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AWS::SageMaker::ComputeQuota ComputeQuotaResourceConfig
Configuration of the resources used for the compute allocation definition.
Syntax
To declare this entity in your CloudFormation template, use the following syntax:
JSON
{ "AcceleratorPartition" :AcceleratorPartitionConfig, "Accelerators" :Integer, "Count" :Integer, "InstanceType" :String, "MemoryInGiB" :Number, "VCpu" :Number}
YAML
AcceleratorPartition:AcceleratorPartitionConfigAccelerators:IntegerCount:IntegerInstanceType:StringMemoryInGiB:NumberVCpu:Number
Properties
AcceleratorPartition-
The accelerator partition configuration for fractional GPU allocation.
Required: No
Type: AcceleratorPartitionConfig
Update requires: No interruption
Accelerators-
The number of accelerators to allocate. If you don't specify a value for vCPU and MemoryInGiB, SageMaker AI automatically allocates ratio-based values for those parameters based on the number of accelerators you provide. For example, if you allocate 16 out of 32 total accelerators, SageMaker AI uses the ratio of 0.5 and allocates values to vCPU and MemoryInGiB.
Required: No
Type: Integer
Minimum:
0Maximum:
10000000Update requires: No interruption
Count-
The number of instances to add to the instance group of a SageMaker HyperPod cluster.
Required: No
Type: Integer
Minimum:
0Maximum:
10000000Update requires: No interruption
InstanceType-
The instance type of the instance group for the cluster.
Required: Yes
Type: String
Allowed values:
ml.p4d.24xlarge | ml.p4de.24xlarge | ml.p5.48xlarge | ml.p5.4xlarge | ml.p6e-gb200.36xlarge | ml.trn1.32xlarge | ml.trn1n.32xlarge | ml.g5.xlarge | ml.g5.2xlarge | ml.g5.4xlarge | ml.g5.8xlarge | ml.g5.12xlarge | ml.g5.16xlarge | ml.g5.24xlarge | ml.g5.48xlarge | ml.c5.large | ml.c5.xlarge | ml.c5.2xlarge | ml.c5.4xlarge | ml.c5.9xlarge | ml.c5.12xlarge | ml.c5.18xlarge | ml.c5.24xlarge | ml.c5n.large | ml.c5n.2xlarge | ml.c5n.4xlarge | ml.c5n.9xlarge | ml.c5n.18xlarge | ml.m5.large | ml.m5.xlarge | ml.m5.2xlarge | ml.m5.4xlarge | ml.m5.8xlarge | ml.m5.12xlarge | ml.m5.16xlarge | ml.m5.24xlarge | ml.t3.medium | ml.t3.large | ml.t3.xlarge | ml.t3.2xlarge | ml.g6.xlarge | ml.g6.2xlarge | ml.g6.4xlarge | ml.g6.8xlarge | ml.g6.16xlarge | ml.g6.12xlarge | ml.g6.24xlarge | ml.g6.48xlarge | ml.gr6.4xlarge | ml.gr6.8xlarge | ml.g6e.xlarge | ml.g6e.2xlarge | ml.g6e.4xlarge | ml.g6e.8xlarge | ml.g6e.16xlarge | ml.g6e.12xlarge | ml.g6e.24xlarge | ml.g6e.48xlarge | ml.p5e.48xlarge | ml.p5en.48xlarge | ml.p6-b200.48xlarge | ml.trn2.3xlarge | ml.trn2.48xlarge | ml.c6i.large | ml.c6i.xlarge | ml.c6i.2xlarge | ml.c6i.4xlarge | ml.c6i.8xlarge | ml.c6i.12xlarge | ml.c6i.16xlarge | ml.c6i.24xlarge | ml.c6i.32xlarge | ml.m6i.large | ml.m6i.xlarge | ml.m6i.2xlarge | ml.m6i.4xlarge | ml.m6i.8xlarge | ml.m6i.12xlarge | ml.m6i.16xlarge | ml.m6i.24xlarge | ml.m6i.32xlarge | ml.r6i.large | ml.r6i.xlarge | ml.r6i.2xlarge | ml.r6i.4xlarge | ml.r6i.8xlarge | ml.r6i.12xlarge | ml.r6i.16xlarge | ml.r6i.24xlarge | ml.r6i.32xlarge | ml.i3en.large | ml.i3en.xlarge | ml.i3en.2xlarge | ml.i3en.3xlarge | ml.i3en.6xlarge | ml.i3en.12xlarge | ml.i3en.24xlarge | ml.m7i.large | ml.m7i.xlarge | ml.m7i.2xlarge | ml.m7i.4xlarge | ml.m7i.8xlarge | ml.m7i.12xlarge | ml.m7i.16xlarge | ml.m7i.24xlarge | ml.m7i.48xlarge | ml.r7i.large | ml.r7i.xlarge | ml.r7i.2xlarge | ml.r7i.4xlarge | ml.r7i.8xlarge | ml.r7i.12xlarge | ml.r7i.16xlarge | ml.r7i.24xlarge | ml.r7i.48xlarge | ml.r5d.16xlarge | ml.g7e.2xlarge | ml.g7e.4xlarge | ml.g7e.8xlarge | ml.g7e.12xlarge | ml.g7e.24xlarge | ml.g7e.48xlarge | ml.p6-b300.48xlarge | ml.g4dn.xlarge | ml.g4dn.2xlarge | ml.g4dn.4xlarge | ml.g4dn.8xlarge | ml.g4dn.12xlarge | ml.g4dn.16xlarge | ml.c6g.medium | ml.c6g.large | ml.c6g.xlarge | ml.c6g.2xlarge | ml.c6g.4xlarge | ml.c6g.8xlarge | ml.c6g.12xlarge | ml.c6g.16xlarge | ml.c7g.medium | ml.c7g.large | ml.c7g.xlarge | ml.c7g.2xlarge | ml.c7g.4xlarge | ml.c7g.8xlarge | ml.c7g.12xlarge | ml.c7g.16xlarge | ml.c8g.medium | ml.c8g.large | ml.c8g.xlarge | ml.c8g.2xlarge | ml.c8g.4xlarge | ml.c8g.8xlarge | ml.c8g.12xlarge | ml.c8g.16xlarge | ml.c8g.24xlarge | ml.c8g.48xlarge | ml.c6a.large | ml.c6a.xlarge | ml.c6a.2xlarge | ml.c6a.4xlarge | ml.c6a.8xlarge | ml.c6a.12xlarge | ml.c6a.16xlarge | ml.c6a.24xlarge | ml.c6a.32xlarge | ml.c6a.48xlarge | ml.m6a.large | ml.m6a.xlarge | ml.m6a.2xlarge | ml.m6a.4xlarge | ml.m6a.8xlarge | ml.m6a.12xlarge | ml.m6a.16xlarge | ml.m6a.24xlarge | ml.m6a.32xlarge | ml.m6a.48xlarge | ml.m6g.medium | ml.m6g.large | ml.m6g.xlarge | ml.m6g.2xlarge | ml.m6g.4xlarge | ml.m6g.8xlarge | ml.m6g.12xlarge | ml.m6g.16xlarge | ml.m7g.medium | ml.m7g.large | ml.m7g.xlarge | ml.m7g.2xlarge | ml.m7g.4xlarge | ml.m7g.8xlarge | ml.m7g.12xlarge | ml.m7g.16xlarge | ml.m8g.medium | ml.m8g.large | ml.m8g.xlarge | ml.m8g.2xlarge | ml.m8g.4xlarge | ml.m8g.8xlarge | ml.m8g.12xlarge | ml.m8g.16xlarge | ml.m8g.24xlarge | ml.m8g.48xlarge | ml.g7.2xlarge | ml.g7.4xlarge | ml.g7.8xlarge | ml.g7.12xlarge | ml.g7.24xlarge | ml.g7.48xlargeUpdate requires: No interruption
MemoryInGiB-
The amount of memory in GiB to allocate. If you specify a value only for this parameter, SageMaker AI automatically allocates a ratio-based value for vCPU based on this memory that you provide. For example, if you allocate 200 out of 400 total memory in GiB, SageMaker AI uses the ratio of 0.5 and allocates values to vCPU. Accelerators are set to 0.
Required: No
Type: Number
Minimum:
0Maximum:
10000000Update requires: No interruption
VCpu-
The number of vCPU to allocate. If you specify a value only for vCPU, SageMaker AI automatically allocates ratio-based values for MemoryInGiB based on this vCPU parameter. For example, if you allocate 20 out of 40 total vCPU, SageMaker AI uses the ratio of 0.5 and allocates values to MemoryInGiB. Accelerators are set to 0.
Required: No
Type: Number
Minimum:
0Maximum:
10000000Update requires: No interruption