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feat(client-sagemaker): Sagemaker Neo now supports compilation for inferentia2 (ML_INF2) and Trainium1 (ML_TRN1) as available targets. With these devices, you can run your workloads at highest performance with lowest cost. inferentia2 (ML_INF2) is available in CMH and Trainium1 (ML_TRN1) is available in IAD currently
* this API. To make sure that the tags associated with a Domain or User Profile are
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* also added to all Apps that the Domain or User Profile launches, add the tags when
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* you first create the Domain or User Profile by specifying them in the
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* <code>Tags</code> parameter of <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateDomain.html">CreateDomain</a> or <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateUserProfile.html">CreateUserProfile</a>.</p>
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* <code>Tags</code> parameter of <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateDomain.html">CreateDomain</a>
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* or <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateUserProfile.html">CreateUserProfile</a>.</p>
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* </note>
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* @example
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* Use a bare-bones client and the command you need to make an API call.
* <p>When it receives the request, SageMaker creates the endpoint, launches the resources (ML
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* compute instances), and deploys the model(s) on them. </p>
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* <note>
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* <p>When you call <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html">CreateEndpoint</a>, a load call is made to DynamoDB to
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* verify that your endpoint configuration exists. When you read data from a DynamoDB
* <p>When you call <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html">CreateEndpoint</a>, a load call is made to DynamoDB to verify that your
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* endpoint configuration exists. When you read data from a DynamoDB table supporting
* reflect the results of a recently completed write operation. The response might
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* include some stale data. If the dependent entities are not yet in DynamoDB, this
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* causes a validation error. If you repeat your read request after a short time, the
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* response should return the latest data. So retry logic is recommended to handle
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* these possible issues. We also recommend that customers call <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeEndpointConfig.html">DescribeEndpointConfig</a> before calling <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html">CreateEndpoint</a> to minimize the potential impact of a DynamoDB eventually consistent read.</p>
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* these possible issues. We also recommend that customers call <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeEndpointConfig.html">DescribeEndpointConfig</a> before calling <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html">CreateEndpoint</a> to minimize the potential impact of a DynamoDB
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* eventually consistent read.</p>
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* </note>
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* <p>When SageMaker receives the request, it sets the endpoint status to
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* <code>Creating</code>. After it creates the endpoint, it sets the status to
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* <code>InService</code>. SageMaker can then process incoming requests for inferences. To
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* check the status of an endpoint, use the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeEndpoint.html">DescribeEndpoint</a>
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* API.</p>
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* check the status of an endpoint, use the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeEndpoint.html">DescribeEndpoint</a> API.</p>
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* <p>If any of the models hosted at this endpoint get model data from an Amazon S3 location,
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* SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the
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* S3 path you provided. Amazon Web Services STS is activated in your Amazon Web Services
* <p> To add the IAM role policies for using this API operation, go to the <a href="https://console.aws.amazon.com/iam/">IAM console</a>, and choose
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* Roles in the left navigation pane. Search the IAM role that you want to grant
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* access to use the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html">CreateEndpoint</a> and <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpointConfig.html">CreateEndpointConfig</a> API operations, add the following policies to
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* the role. </p>
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* access to use the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html">CreateEndpoint</a> and <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpointConfig.html">CreateEndpointConfig</a> API operations, add the following policies to the
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* role. </p>
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* <ul>
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* <li>
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* <p>Option 1: For a full SageMaker access, search and attach the
* for model B. SageMaker distributes two-thirds of the traffic to Model A, and one-third to
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* model B. </p>
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* <note>
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* <p>When you call <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html">CreateEndpoint</a>, a load call is made to DynamoDB to
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* verify that your endpoint configuration exists. When you read data from a DynamoDB
* <p>When you call <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html">CreateEndpoint</a>, a load call is made to DynamoDB to verify that your
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* endpoint configuration exists. When you read data from a DynamoDB table supporting
* reflect the results of a recently completed write operation. The response might
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* include some stale data. If the dependent entities are not yet in DynamoDB, this
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* causes a validation error. If you repeat your read request after a short time, the
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* response should return the latest data. So retry logic is recommended to handle
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* these possible issues. We also recommend that customers call <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeEndpointConfig.html">DescribeEndpointConfig</a> before calling <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html">CreateEndpoint</a> to minimize the potential impact of a DynamoDB eventually consistent read.</p>
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* these possible issues. We also recommend that customers call <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeEndpointConfig.html">DescribeEndpointConfig</a> before calling <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html">CreateEndpoint</a> to minimize the potential impact of a DynamoDB
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* eventually consistent read.</p>
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* </note>
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* @example
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* Use a bare-bones client and the command you need to make an API call.
* <code>aws:SourceIP</code> condition context key to specify the list of IP addresses
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* that you want to have access to the notebook instance. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/security_iam_id-based-policy-examples.html#nbi-ip-filter">Limit Access to a Notebook Instance by IP Address</a>.</p>
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* <note>
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* <p>The URL that you get from a call to <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreatePresignedNotebookInstanceUrl.html">CreatePresignedNotebookInstanceUrl</a> is valid only for 5 minutes. If
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* you try to use the URL after the 5-minute limit expires, you are directed to the
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* Amazon Web Services console sign-in page.</p>
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* <p>The URL that you get from a call to <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreatePresignedNotebookInstanceUrl.html">CreatePresignedNotebookInstanceUrl</a> is valid only for 5 minutes. If you
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* try to use the URL after the 5-minute limit expires, you are directed to the Amazon Web Services console sign-in page.</p>
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* </note>
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* @example
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* Use a bare-bones client and the command you need to make an API call.
* <p>Gets a list of <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingJobSummary.html">TrainingJobSummary</a> objects that describe the training
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* jobs that a hyperparameter tuning job launched.</p>
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* <p>Gets a list of <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingJobSummary.html">TrainingJobSummary</a> objects that describe the training jobs that a
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* hyperparameter tuning job launched.</p>
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* @example
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* Use a bare-bones client and the command you need to make an API call.
* using the previous <code>EndpointConfig</code> (there is no availability loss). </p>
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* <p>When SageMaker receives the request, it sets the endpoint status to
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* <code>Updating</code>. After updating the endpoint, it sets the status to
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* <code>InService</code>. To check the status of an endpoint, use the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeEndpoint.html">DescribeEndpoint</a> API.
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* <code>InService</code>. To check the status of an endpoint, use the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeEndpoint.html">DescribeEndpoint</a> API.
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