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"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20 UTC."],[[["\u003cp\u003eThis webpage provides reference documentation for the \u003ccode\u003eModel.Types.DeploymentResourcesType\u003c/code\u003e enum within the Google Cloud AI Platform v1 API.\u003c/p\u003e\n"],["\u003cp\u003eThe latest version of the documentation available is 3.22.0, with a history of versions dating back to 1.0.0.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eDeploymentResourcesType\u003c/code\u003e enum defines four distinct types of model prediction resources: \u003ccode\u003eAutomaticResources\u003c/code\u003e, \u003ccode\u003eDedicatedResources\u003c/code\u003e, \u003ccode\u003eSharedResources\u003c/code\u003e, and \u003ccode\u003eUnspecified\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eThe documentation covers the namespace \u003ccode\u003eGoogle.Cloud.AIPlatform.V1\u003c/code\u003e, and is found within the \u003ccode\u003eGoogle.Cloud.AIPlatform.V1.dll\u003c/code\u003e assembly.\u003c/p\u003e\n"],["\u003cp\u003eEach documented version has the same information for Model.Types.DeploymentResourcesType.\u003c/p\u003e\n"]]],[],null,[]]
