Amazon SageMaker AI Ranks
Amazon SageMaker AI: Build & Scale Machine Learning Models | AWS
Want to unlock the power of machine learning without getting bogged down in complex infrastructure? Amazon SageMaker AI is revolutionizing how data scientists and developers build, train, and deploy models at scale. This fully managed service, part of a broader AI development platform, takes the heavy lifting out of the process – from scaling to petabyte levels and automating model tuning – letting you focus on creating truly innovative solutions. Whether you're exploring data with hosted Jupyter notebooks or leveraging AI development tools like SageMaker Studio and Bedrock, SageMaker AI offers a complete lifecycle solution, complete with features like generative AI playgrounds and robust governance.
Pricing
Pricing:
Pricing Plans:
Free of charge for access, billed for underlying compute and storage resources utilized by IDEs and ML tools.
Contact AWS for pricing for 1 to 100,000 devices.
$0.20 per device for 100,001 to 750,000 devices.
$0.10 per device for more than 750,000 devices.
Contact AWS for pricing for 1 to 50,000 models.
Contact AWS for pricing for 50,001 to 100,000 models.
Contact AWS for pricing for more than 100,000 models.
$150 per user, granting access to SageMaker Studio notebook pre-loaded with geospatial features.
$1.20 per hour for ml.geospatial.interactive instances.
$0.40 per hour for ml.geospatial.jobs instances.
$2.50 per hour for ml.geospatial.models instances.
$0.023 per GB-month.
60-day free trial includes no monthly user fee, 10 free ml.geospatial.interactive compute hours, and up to 10 GB of free storage.
$1.90 per session-hour.
Each account receives free usage per billing month, including metadata storage, API requests, and compute units; core APIs always free.
2-month free trial includes 250 hours notebook usage, 50 hours training, 125 hours hosting on specified instances.
$0.21 per completed human evaluation task.
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