|
gptkbp:instance_of
|
gptkb:software_framework
|
|
gptkbp:bfsLayer
|
3
|
|
gptkbp:bfsParent
|
gptkb:server
|
|
gptkbp:developed_by
|
gptkb:server
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
AWS Sage Maker
|
|
gptkbp:integrates_with
|
gptkb:aircraft
gptkb:Amazon_S3
Amazon E C2
|
|
gptkbp:is_available_in
|
Multiple Regions
|
|
gptkbp:is_compatible_with
|
gptkb:Graphics_Processing_Unit
gptkb:Keras
gptkb:CEO
gptkb:Chainer
gptkb:Hugging_Face_Transformers
gptkb:Py_Torch
gptkb:Scikit-learn
Docker Containers
MX Net
XG Boost
|
|
gptkbp:is_part_of
|
gptkb:AWS_Cloud
|
|
gptkbp:is_used_by
|
gptkb:software
Data Scientists
Machine Learning Engineers
|
|
gptkbp:offers
|
Built-in Algorithms
Custom Algorithms
Multi-Model Endpoints
Hyperparameter Optimization
Automatic Model Tuning
Data Labeling Services
Model Hosting
|
|
gptkbp:provides
|
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
|
|
gptkbp:release_date
|
November 2017
|
|
gptkbp:revenue
|
Pay-as-you-go
Reserved Instances
Spot Instances
|
|
gptkbp:supports
|
Batch Transform
Real-time Inference
Collaborative Development
Data Science Workflows
Multiple Frameworks
ML Ops
Training and Inference
|