Dell PowerEdge C4140 Deep Learning Performance Comparison - Scale-up vs. Scale - Page 9
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Deep Learning Performance: Scale-up vs Scale-out The plot in Figure 3 shows GPU performance when looking at single precision and Figure 4 shows GPU performance when looking at half-precision. Most of the Deep Learning frameworks and models take advantage of half-precision since they can work with larger datasets with the available memory. It's very important to look at the raw Flop numbers for a GPU, since we want to extract the same level of performance when that GPU is put into a system. Figure 3 NVidia GPU Performance - Single precision [7] Architectures & Technologies Dell EMC | Infrastructure Solutions Group 8
![](/manual_guide/products/dell-poweredge-c4140-deep-learning-performance-comparison-scaleup-vs-scaleout-ccc37c0/9.png)
Deep Learning Performance: Scale-up vs Scale-out
Architectures & Technologies
Dell
EMC
| Infrastructure Solutions Group
8
The plot in
Figure 3
shows GPU performance when looking at single precision and
Figure 4
shows GPU performance when looking at half-precision. Most of the Deep Learning frameworks
and models take advantage of half-precision since they can work with larger datasets with the
available memory.
It’s
very important to look at the raw Flop numbers for a GPU, since we want
to extract the same level of performance when that GPU is put into a system.
Figure 3 NVidia GPU Performance - Single precision
[7]