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Deep Learning Performance: Scale-up vs Scale-out
Architectures & Technologies Dell EMC | Infrastructure Solutions Group
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converged faster than Inception-v4. On the other hand, the model VGG-19 didn’t produce
acceptable accuracy suggesting it requires over 90 epochs to converge.
Figure 38 below show comparable results for PowerEdge C4140-K (multi-node) – V100 SXM2
Figure 38: Training long tests to extract accuracy convergence and training time with PowerEdge C4140-
K multi-node and different models