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gptkbp:instance_of
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gptkb:AI_technology
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gptkbp:developed_by
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gptkb:Amazon_Web_Services
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https://www.w3.org/2000/01/rdf-schema#label
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AWS Sage Maker
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gptkbp:integrates_with
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gptkb:Amazon_S3
gptkb:AWS_Lambda
gptkb:Amazon_EC2
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gptkbp:is_available_in
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Multiple Regions
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gptkbp:is_compatible_with
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gptkb:XGBoost
gptkb:Tensor_Flow
gptkb:Keras
gptkb:Chainer
gptkb:Hugging_Face_Transformers
gptkb:MXNet
gptkb:Py_Torch
gptkb:Oni
gptkb:Scikit-learn
Docker Containers
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gptkbp:is_part_of
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gptkb:AWS_Cloud
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gptkbp:is_used_by
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gptkb:developers
Data Scientists
Machine Learning Engineers
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gptkbp:offers
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Built-in Algorithms
Custom Algorithms
Multi-Model Endpoints
Hyperparameter Optimization
Automatic Model Tuning
Data Labeling Services
Model Hosting
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gptkbp:provides
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gptkb:Sage_Maker_Canvas
gptkb:Sage_Maker_Data_Wrangler
gptkb:Sage_Maker_Feature_Store
gptkb:Sage_Maker_Jump_Start
gptkb:Sage_Maker_Training_Compiler
gptkb:Sage_Maker_Autopilot
gptkb:Sage_Maker_Debugger
gptkb:Sage_Maker_Ground_Truth
gptkb:Sage_Maker_Model_Monitor
gptkb:Sage_Maker_Neo
gptkb:Sage_Maker_Studio
Managed Jupyter Notebooks
Sage Maker Pipelines
Sage Maker Experiments
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gptkbp:release_date
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November 2017
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gptkbp:revenue
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Pay-as-you-go
Reserved Instances
Spot Instances
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gptkbp:supports
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Batch Transform
Real-time Inference
Collaborative Development
Data Science Workflows
Multiple Frameworks
ML Ops
Training and Inference
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gptkbp:bfsParent
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gptkb:Amazon_Web_Services
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gptkbp:bfsLayer
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4
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