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][google.cloud.aiplatform.v1.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 documentation for the `Model.Types.DeploymentResourcesType` enum within the Google Cloud AI Platform v1 API."],["The content includes a comprehensive list of version-specific documentation links, ranging from version 3.22.0 (latest) down to version 1.0.0, for this specific type."],["The `DeploymentResourcesType` enum defines the different types of prediction resources for a model, including `AutomaticResources`, `DedicatedResources`, `SharedResources`, and `Unspecified`."],["Each deployment type offered has a specific desciption, which ranges from resources that require minimal user configuration, to resources that need more manual user configuration."]]],[]]
