Dell PowerEdge C4140 Deep Learning Performance Comparison - Scale-up vs. Scale - Page 19

Configuration B

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Deep Learning Performance: Scale-up vs Scale-out X16 IO Slot x16 x16 Configuration B CPU1 UPI CPU2 x16 PCIe Switch V100 PCIe V100 PCIe X16 IO Slot x16 x16 V100 PCIe V100 PCIe Figure 10 : PowerEdge C4140 Configuration B 5.2 PowerEdge R740/R740xd PCIe The PowerEdge R740/R740xd is a general-purpose platform with highly expandable memory (up to 3TB) and impressive I/O capability to match both read-intensive and write-intensive operations. The R740 is capable of handling demanding workloads and applications such as data warehouses, E-commerce, databases, high-performance computing (HPC), and Deep learning workloads. Figure 11 below shows the topology connection for CPU: GPU in PowerEdge R740/R740xd server. Architectures & Technologies Dell EMC | Infrastructure Solutions Group 18

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Deep Learning Performance: Scale-up vs Scale-out
Architectures & Technologies
Dell
EMC
| Infrastructure Solutions Group
18
CPU2
CPU1
x16
x16
x16
x16
UPI
Configuration B
PCIe Switch
x16
X16
IO
Slot
X16
IO
Slot
V100
PCIe
V100
PCIe
V100
PCIe
V100
PCIe
Figure 10 : PowerEdge C4140 Configuration B
5.2
PowerEdge R740/R740xd
The PowerEdge R740/R740xd is a general-purpose platform with highly expandable memory (up
to 3TB) and impressive I/O capability to match both read-intensive and write-intensive
operations. The R740 is capable of handling demanding workloads and applications such as data
warehouses, E-commerce, databases, high-performance computing (HPC), and Deep learning
workloads.
Figure 11
below shows the topology connection for CPU: GPU in PowerEdge R740/R740xd server.
PCIe