gptkbp:instance_of
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gptkb:technology
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gptkbp:allows
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scalable inference
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gptkbp:can_be_combined_with
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other AWS services
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gptkbp:can_be_used_with
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pre-trained models
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gptkbp:developed_by
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gptkb:Amazon_Web_Services
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gptkbp:enables
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real-time predictions
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gptkbp:enhances
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model performance
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https://www.w3.org/2000/01/rdf-schema#label
|
Elastic Inference
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gptkbp:integrates_with
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gptkb:Amazon_EC2
gptkb:Sage
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gptkbp:is_accessible_by
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gptkb:AWS_SDKs
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gptkbp:is_available_for
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spot instances
different pricing models
various instance types
reserved instances
on-demand usage
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gptkbp:is_available_in
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multiple AWS regions
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gptkbp:is_compatible_with
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gptkb:AWS_Lambda
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gptkbp:is_designed_for
|
developers and data scientists
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gptkbp:is_effective_against
|
large-scale applications
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gptkbp:is_integrated_with
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gptkb:AWS_Cloud_Formation
gptkb:AWS_Cloud_Watch
gptkb:Identity_and_Access_Management
gptkb:AWS_Cloud_Trail
|
gptkbp:is_managed_by
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gptkb:AWS_Management_Console
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gptkbp:is_optimized_for
|
machine learning workloads
low-latency applications
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gptkbp:is_part_of
|
AWS cloud infrastructure
AWS AI services
AWS machine learning ecosystem
|
gptkbp:is_scalable
|
different workloads
|
gptkbp:is_supported_by
|
AWS documentation
AWS support
AWS forums
|
gptkbp:is_used_for
|
business intelligence
data processing
data visualization
real-time analytics
model training
|
gptkbp:is_used_in
|
various industries
|
gptkbp:is_utilized_for
|
image recognition
natural language processing
predictive analytics
recommendation systems
anomaly detection
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gptkbp:offers
|
flexible deployment options
|
gptkbp:provides
|
API access
accelerated inference for deep learning models
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gptkbp:reduces
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cost of inference
|
gptkbp:supports
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gptkb:Tensor_Flow
gptkb:Apache_MXNet
gptkb:Py_Torch
batch processing
|
gptkbp:uses
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GPU resources
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gptkbp:bfsParent
|
gptkb:Sage
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gptkbp:bfsLayer
|
5
|