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.v1beta1.DeployedModel], and that
need a higher degree of manual configuration.
SharedResources
Resources that can be shared by multiple
[DeployedModels][google.cloud.aiplatform.v1beta1.DeployedModel]. A
pre-configured
[DeploymentResourcePool][google.cloud.aiplatform.v1beta1.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 2025-04-09 UTC."],[[["The content details the `Model.Types.DeploymentResourcesType` enum within the Google Cloud AI Platform v1beta1 API."],["This enum defines the different types of prediction resources available for a Model, such as `AutomaticResources`, `DedicatedResources`, and `SharedResources`."],["`AutomaticResources` are mostly configured by Vertex AI, `DedicatedResources` require more manual setup for a specific DeployedModel, and `SharedResources` can be used across multiple DeployedModels."],["The `Unspecified` field within the enum is advised not to be used in operations."]]],[]]
