Class DedicatedResources (0.8.0)

Version 0.8.0

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DedicatedResources(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration.

Attributes

Name	Description
machine_spec	google.cloud.aiplatform_v1.types.MachineSpec Required. Immutable. The specification of a single machine used by the prediction.
min_replica_count	int Required. Immutable. The minimum number of machine replicas this DeployedModel will be always deployed on. If traffic against it increases, it may dynamically be deployed onto more replicas, and as traffic decreases, some of these extra replicas may be freed. Note: if machine_spec.accelerator_count is above 0, currently the model will be always deployed precisely on min_replica_count.
max_replica_count	int Immutable. The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, will use min_replica_count as the default value.

Inheritance

builtins.object > proto.message.Message > DedicatedResources