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 that 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
to that many replicas is guaranteed (barring service outages). If traffic
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 that 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 2025-07-18 UTC."],[],[]]
