Vertex AI v1beta1 API - Class DeployRequest.Types.DeployConfig (1.0.0-beta18)

public sealed class DeployRequest.Types.DeployConfig : IMessage<DeployRequest.Types.DeployConfig>, IEquatable<DeployRequest.Types.DeployConfig>, IDeepCloneable<DeployRequest.Types.DeployConfig>, IBufferMessage, IMessage

Reference documentation and code samples for the Vertex AI v1beta1 API class DeployRequest.Types.DeployConfig.

The deploy config to use for the deployment.

Inheritance

object > DeployRequest.Types.DeployConfig

Namespace

Google.Cloud.AIPlatform.V1Beta1

Assembly

Google.Cloud.AIPlatform.V1Beta1.dll

Constructors

DeployConfig()

public DeployConfig()

DeployConfig(DeployConfig)

public DeployConfig(DeployRequest.Types.DeployConfig other)
Parameter
Name Description
other DeployRequestTypesDeployConfig

Properties

DedicatedResources

public DedicatedResources DedicatedResources { get; set; }

Optional. The dedicated resources to use for the endpoint. If not set, the default resources will be used.

Property Value
Type Description
DedicatedResources

FastTryoutEnabled

public bool FastTryoutEnabled { get; set; }

Optional. If true, enable the QMT fast tryout feature for this model if possible.

Property Value
Type Description
bool