Notebook
Provides a SageMaker Notebook Instance resource.
Example Usage
Basic usage
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.sagemaker.NotebookInstance;
import com.pulumi.aws.sagemaker.NotebookInstanceArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var ni = new NotebookInstance("ni", NotebookInstanceArgs.builder()
.roleArn(aws_iam_role.role().arn())
.instanceType("ml.t2.medium")
.tags(Map.of("Name", "foo"))
.build());
}
}Code repository usage
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.sagemaker.CodeRepository;
import com.pulumi.aws.sagemaker.CodeRepositoryArgs;
import com.pulumi.aws.sagemaker.inputs.CodeRepositoryGitConfigArgs;
import com.pulumi.aws.sagemaker.NotebookInstance;
import com.pulumi.aws.sagemaker.NotebookInstanceArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var example = new CodeRepository("example", CodeRepositoryArgs.builder()
.codeRepositoryName("my-notebook-instance-code-repo")
.gitConfig(CodeRepositoryGitConfigArgs.builder()
.repositoryUrl("https://github.com/github/docs.git")
.build())
.build());
var ni = new NotebookInstance("ni", NotebookInstanceArgs.builder()
.roleArn(aws_iam_role.role().arn())
.instanceType("ml.t2.medium")
.defaultCodeRepository(example.codeRepositoryName())
.tags(Map.of("Name", "foo"))
.build());
}
}Import
SageMaker Notebook Instances can be imported using the name, e.g.,
$ pulumi import aws:sagemaker/notebookInstance:NotebookInstance test_notebook_instance my-notebook-instanceConstructors
Properties
A list of Elastic Inference (EI) instance types to associate with this notebook instance. See Elastic Inference Accelerator for more details. Valid values: ml.eia1.medium, ml.eia1.large, ml.eia1.xlarge, ml.eia2.medium, ml.eia2.large, ml.eia2.xlarge.
An array of up to three Git repositories to associate with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in AWS CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance.
The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in AWS CodeCommit or in any other Git repository.
Set to Disabled to disable internet access to notebook. Requires security_groups and subnet_id to be set. Supported values: Enabled (Default) or Disabled. If set to Disabled, the notebook instance will be able to access resources only in your VPC, and will not be able to connect to Amazon SageMaker training and endpoint services unless your configure a NAT Gateway in your VPC.
Information on the IMDS configuration of the notebook instance. Conflicts with instance_metadata_service_configuration. see details below.
The name of ML compute instance type.
The name of a lifecycle configuration to associate with the notebook instance.
The platform identifier of the notebook instance runtime environment. This value can be either notebook-al1-v1, notebook-al2-v1, or notebook-al2-v2, depending on which version of Amazon Linux you require.
Whether root access is Enabled or Disabled for users of the notebook instance. The default value is Enabled.
The associated security groups.
The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB.