Dell PowerEdge C4140 Deep Learning Performance Comparison - Scale-up vs. Scale - Page 30

GB PCIe GPU and Configuration K with V100-16GB SXM2 GPU. The reason is in both

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Deep Learning Performance: Scale-up vs Scale-out 7.1.9.2 Single Node: 4GPU Figure 23 : PowerEdge C4140-B P100-16GB PCIe vs C4140-K V100-SXM2: 4GPU  As shown in the plots above in Figure 22 and Figure 23 there is not much difference in throughput (images/sec) when comparing PowerEdge C4140-Configuration B with V10016GB PCIe GPU and Configuration K with V100-16GB SXM2 GPU. The reason is in both configurations GPUs are in peer-peer mode behind PCIe Switch.  C4140-M shows higher performance compared to C4140-K when using either Intel Xeon CPU with 12 cores or Intel Xeon CPY with 20 cores. Architectures & Technologies Dell EMC | Infrastructure Solutions Group 29

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Deep Learning Performance: Scale-up vs Scale-out
Architectures & Technologies
Dell
EMC
| Infrastructure Solutions Group
29
7.1.9.2
Single Node: 4GPU
Figure 23 : PowerEdge C4140-B P100-16GB PCIe vs C4140-K V100-SXM2: 4GPU
As shown in the plots above in
Figure 22
and
Figure 23
there is not much difference in
throughput (images/sec) when comparing PowerEdge C4140-Configuration B with V100-
16GB PCIe GPU and Configuration K with V100-16GB SXM2 GPU. The reason is in both
configurations GPUs are in peer-peer mode behind PCIe Switch.
C4140-M shows higher performance compared to C4140-K when using either Intel Xeon
CPU with 12 cores or Intel Xeon CPY with 20 cores.