ReservedCapacitySummary
Details of a reserved capacity for the training plan.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using
Amazon SageMaker Training Plan, see
CreateTrainingPlan
.
Contents
- InstanceType
-
The instance type for the reserved capacity.
Type: String
Valid Values:
ml.p4d.24xlarge | ml.p5.48xlarge | ml.p5e.48xlarge | ml.p5en.48xlarge | ml.trn2.48xlargeRequired: Yes
- ReservedCapacityArn
-
The Amazon Resource Name (ARN); of the reserved capacity.
Type: String
Length Constraints: Minimum length of 50. Maximum length of 2048.
Pattern:
arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:reserved-capacity/.*Required: Yes
- Status
-
The current status of the reserved capacity.
Type: String
Valid Values:
Pending | Active | Scheduled | Expired | FailedRequired: Yes
- TotalInstanceCount
-
The total number of instances in the reserved capacity.
Type: Integer
Valid Range: Minimum value of 0.
Required: Yes
- AvailabilityZone
-
The availability zone for the reserved capacity.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 32.
Pattern:
[a-z]+\-[0-9a-z\-]+Required: No
- DurationHours
-
The number of whole hours in the total duration for this reserved capacity.
Type: Long
Valid Range: Minimum value of 0. Maximum value of 87600.
Required: No
- DurationMinutes
-
The additional minutes beyond whole hours in the total duration for this reserved capacity.
Type: Long
Valid Range: Minimum value of 0. Maximum value of 59.
Required: No
- EndTime
-
The end time of the reserved capacity.
Type: Timestamp
Required: No
- StartTime
-
The start time of the reserved capacity.
Type: Timestamp
Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
