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gptkbp:instance_of
|
gptkb:AI_technology
|
|
gptkbp:can_be_used_for
|
predictive analytics
|
|
gptkbp:can_be_used_with
|
gptkb:Jupyter_Notebooks
|
|
gptkbp:developed_by
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gptkb:Amazon_Web_Services
|
|
gptkbp:enables
|
scalable inference solutions
|
|
gptkbp:facilitates
|
model deployment
|
|
gptkbp:has_documentation
|
AWS Documentation
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Amazon Sage Maker Inference Recommender
|
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gptkbp:integrates_with
|
gptkb:Sage
|
|
gptkbp:is_a_framework_for
|
gptkb:Tensor_Flow
gptkb:MXNet
gptkb:Py_Torch
|
|
gptkbp:is_accessible_by
|
gptkb:AWS_SDKs
gptkb:AWS_Management_Console
gptkb:AWS_CLI
|
|
gptkbp:is_available_in
|
multiple AWS regions
|
|
gptkbp:is_compatible_with
|
gptkb:Kubernetes
Docker containers
|
|
gptkbp:is_designed_for
|
developers and data scientists
|
|
gptkbp:is_effective_against
|
large enterprises
small businesses
startups
|
|
gptkbp:is_integrated_with
|
gptkb:AWS_Lambda
gptkb:Amazon_API_Gateway
|
|
gptkbp:is_optimized_for
|
low latency
high throughput
cost and performance
|
|
gptkbp:is_part_of
|
gptkb:AWS_Machine_Learning_ecosystem
cloud-based solutions
AI and ML services
Amazon Sage Maker suite
|
|
gptkbp:is_scalable
|
large datasets
|
|
gptkbp:is_supported_by
|
gptkb:AWS_Support
|
|
gptkbp:is_used_by
|
enterprises
|
|
gptkbp:is_used_for
|
data analysis
business intelligence
data science projects
data visualization
natural language processing
image classification
recommendation systems
anomaly detection
|
|
gptkbp:language_support
|
gptkb:Python
|
|
gptkbp:offers
|
monitoring capabilities
custom model hosting
recommendation for instance types
|
|
gptkbp:provides
|
security features
user-friendly interface
automated model tuning
|
|
gptkbp:provides_access_to
|
AWS infrastructure
|
|
gptkbp:provides_support_for
|
A/ B testing
|
|
gptkbp:supports
|
data privacy compliance
real-time inference
batch inference
|
|
gptkbp:uses
|
machine learning models
|
|
gptkbp:bfsParent
|
gptkb:Amazon_Web_Services_AI
|
|
gptkbp:bfsLayer
|
5
|