Statements (33)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:personal_computer
|
| gptkbp:coreCount |
8
40960 |
| gptkbp:countryOfOrigin |
gptkb:United_States
|
| gptkbp:formFactor |
3U rackmount
|
| gptkbp:GPU |
gptkb:NVIDIA_Tesla_V100
gptkb:NVIDIA_Tesla_P100 |
| https://www.w3.org/2000/01/rdf-schema#label |
DGX-1
|
| gptkbp:manufacturer |
gptkb:NVIDIA
|
| gptkbp:MaxPowerConsumption |
3200W
|
| gptkbp:Network |
2 x 10 GbE
|
| gptkbp:operatingSystem |
gptkb:Ubuntu_Linux
|
| gptkbp:powerSource |
3200W redundant
|
| gptkbp:processor |
gptkb:Intel_Xeon_E5-2698_v3
|
| gptkbp:productType |
deep learning system
|
| gptkbp:Purpose |
gptkb:machine_learning
AI research deep learning training |
| gptkbp:RAM |
512 GB DDR4
|
| gptkbp:releaseDate |
2016
|
| gptkbp:SoftwareStack |
gptkb:CUDA
gptkb:TensorRT gptkb:cuDNN gptkb:NVIDIA_GPU_Cloud |
| gptkbp:storage |
4 x 1.92 TB SSD
|
| gptkbp:successor |
gptkb:DGX-2
|
| gptkbp:targetMarket |
gptkb:business
research institutions |
| gptkbp:Tensor_Cores |
5120
|
| gptkbp:weight |
134 lbs
|
| gptkbp:bfsParent |
gptkb:NVIDIA_DGX
gptkb:Nvidia_DGX |
| gptkbp:bfsLayer |
6
|