tessl/npm-pulumi--aws
A Pulumi package for creating and managing Amazon Web Services (AWS) cloud resources with infrastructure-as-code.
—
Pending
Quality
Pending
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
sagemaker.mddocs/services/
Amazon SageMaker (Services Overview)
Amazon SageMaker is a fully managed machine learning service.
SageMaker Components
Model Development
Build and train ML models.
See SageMaker Documentation for detailed documentation.
const notebook = new aws.sagemaker.NotebookInstance("ml-notebook", {
name: "development",
roleArn: role.arn,
instanceType: "ml.t3.medium",
});Model Training
const trainingJob = new aws.sagemaker.TrainingJob("training", {
name: "model-training",
roleArn: role.arn,
algorithmSpecification: {
trainingImage: "image",
trainingInputMode: "File",
},
});Model Deployment
const model = new aws.sagemaker.Model("model", {
name: "prediction-model",
executionRoleArn: role.arn,
primaryContainer: {
image: "model-image",
},
});
const endpoint = new aws.sagemaker.Endpoint("inference", {
name: "inference-endpoint",
endpointConfigName: config.name,
});Use Cases
- Model Development: Interactive notebooks
- Training: Distributed model training
- Deployment: Real-time inference endpoints
- AutoML: Automated machine learning
Related Services
- S3 - Data storage
- ECR - Container images
- Full SageMaker Documentation
Install with Tessl CLI
npx tessl i tessl/npm-pulumi--aws@7.16.0