Data Source: oci_generative_ai_dedicated_ai_cluster

This data source provides details about a specific Dedicated Ai Cluster resource in Oracle Cloud Infrastructure Generative Ai service.

Gets information about a dedicated AI cluster.

Example Usage

data "oci_generative_ai_dedicated_ai_cluster" "test_dedicated_ai_cluster" {
	#Required
	dedicated_ai_cluster_id = oci_generative_ai_dedicated_ai_cluster.test_dedicated_ai_cluster.id
}

Argument Reference

The following arguments are supported:

• dedicated_ai_cluster_id - (Required) The OCID of the dedicated AI cluster.

Attributes Reference

The following attributes are exported:

• capacity - The total capacity for a dedicated AI cluster.
  • capacity_type - The type of the dedicated AI cluster capacity.
  • total_endpoint_capacity - The total number of endpoints that can be hosted on this dedicated AI cluster.
  • used_endpoint_capacity - The number of endpoints hosted on this dedicated AI cluster.
• compartment_id - The compartment OCID to create the dedicated AI cluster in.
• defined_tags - Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
• description - An optional description of the dedicated AI cluster.
• display_name - A user-friendly name. Does not have to be unique, and it’s changeable.
• freeform_tags - Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags. Example: {"Department": "Finance"}
• id - The OCID of the dedicated AI cluster.
• lifecycle_details - A message describing the current state with detail that can provide actionable information.
• state - The current state of the dedicated AI cluster.
• system_tags - System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
• time_created - The date and time the dedicated AI cluster was created, in the format defined by RFC 3339
• time_updated - The date and time the dedicated AI cluster was updated, in the format defined by RFC 3339
• type - The dedicated AI cluster type indicating whether this is a fine-tuning/training processor or hosting/inference processor.
• unit_count - The number of dedicated units in this AI cluster.
• unit_shape - The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.