Describes the resources, including machine learning (ML) compute instances and ML storage volumes, to use for model training.
Inheritance Hierarchy
Namespace: Amazon.SageMaker.Model
Assembly: AWSSDK.SageMaker.dll
Version: 3.x.y.z
Syntax
public class ResourceConfig
The ResourceConfig type exposes the following members
Constructors
| Name | Description | |
|---|---|---|
|
ResourceConfig() |
Properties
| Name | Type | Description | |
|---|---|---|---|
|
|
InstanceCount | System.Int32 |
Gets and sets the property InstanceCount. The number of ML compute instances to use. For distributed training, provide a value greater than 1. |
|
|
InstanceGroups | System.Collections.Generic.List<Amazon.SageMaker.Model.InstanceGroup> |
Gets and sets the property InstanceGroups. The configuration of a heterogeneous cluster in JSON format. |
|
|
InstanceType | Amazon.SageMaker.TrainingInstanceType |
Gets and sets the property InstanceType. The ML compute instance type. SageMaker Training on Amazon Elastic Compute Cloud (EC2) P4de instances is in preview release starting December 9th, 2022.
Amazon EC2 P4de instances
(currently in preview) are powered by 8 NVIDIA A100 GPUs with 80GB high-performance
HBM2e GPU memory, which accelerate the speed of training ML models that need to be
trained on large datasets of high-resolution data. In this preview release, Amazon
SageMaker supports ML training jobs on P4de instances (
To request quota limit increase and start using P4de instances, contact the SageMaker Training service team through your account team. |
|
|
KeepAlivePeriodInSeconds | System.Int32 |
Gets and sets the property KeepAlivePeriodInSeconds. The duration of time in seconds to retain configured resources in a warm pool for subsequent training jobs. |
|
|
VolumeKmsKeyId | System.String |
Gets and sets the property VolumeKmsKeyId. The Amazon Web Services KMS key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job.
Certain Nitro-based instances include local storage, dependent on the instance type.
Local storage volumes are encrypted using a hardware module on the instance. You can't
request a For a list of instance types that support local instance storage, see Instance Store Volumes. For more information about local instance storage encryption, see SSD Instance Store Volumes.
The
|
|
|
VolumeSizeInGB | System.Int32 |
Gets and sets the property VolumeSizeInGB. The size of the ML storage volume that you want to provision.
ML storage volumes store model artifacts and incremental states. Training algorithms
might also use the ML storage volume for scratch space. If you want to store the training
data in the ML storage volume, choose
When using an ML instance with NVMe
SSD volumes, SageMaker doesn't provision Amazon EBS General Purpose SSD (gp2)
storage. Available storage is fixed to the NVMe-type instance's storage capacity.
SageMaker configures storage paths for training datasets, checkpoints, model artifacts,
and outputs to use the entire capacity of the instance storage. For example, ML instance
families with the NVMe-type instance storage include
When using an ML instance with the EBS-only storage option and without instance storage,
you must define the size of EBS volume through To look up instance types and their instance storage types and volumes, see Amazon EC2 Instance Types. To find the default local paths defined by the SageMaker training platform, see Amazon SageMaker Training Storage Folders for Training Datasets, Checkpoints, Model Artifacts, and Outputs. |
Version Information
.NET Core App:
Supported in: 3.1
.NET Standard:
Supported in: 2.0
.NET Framework:
Supported in: 4.5, 4.0, 3.5