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Difference between revisions of "nervana/nnp"
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== Overview == | == 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. | |
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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 15:59, 15 April 2019
Neural Network Processors (NNP) are a family of neural processors designed by Intel Nervana for both inference and training.
Contents
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
This section is empty; you can help add the missing info by editing this page. |
Inference (NNP-I)
NNP I-1000 Series
This section is empty; you can help add the missing info by editing this page. |
See also
Facts about "Neural Network Processors (NNP) - Intel Nervana"
designer | Intel + |
first announced | May 23, 2018 + |
first launched | 2019 + |
full page name | nervana/nnp + |
instance of | integrated circuit family + |
main designer | Intel + |
manufacturer | Intel + and TSMC + |
name | NNP + |
package | PCIe x16 Gen 3 Card +, OCP OAM + and M.2 + |
process | 28 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) + |
technology | CMOS + |