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Amazon SageMaker

aws.amazon.com
Summary

Amazon SageMaker is a comprehensive cloud-based machine learning service provided by AWS. It offers tools and infrastructure for the entire machine learning lifecycle, including data preparation, model building, training, and deployment. It aims to accelerate AI development for enterprises by providing a unified studio and governance capabilities.

Features
0/15
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No common features found

Pricing
Usage-based
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Requests

$10.00 per request
  • API requests
  • First 4,000 requests in a billing month are free

Metadata storage

$0.40 per gb
  • Domains
  • Glossaries and terms
  • Metadata forms
  • Projects
  • Environments
  • Users
  • Data assets
  • 20 MB of free storage in a billing month per account

Compute

$1.78 per unit
  • Ingest asset and schema metadata from your data sources, including AWS Glue databases and Amazon Redshift
  • Business name recommendations when publishing assets to your catalog
  • 0.2 compute units free in a billing month

Recommendations

$0.02 per request
  • Column descriptions
  • Asset descriptions
  • Analytical use cases in AI recommendations for descriptions
  • No free usage
Rationale

Amazon SageMaker is a cloud machine learning platform that allows developers to build, train, and deploy machine learning models. While it deals with data and AI, it is a platform for building AI solutions, not an AI-powered file organizer for end-users. It does not offer features like AI file chat, semantic search for files, or automated file sorting rules as described in the Dynbox concept. It's a foundational service for AI development, not a direct competitor in the AI file organization space.