Class: Aws::SageMaker::Types::ComputeQuotaResourceConfig

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::ComputeQuotaResourceConfig

Includes:

Aws::Structure

Defined in:

lib/aws-sdk-sagemaker/types.rb

Overview

Configuration of the resources used for the compute allocation definition.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #accelerator_partition ⇒ Types::AcceleratorPartitionConfig

  The accelerator partition configuration for fractional GPU allocation.

• #accelerators ⇒ Integer

  The number of accelerators to allocate.

• #count ⇒ Integer

  The number of instances to add to the instance group of a SageMaker HyperPod cluster.

• #instance_type ⇒ String

  The instance type of the instance group for the cluster.

• #memory_in_gi_b ⇒ Float

  The amount of memory in GiB to allocate.

• #v_cpu ⇒ Float

  The number of vCPU to allocate.

Instance Attribute Details

#accelerator_partition ⇒ Types::AcceleratorPartitionConfig

The accelerator partition configuration for fractional GPU allocation.

Returns:

• (Types::AcceleratorPartitionConfig)

# File 'lib/aws-sdk-sagemaker/types.rb', line 7020

class ComputeQuotaResourceConfig < Struct.new(
  :instance_type,
  :count,
  :accelerators,
  :v_cpu,
  :memory_in_gi_b,
  :accelerator_partition)
  SENSITIVE = []
  include Aws::Structure
end

#accelerators ⇒ Integer

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.

Returns:

• (Integer)

# File 'lib/aws-sdk-sagemaker/types.rb', line 7020

class ComputeQuotaResourceConfig < Struct.new(
  :instance_type,
  :count,
  :accelerators,
  :v_cpu,
  :memory_in_gi_b,
  :accelerator_partition)
  SENSITIVE = []
  include Aws::Structure
end

#count ⇒ Integer

The number of instances to add to the instance group of a SageMaker HyperPod cluster.

Returns:

• (Integer)

# File 'lib/aws-sdk-sagemaker/types.rb', line 7020

class ComputeQuotaResourceConfig < Struct.new(
  :instance_type,
  :count,
  :accelerators,
  :v_cpu,
  :memory_in_gi_b,
  :accelerator_partition)
  SENSITIVE = []
  include Aws::Structure
end

#instance_type ⇒ String

The instance type of the instance group for the cluster.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 7020

class ComputeQuotaResourceConfig < Struct.new(
  :instance_type,
  :count,
  :accelerators,
  :v_cpu,
  :memory_in_gi_b,
  :accelerator_partition)
  SENSITIVE = []
  include Aws::Structure
end

#memory_in_gi_b ⇒ Float

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.

Returns:

• (Float)

# File 'lib/aws-sdk-sagemaker/types.rb', line 7020

class ComputeQuotaResourceConfig < Struct.new(
  :instance_type,
  :count,
  :accelerators,
  :v_cpu,
  :memory_in_gi_b,
  :accelerator_partition)
  SENSITIVE = []
  include Aws::Structure
end

#v_cpu ⇒ Float

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.

Returns:

• (Float)

# File 'lib/aws-sdk-sagemaker/types.rb', line 7020

class ComputeQuotaResourceConfig < Struct.new(
  :instance_type,
  :count,
  :accelerators,
  :v_cpu,
  :memory_in_gi_b,
  :accelerator_partition)
  SENSITIVE = []
  include Aws::Structure
end