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SageMaker vs Bedrock

What is a VPC: your own private network inside one AWS Region, example ThreeTierVpc 10.0.0.0/16.

SageMaker vs Bedrock Teams ask for “AI on AWS” without knowing if they train or just call a model. SageMaker: you train/customize on your labelled data. Bedrock: call managed foundation models via API without training the base model. Fraud score on your rows → SageMaker. Chat/summarise with Claude/Llama-class models → Bedrock. Many apps use both: Bedrock for text, SageMaker for a custom classifier
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What this card says

Why do we need it?

Teams ask for “AI on AWS” without knowing if they train or just call a model.

What is it?

SageMaker: you train/customize on your labelled data. Bedrock: call managed foundation models via API without training the base model.

How to do it

Fraud score on your rows → SageMaker. Chat/summarise with Claude/Llama-class models → Bedrock.

Example

Many apps use both: Bedrock for text, SageMaker for a custom classifier.

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