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gptkbp:instance_of
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gptkb:microprocessor
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gptkbp:application
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gptkb:Computer_Vision
gptkb:Natural_Language_Processing
gptkb:machine_learning
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gptkbp:architecture
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gptkb:neural_networks
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gptkbp:client
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gptkb:Twitter
gptkb:Airbnb
gptkb:Alibaba
gptkb:Linked_In
gptkb:Lyft
gptkb:Pinterest
gptkb:Snapchat
gptkb:Uber
gptkb:Adobe
gptkb:Baidu
gptkb:IBM
gptkb:Microsoft
gptkb:SAP
gptkb:Spotify
gptkb:Amazon
gptkb:Google
gptkb:Netflix
gptkb:NVIDIA
gptkb:Salesforce
gptkb:Tencent
gptkb:Facebook
gptkb:Salesforce_Einstein
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gptkbp:collaboration
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Partnerships with AI startups
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gptkbp:compatibility
|
Compatible with Intel architecture
Compatible with various AI software tools
Compatible with Intel CPUs
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gptkbp:developed_by
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gptkb:Intel_Corporation
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gptkbp:features
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Support for deep learning frameworks
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gptkbp:form_factor
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gptkb:Chip
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gptkbp:has_a_focus_on
|
Deep learning optimization
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|
https://www.w3.org/2000/01/rdf-schema#label
|
Intel Nervana Processors
|
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gptkbp:innovation
|
AI acceleration technology
|
|
gptkbp:integration
|
Intel architecture ecosystem
|
|
gptkbp:key_feature
|
Scalability
|
|
gptkbp:market_launch
|
gptkb:2018
|
|
gptkbp:market_segment
|
Data centers
|
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gptkbp:memory_type
|
gptkb:High_Bandwidth_Memory_(HBM)
|
|
gptkbp:performance
|
High throughput for AI workloads
Used in AI research projects
FP16 and INT8 operations
|
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gptkbp:power_consumption
|
Optimized for energy efficiency
|
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gptkbp:programming_language
|
gptkb:Open_VINO
|
|
gptkbp:release_date
|
gptkb:2017
|
|
gptkbp:released
|
Intel AI Developer Forum 2017
|
|
gptkbp:successor
|
gptkb:Intel_Xeon_Scalable_Processors
|
|
gptkbp:support
|
gptkb:Tensor_Flow
gptkb:Caffe
gptkb:Py_Torch
|
|
gptkbp:target_market
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gptkb:Artificial_Intelligence
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gptkbp:bfsParent
|
gptkb:Nervana_Neural_Network
|
|
gptkbp:bfsLayer
|
7
|