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Namespace DedicatedAiClusterSummary

Summary information about a dedicated AI cluster.

Properties

Optional capacity

capacity: model.DedicatedAiClusterHostingCapacity

compartmentId

compartmentId: string

The compartment OCID to create the dedicated AI cluster in.

Optional definedTags

definedTags: undefined | object

Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags.

Example: {@code {\"Operations\": {\"CostCenter\": \"42\"}}}

Optional description

description: undefined | string

An optional description of the dedicated AI cluster.

Optional displayName

displayName: undefined | string

A user-friendly name. Does not have to be unique, and it's changeable.

Optional freeformTags

freeformTags: undefined | object

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: {@code {\"Department\": \"Finance\"}}

id

id: string

The OCID of the dedicated AI cluster.

Optional lifecycleDetails

lifecycleDetails: undefined | string

A message describing the current state of the dedicated AI cluster in more detail that can provide actionable information.

lifecycleState

lifecycleState: string

The current state of the dedicated AI cluster.

Allowed values are: - CREATING - ACTIVE - UPDATING - DELETING - DELETED - FAILED - NEEDS_ATTENTION

Optional systemTags

systemTags: undefined | object

System tags for this resource. Each key is predefined and scoped to a namespace.

Example: {@code {\"orcl-cloud\": {\"free-tier-retained\": \"true\"}}}

timeCreated

timeCreated: Date

The date and time the dedicated AI cluster was created, in the format defined by RFC 3339.

Optional timeUpdated

timeUpdated: Date

The date and time the dedicated AI cluster was updated, in the format defined by RFC 3339.

type

type: string

The dedicated AI cluster type indicating whether this is a fine-tuning/training processor or hosting/inference processor.

Allowed values are: - HOSTING - FINE_TUNING

unitCount

unitCount: number

The number of dedicated units in this AI cluster. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.

unitShape

unitShape: string

The shape of dedicated unit in this AI cluster. The underlying hardware configuration is hidden from customers.

Functions

getDeserializedJsonObj

getJsonObj