VertexAIDedicatedResources class
A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration.
- Annotations
-
- @immutable
Constructors
-
VertexAIDedicatedResources.new({required List<
VertexAIAutoscalingMetricSpec> autoscalingMetricSpecs, required VertexAIMachineSpec machineSpec, required int minReplicaCount, required int maxReplicaCount}) -
A description of resources that are dedicated to a DeployedModel, and that
need a higher degree of manual configuration.
const
Properties
-
autoscalingMetricSpecs
→ List<
VertexAIAutoscalingMetricSpec> -
The metric specifications that overrides a resource utilization metric
(CPU utilization, accelerator's duty cycle, and so on) target value
(default to 60 if not set).
final
- hashCode → int
-
The hash code for this object.
no setteroverride
- machineSpec → VertexAIMachineSpec
-
The specification of a single machine used by the prediction.
final
- maxReplicaCount → int
-
The maximum number of replicas this DeployedModel may be deployed on when
the traffic against it increases.
final
- minReplicaCount → int
-
The minimum number of machine replicas this DeployedModel will be always
deployed on.
final
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toString(
) → String -
A string representation of this object.
override
Operators
-
operator ==(
covariant VertexAIDedicatedResources other) → bool -
The equality operator.
override