Dell PowerEdge C4140 Deep Learning Performance Comparison - Scale-up vs. Scale - Page 23

Performance Results

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Deep Learning Performance: Scale-up vs Scale-out 7 Performance Results 7.1 Single Node - Throughput (images/sec) The charts below show the results for different servers running the short tests to extract throughput images/second using ResNet50 with batch size 128 and number of steps =100. The results for single node are with maximum number of GPUs supported within that node. 7.1.1 PowerEdge R740xd Figure 15: PowerEdge R740-P40 server with up to 3 GPUs The PowerEdge R740 with P40 GPU is tested with different pre-trained neural models. The results show how different models use the amount of available memory e.g. ResNet50 uses more memory than GoogLeNet or AlexNet and therefore we see lower throughput. Architectures & Technologies Dell EMC | Infrastructure Solutions Group 22

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Deep Learning Performance: Scale-up vs Scale-out
Architectures & Technologies
Dell
EMC
| Infrastructure Solutions Group
22
7
Performance Results
7.1
Single Node
–
Throughput (images/sec)
The charts below show the results for different servers running the
short tests
to extract
throughput images/second using ResNet50 with batch size 128 and number of steps =100.
The results for single node are with maximum number of GPUs supported within that node.
7.1.1
PowerEdge R740xd
Figure 15: PowerEdge R740-P40 server with up to 3 GPUs
The PowerEdge R740 with P40 GPU is tested with different pre-trained neural models. The results
show how different models use the amount of available memory e.g. ResNet50 uses more
memory than GoogLeNet or AlexNet and therefore we see lower throughput.