1.DeploymentResourcePool">DeploymentResourcePool</xref>
    is required.