|
gptkbp:instance_of
|
gptkb:Amazon_Web_Services
gptkb:System_on_Chip
|
|
gptkbp:architecture
|
custom silicon
|
|
gptkbp:available_at
|
gptkb:AWS_Marketplace
|
|
gptkbp:available_in
|
AWS regions
|
|
gptkbp:competes_with
|
gptkb:Google_TPU
gptkb:NVIDIA_GPUs
|
|
gptkbp:designed_for
|
machine learning inference
|
|
gptkbp:developed_by
|
gptkb:Amazon_Web_Services
gptkb:enterprise_solutions
|
|
gptkbp:enables
|
real-time predictions
scalable AI applications
|
|
gptkbp:enhances
|
model performance
|
|
gptkbp:features
|
multiple cores
high memory bandwidth
dedicated hardware accelerators
|
|
gptkbp:first_released
|
gptkb:2019
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
AWS Inferentia
|
|
gptkbp:improves
|
resource efficiency
|
|
gptkbp:integrates_with
|
gptkb:AWS_Lambda
gptkb:Amazon_EC2
gptkb:Sage
|
|
gptkbp:is_a_framework_for
|
gptkb:MXNet
|
|
gptkbp:is_available_in
|
multiple AWS regions
multiple instance types
|
|
gptkbp:is_compatible_with
|
gptkb:AWS_Cloud_Formation
gptkb:AWS_SDKs
gptkb:AWS_Batch
gptkb:AWS_Lambda
gptkb:AWS_Fargate
gptkb:AWS_CLI
gptkb:AWS_Elastic_Beanstalk
gptkb:AWS_Code_Deploy
gptkb:AWS_Code_Pipeline
|
|
gptkbp:is_designed_for
|
computer vision
high-performance computing
natural language processing
AI applications
recommendation systems
|
|
gptkbp:is_designed_to
|
reduce latency
support large-scale deployments
handle large models
|
|
gptkbp:is_effective_against
|
large-scale deployments
|
|
gptkbp:is_integrated_with
|
gptkb:Amazon_EC2
gptkb:AWS_Sage_Maker
|
|
gptkbp:is_optimized_for
|
batch processing
AI workloads
deep learning workloads
streaming inference
|
|
gptkbp:is_part_of
|
AWS cloud infrastructure
AWS ecosystem
AWS AI services
AWS Inferentia chip family
AWS Inferentia family
AWS ML stack
|
|
gptkbp:is_scalable
|
thousands of instances
up to thousands of instances
|
|
gptkbp:is_supported_by
|
AWS documentation
AWS support services
|
|
gptkbp:is_tested_for
|
real-world applications
|
|
gptkbp:is_used_by
|
large enterprises
research institutions
startups
|
|
gptkbp:is_used_for
|
image recognition
natural language processing
speech recognition
recommendation systems
video analysis
|
|
gptkbp:is_used_in
|
gptkb:Telecommunications
gptkb:transportation
gptkb:financial_services
healthcare
various industries
retail
|
|
gptkbp:offers
|
cost-effective inference
up to 16 TOPS
|
|
gptkbp:performance
|
low latency
high throughput
|
|
gptkbp:provides
|
high availability
low latency
flexible deployment options
cost-effective inference
scalable inference solutions
|
|
gptkbp:provides_support_for
|
gptkb:Oni
|
|
gptkbp:reduces
|
inference costs
|
|
gptkbp:released_in
|
gptkb:2019
|
|
gptkbp:security
|
AWS security features
|
|
gptkbp:supports
|
gptkb:Tensor_Flow
gptkb:MXNet
gptkb:Py_Torch
ONNX models
|
|
gptkbp:target_market
|
gptkb:developers
gptkb:cloud_computing
data scientists
enterprises
|
|
gptkbp:use_case
|
deep learning models
|
|
gptkbp:uses
|
Neural Network models
|
|
gptkbp:utilizes
|
neural network accelerators
|
|
gptkbp:bfsParent
|
gptkb:Amazon_Sage_Maker_Neo
gptkb:Amazon_Web_Services_AI
|
|
gptkbp:bfsLayer
|
5
|