Deployment Guide

Component overview
11 VMware vSphere Bitfusion on Dell EMC PowerEdge servers | Deployment guide
3.4 Dell EMC Networking S5248F-ON Switch
The S5200F-ON series introduces optimized 25GbE and 100GbE open networking connectivity for
servers/storage in demanding web and cloud environments. Innovative next-generation top-of-rack family of
25GbE switches providing optimized performance both in-rack and between-racks, cost-effective 50/100GbE
leaf/spine fabric, and migration capabilities for future connectivity needs.
Key capabilities:
• 48 port 10/25GbE SFP28 auto negotiating ports
• 4 port 100GbE QSFP28
• 2 port 2 x 100 QSFPDD-28
Front view of Dell PowerSwitch S5248F-ON
3.5 NVIDIA T4 Datacenter GPU
The NVIDIA® T4 is a single-slot, low-profile, 6.6-inch PCI Express Gen3 Universal Deep Learning Accelerator
based on the TU104 NVIDIA graphics processing unit (GPU). The T4 has 16 GB GDDR6 memory and a 70
W maximum power limit. The T4 is offered as a passively cooled board that requires system air flow to
operate the card within its thermal limits.
NVIDIA T4 GPU
3.6 NVIDIA V100 for NVLINK and PCIe, Datacenter GPU
The NVIDIA V100 GPU powered by NVIDIA Volta architecture is the most widely used accelerator for
scientific computing and artificial intelligence. NVIDIA® V100 Tensor Core is the most advanced data center
GPU ever built to accelerate AI, data science. It’s powered by NVIDIA Volta architecture, comes in 16 and
32GB configurations, and offers the performance of up to 32 CPUs in a single GPU. Deep Learning training
workloads can leverage NVLink capability of the V100 SXM2 GPUs on the C4140 with NVLink. Using the
V100 SXM2 GPU with the NVLink capabilities enables direct communication between GPUs with bandwidth
of up to 300GB/s; further increasing performance of AI training workloads.