Machine Learning Service - Amazon SageMaker AI
Build, train, and deploy machine learning models for any use case with fully managed infrastructure, tools, and workflows
What is Amazon SageMaker AI?
✔ To make it easier to get started, Amazon SageMaker JumpStart provides a set of solutions for the most common use cases that can be deployed readily with just a few clicks.
✔ Prepare, build, train, and deploy high-quality machine learning models quickly by bringing together a broad set of capabilities purpose-built for machine learning.
✔ Amazon SageMaker AI is available for free, for 2 months, as part of the AWS Free Tier program. Users can get access to 250 hours per month of ml.t3.medium notebooks usage with the Free Tier.
Getting Started with Amazon SageMaker AI
Amazon SageMaker AI JumpStart helps you quickly and easily get started with machine learning. The solutions are fully customizable and supports one-click deployment and fine-tuning of more than 150 popular open source models such as natural language processing, object detection, and image classification models. Popular solutions include:
Amazon SageMaker AI on the Free Tier
As part of the AWS Free Tier, you can get started with Amazon SageMaker AI for free. Your two month free trial starts from the first month when you create your first SageMaker AI resource. The details of the free tier for Amazon SageMaker AI are in the table below:
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Amazon SageMaker AI capability
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Free Tier usage per month for the first 2 months
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Product Pricing
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Studio notebooks, and on-demand notebook instances
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250 hours of ml.t3.medium instance on Studio notebooks OR 250 hours of ml.t2 medium instance or ml.t3.medium instance on on-demand notebook instances |
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RStudio on SageMaker AI
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250 hours of ml.t3.medium instance on RSession app AND free ml.t3.medium instance for RStudioServerPro app |
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Data Wrangler
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25 hours of ml.m5.4xlarge instance |
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Feature Store
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10 million write units, 10 million read units, 25 GB storage |
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Training
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50 hours of m4.xlarge or m5.xlarge instances |
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Real-Time Inference
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125 hours of m4.xlarge or m5.xlarge instances |
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Serverless Inference
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150,000 seconds of inference duration |
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Canvas
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160 workspace instance hours/month, and up to 10 model creation requests/month, each with up to 1 million cells/model creation request |
Learn More About Amazon SageMaker AI
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