Resources that to large degree are decided by Vertex AI, and require
only a modest additional configuration.
DedicatedResources
Resources that are dedicated to the [DeployedModel][google.cloud.aiplatform.v1.DeployedModel], and that need a
higher degree of manual configuration.
SharedResources
Resources that can be shared by multiple [DeployedModels][google.cloud.aiplatform.v1.DeployedModel].
A pre-configured [DeploymentResourcePool][] is required.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-10 UTC."],[[["This webpage provides a comprehensive list of versions for `DeploymentResourcesType` within the Google.Cloud.AIPlatform.V1 namespace, spanning from version 1.0.0 to the latest version 3.22.0."],["The `DeploymentResourcesType` is an enum that defines the different types of resources that a model's prediction can use, which is found within the `Google.Cloud.AIPlatform.V1` namespace."],["The available resource types for models are `AutomaticResources`, `DedicatedResources`, and `SharedResources`, with an additional `Unspecified` field that should not be used."],["Each version listed on the webpage includes a direct link to the respective version's documentation for `DeploymentResourcesType`."]]],[]]
