A description of resources that to large degree are decided by Vertex AI,
and require only a modest additional configuration.
Each Model supporting these resources documents its specific guidelines.
Protobuf type google.cloud.aiplatform.v1beta1.AutomaticResources
Immutable. The maximum number of replicas this DeployedModel may be deployed on when
the traffic against it increases. If the requested value is too large,
the deployment will error, but if deployment succeeds then the ability
to scale the model to that many replicas is guaranteed (barring service
outages). If traffic against the DeployedModel increases beyond what its
replicas at maximum may handle, a portion of the traffic will be dropped.
If this value is not provided, a no upper bound for scaling under heavy
traffic will be assume, though Vertex AI may be unable to scale beyond
certain replica number.
Immutable. The minimum number of replicas this DeployedModel will be always deployed
on. If traffic against it increases, it may dynamically be deployed onto
more replicas up to max_replica_count, and as traffic decreases, some
of these extra replicas may be freed.
If the requested value is too large, the deployment will error.
[[["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 2025-01-27 UTC."],[],[]]