Statements (27)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:workstation
|
| gptkbp:coolingSystem |
liquid cooled
|
| gptkbp:coreCount |
4
|
| gptkbp:designedFor |
AI research
deep learning |
| gptkbp:firstReleased |
2017
|
| gptkbp:formFactor |
desktop
|
| gptkbp:GPU |
gptkb:Nvidia_Tesla_V100
|
| gptkbp:manufacturer |
gptkb:Nvidia
|
| gptkbp:network |
10 Gb Ethernet
|
| gptkbp:notableFeature |
desk-side AI supercomputer
|
| gptkbp:operatingSystem |
gptkb:Ubuntu_Linux
|
| gptkbp:powerSource |
1500W
|
| gptkbp:processor |
gptkb:Intel_Xeon_E5-2698_v4
|
| gptkbp:productType |
gptkb:Nvidia_DGX
|
| gptkbp:RAM |
256 GB DDR4 ECC
|
| gptkbp:storage |
3.84 TB SSD
|
| gptkbp:successor |
Nvidia DGX Station A100
|
| gptkbp:supports |
gptkb:Nvidia_GPU_Cloud
gptkb:Nvidia_CUDA gptkb:Nvidia_cuDNN |
| gptkbp:targetMarket |
data scientists
AI developers |
| gptkbp:weight |
approximately 88 lbs
|
| gptkbp:bfsParent |
gptkb:Nvidia_DGX_systems
|
| gptkbp:bfsLayer |
7
|
| http://www.w3.org/2000/01/rdf-schema#label |
Nvidia DGX Station
|