View source: R/sagemaker_operations.R
sagemaker_create_cluster | R Documentation |
Creates a SageMaker HyperPod cluster. SageMaker HyperPod is a capability of SageMaker for creating and managing persistent clusters for developing large machine learning models, such as large language models (LLMs) and diffusion models. To learn more, see Amazon SageMaker HyperPod in the Amazon SageMaker Developer Guide.
See https://www.paws-r-sdk.com/docs/sagemaker_create_cluster/ for full documentation.
sagemaker_create_cluster(
ClusterName,
InstanceGroups,
VpcConfig = NULL,
Tags = NULL,
Orchestrator = NULL,
NodeRecovery = NULL
)
ClusterName |
[required] The name for the new SageMaker HyperPod cluster. |
InstanceGroups |
[required] The instance groups to be created in the SageMaker HyperPod cluster. |
VpcConfig |
Specifies the Amazon Virtual Private Cloud (VPC) that is associated with the Amazon SageMaker HyperPod cluster. You can control access to and from your resources by configuring your VPC. For more information, see Give SageMaker access to resources in your Amazon VPC. When your Amazon VPC and subnets support IPv6, network communications differ based on the cluster orchestration platform:
Additional resources for IPv6 configuration:
|
Tags |
Custom tags for managing the SageMaker HyperPod cluster as an Amazon Web Services resource. You can add tags to your cluster in the same way you add them in other Amazon Web Services services that support tagging. To learn more about tagging Amazon Web Services resources in general, see Tagging Amazon Web Services Resources User Guide. |
Orchestrator |
The type of orchestrator to use for the SageMaker HyperPod cluster.
Currently, the only supported value is |
NodeRecovery |
The node recovery mode for the SageMaker HyperPod cluster. When set to
|
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