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 versioned documentation for the `DeploymentResourcesType` enum within the Google Cloud AI Platform V1 API, specifically detailing versions from 1.0.0 to 3.22.0."],["The latest version of the `DeploymentResourcesType` enum is 3.22.0."],["The `DeploymentResourcesType` enum is part of the `Google.Cloud.AIPlatform.V1` namespace, and is used to identify the type of prediction resources for a Model."],["The available `DeploymentResourcesType` fields are `AutomaticResources`, `DedicatedResources`, `SharedResources`, and `Unspecified`, each with a description of their usage."],["There is reference documentation and code samples for each of the aforementioned version, and it is all located in the `Google.Cloud.AIPlatform.V1.dll` assembly."]]],[]]
