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 2025-03-25 UTC."],[[["This document provides reference information for the `Model.Types.DeploymentResourcesType` enum within the Cloud AI Platform v1beta1 API, specifically in the `Google.Cloud.AIPlatform.V1Beta1` namespace."],["The `DeploymentResourcesType` enum identifies different types of prediction resources for a model, such as `AutomaticResources`, `DedicatedResources`, and `SharedResources`."],["`AutomaticResources` are largely determined by Vertex AI with minimal user configuration, while `DedicatedResources` require more manual setup and are exclusive to a deployed model."],["`SharedResources` are intended for multiple deployed models, and they require a pre-configured `DeploymentResourcePool`."],["The enum also defines `Unspecified` that should not be used."]]],[]]
