|
gptkbp:instanceOf
|
gptkb:AI_supercomputer
|
|
gptkbp:formFactor
|
rack-mounted
|
|
gptkbp:GPUArchitecture
|
gptkb:Volta
gptkb:Hopper
gptkb:Ampere
gptkb:Pascal
|
|
gptkbp:hardware
|
Nvidia GPUs
|
|
gptkbp:introduced
|
2016
|
|
gptkbp:manufacturer
|
gptkb:Nvidia
gptkb:Taiwan
gptkb:United_States
|
|
gptkbp:marketedAs
|
turnkey AI solution
|
|
gptkbp:network
|
gptkb:Ethernet
gptkb:InfiniBand
|
|
gptkbp:notableModel
|
gptkb:DGX-1
gptkb:DGX-2
gptkb:DGX_A100
gptkb:DGX_H100
|
|
gptkbp:operatingSystem
|
gptkb:Linux
|
|
gptkbp:processor
|
gptkb:AMD_EPYC
gptkb:Intel_Xeon
|
|
gptkbp:products
|
gptkb:Nvidia_EGX
gptkb:Nvidia_Grace_Hopper_Superchip
gptkb:Nvidia_HGX
|
|
gptkbp:productType
|
gptkb:DGX-1
gptkb:DGX-2
gptkb:DGX_A100
gptkb:DGX_H100
|
|
gptkbp:purpose
|
artificial intelligence research
deep learning
|
|
gptkbp:RAM
|
high-bandwidth memory
|
|
gptkbp:supports
|
gptkb:Nvidia_CUDA
gptkb:Nvidia_NVLink
gptkb:Nvidia_NVSwitch
gptkb:Nvidia_TensorRT
gptkb:Nvidia_cuDNN
|
|
gptkbp:targetMarket
|
enterprises
data scientists
AI researchers
|
|
gptkbp:technology
|
gptkb:Nvidia_Deep_Learning_SDK
gptkb:Nvidia_GPU_Cloud
|
|
gptkbp:usedBy
|
universities
research institutions
enterprises
|
|
gptkbp:usedFor
|
data analytics
AI inference
large-scale AI training
|
|
gptkbp:bfsParent
|
gptkb:Nvidia
|
|
gptkbp:bfsLayer
|
5
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Nvidia DGX
|