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(Overview)
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== Overview ==
 
== Overview ==
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Neural network processors (NNP) are a family of [[neural processors]] designed by [[Intel]] for the [[acceleration]] of [[artificial intelligence]] workloads. The design initially originated by [[Nervana]] prior to their acquisition by [[Intel]]. Intel eventually productized those chips starting with their second-generation designs.
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The NNP family comprises two separate series - '''NNP-I''' for [[inference]] and '''NNP-L''' for [[training]].
  
 
== Learning (NNP-L) ==
 
== Learning (NNP-L) ==

Revision as of 16:59, 15 April 2019

NNP
intel nervana inside.png
Developer Intel
Manufacturer Intel, TSMC
Type Neural Processors
Introduction May 23, 2018 (announced)
2019 (launch)
Process 28 nm
0.028 μm
2.8e-5 mm
, 16 nm
0.016 μm
1.6e-5 mm
, 10 nm
0.01 μm
1.0e-5 mm
Technology CMOS
Package PCIe x16 Gen 3 Card, OCP OAM, M.2

Neural Network Processors (NNP) are a family of neural processors designed by Intel Nervana for both inference and training.

Overview

Neural network processors (NNP) are a family of neural processors designed by Intel for the acceleration of artificial intelligence workloads. The design initially originated by Nervana prior to their acquisition by Intel. Intel eventually productized those chips starting with their second-generation designs.

The NNP family comprises two separate series - NNP-I for inference and NNP-L for training.

Learning (NNP-L)

NNP L-1000 Series

New text document.svg This section is empty; you can help add the missing info by editing this page.

Inference (NNP-I)

NNP I-1000 Series

New text document.svg This section is empty; you can help add the missing info by editing this page.

See also

designerIntel +
first announcedMay 23, 2018 +
first launched2019 +
full page namenervana/nnp +
instance ofintegrated circuit family +
main designerIntel +
manufacturerIntel + and TSMC +
nameNNP +
packagePCIe x16 Gen 3 Card +, OCP OAM + and M.2 +
process28 nm (0.028 μm, 2.8e-5 mm) +, 16 nm (0.016 μm, 1.6e-5 mm) + and 10 nm (0.01 μm, 1.0e-5 mm) +
technologyCMOS +