diff --git a/sample/sagemaker/2017-07-24/service-2.json b/sample/sagemaker/2017-07-24/service-2.json index 95be304..26c2fb3 100644 --- a/sample/sagemaker/2017-07-24/service-2.json +++ b/sample/sagemaker/2017-07-24/service-2.json @@ -9447,7 +9447,8 @@ "ml.r7i.12xlarge", "ml.r7i.16xlarge", "ml.r7i.24xlarge", - "ml.r7i.48xlarge" + "ml.r7i.48xlarge", + "ml.p6-b300.48xlarge" ] }, "ClusterKubernetesConfig":{ @@ -9815,7 +9816,6 @@ }, "ClusterOrchestrator":{ "type":"structure", - "required":["Eks"], "members":{ "Eks":{ "shape":"ClusterOrchestratorEksConfig", @@ -27014,7 +27014,7 @@ "type":"integer", "documentation":"
Optional. Customer requested period in seconds for which the Training cluster is kept alive after the job is finished.
", "box":true, - "max":3600, + "max":21600, "min":0 }, "KendraSettings":{ @@ -39781,7 +39781,8 @@ "ml.p6-b200.48xlarge", "ml.p4de.24xlarge", "ml.p6e-gb200.36xlarge", - "ml.p5.4xlarge" + "ml.p5.4xlarge", + "ml.p6-b300.48xlarge" ] }, "ReservedCapacityOffering":{ @@ -43475,7 +43476,8 @@ "ml.r7i.24xlarge", "ml.r7i.48xlarge", "ml.p6e-gb200.36xlarge", - "ml.p5.4xlarge" + "ml.p5.4xlarge", + "ml.p6-b300.48xlarge" ] }, "TrainingInstanceTypes":{ diff --git a/src/sagemaker_core/main/shapes.py b/src/sagemaker_core/main/shapes.py index fc3f9f4..482f601 100644 --- a/src/sagemaker_core/main/shapes.py +++ b/src/sagemaker_core/main/shapes.py @@ -4254,7 +4254,7 @@ class ClusterOrchestrator(Base): eks: The Amazon EKS cluster used as the orchestrator for the SageMaker HyperPod cluster. """ - eks: ClusterOrchestratorEksConfig + eks: Optional[ClusterOrchestratorEksConfig] = Unassigned() class FSxLustreConfig(Base):