I have a sagemaker account setup in US-WEST-2 region. I have successfully trained and deployed my model; however, how can I chose to deploy the endpoint in a different region?

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Assume I have a sagemaker account in one region where I have all my code, data and model artifacts etc.. I have been able to successfully deploy these models using the estimator.deploy() API after calling the estimator.fit() method. However, what If I dont want to deploy the model in the same region as my sagemaker account and want to deploy the endpoint in another region, how can I do that?

  • With AWS Model registry you can share models accross accounts. You can register your model in the region you choose then deploy it from there.

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1 Antwort
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You can specify the region using either AWS SDK for Python (Boto3) or SageMaker Python SDK. Amazon SageMaker documentation provide a step by step guide for each one of them. You need

  1. SageMaker region name
  2. SageMaker execution role
  3. Your framework
  4. model data path
AWS
Zmnako
beantwortet vor einem Jahr

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