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 page provides a comprehensive list of versioned documentation for the `DeploymentResourcesType` within the Google Cloud AI Platform v1 API, ranging from version 1.0.0 to the latest 3.22.0."],["The `DeploymentResourcesType` is an enum that identifies different types of resources for a Model's prediction, including `AutomaticResources`, `DedicatedResources`, `SharedResources`, and `Unspecified`."],["Each version listed links to the specific documentation for `DeploymentResourcesType` in that release, within the `Google.Cloud.AIPlatform.V1` namespace, allowing developers to browse or download the document for that specific version."],["The `Google.Cloud.AIPlatform.V1.dll` assembly contains all the versions of the documentation for `DeploymentResourcesType`."]]],[]]
