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 reference documentation for the `Model.Types.DeploymentResourcesType` enum within the Google Cloud AI Platform v1 API."],["The content lists available versions of the API, ranging from the latest 3.22.0 down to 1.0.0, with links to each version's specific documentation for `DeploymentResourcesType`."],["The `DeploymentResourcesType` enum identifies the type of prediction resources used by a Model, with four possible values: `AutomaticResources`, `DedicatedResources`, `SharedResources`, and `Unspecified`."],["The documentation details the specific meaning of each field within `DeploymentResourcesType`, such as `AutomaticResources` being decided by Vertex AI and `SharedResources` needing a pre-configured `DeploymentResourcePool`."]]],[]]
