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Featuring 3rd Generation Intel Xeon Scalable processors
and up to four NVIDIA A100 40GB PCIe GPUs
Scale your VDI users performing
compute‑heavy machine learning tasks
with the Dell EMC PowerEdge R750xa
Learn more at http://facts.pt/y8wl0M3
The Dell EMC PowerEdge R750xa
with the NVIDIA A100 Tensor Core GPU
The PowerEdge R750xa is the Dell EMC flagship
server for GPU-based workloads. Powered by 3rd
Generation Intel®
Xeon®
Scalable processors, the
server supports up to four of the newest NVIDIA®
GPUs (such as A100, A40, A30, and A10) as well as
Gen 3 GPUs (such as M10 and T4).1
Maximum concurrent DSKW VDI sessions
VDI users | Higher is better
Dell EMC PowerEdge R750xa with 2 GPUs
Dell EMC PowerEdge R750xa with 4 GPUs
20
40
VMware ESXi™
CPU usage
Percentage | Lower is better
Dell EMC PowerEdge R750xa with 2 GPUs
76%
88%
Dell EMC PowerEdge R750xa with 4 GPUs
VMware ESXi memory usage
Percentage | Lower is better
Dell EMC PowerEdge R750xa with 2 GPUs
28%
56%
Dell EMC PowerEdge R750xa with 4 GPUs
Support remote data
science knowledge workers
with heavy compute needs
In each test, the Dell EMC™
PowerEdge™
R750xa server
supported the maximum number of
simulated VDI users per GPU (10).
Each user ran a compute-intensive
machine learning workload through
a virtual desktop.
Customize GPU count to
balance resources
Companies supporting workers with
a variety of needs could reserve
some CPU power for non-data
science workers by choosing servers
with two GPUs instead of four.
Get powerful GPU
compute while saving
memory resources
The two-GPU configuration of the
PowerEdge R750xa saved significant
memory usage. Companies who
don’t need four GPUs for every server
they purchase may find a two-GPU
solution yields more memory to their
workforce at large.
Principled
Technologies®
1  “Configuration details,” accessed August 11, 2021, https://infohub.delltechnologies.com/l/mlperf-tm-inference-v1-0-nvid-
ia-gpu-based-benchmarks-on-dell-emc-poweredge-r750xa-servers/configuration-details-44.
Copyright 2021 Principled Technologies, Inc. Based on “Scale your VDI users performing compute‑heavy machine learning
tasks with the Dell EMC PowerEdge R750xa,” a Principled Technologies report, August 2021. Principled Technologies®
is a
registered trademark of Principled Technologies, Inc. All other product names are the trademarks of their respective owners.

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Scale your VDI users performing compute-heavy machine learning tasks with the Dell EMC PowerEdge R750xa - Infographic

  • 1. Featuring 3rd Generation Intel Xeon Scalable processors and up to four NVIDIA A100 40GB PCIe GPUs Scale your VDI users performing compute‑heavy machine learning tasks with the Dell EMC PowerEdge R750xa Learn more at http://facts.pt/y8wl0M3 The Dell EMC PowerEdge R750xa with the NVIDIA A100 Tensor Core GPU The PowerEdge R750xa is the Dell EMC flagship server for GPU-based workloads. Powered by 3rd Generation Intel® Xeon® Scalable processors, the server supports up to four of the newest NVIDIA® GPUs (such as A100, A40, A30, and A10) as well as Gen 3 GPUs (such as M10 and T4).1 Maximum concurrent DSKW VDI sessions VDI users | Higher is better Dell EMC PowerEdge R750xa with 2 GPUs Dell EMC PowerEdge R750xa with 4 GPUs 20 40 VMware ESXi™ CPU usage Percentage | Lower is better Dell EMC PowerEdge R750xa with 2 GPUs 76% 88% Dell EMC PowerEdge R750xa with 4 GPUs VMware ESXi memory usage Percentage | Lower is better Dell EMC PowerEdge R750xa with 2 GPUs 28% 56% Dell EMC PowerEdge R750xa with 4 GPUs Support remote data science knowledge workers with heavy compute needs In each test, the Dell EMC™ PowerEdge™ R750xa server supported the maximum number of simulated VDI users per GPU (10). Each user ran a compute-intensive machine learning workload through a virtual desktop. Customize GPU count to balance resources Companies supporting workers with a variety of needs could reserve some CPU power for non-data science workers by choosing servers with two GPUs instead of four. Get powerful GPU compute while saving memory resources The two-GPU configuration of the PowerEdge R750xa saved significant memory usage. Companies who don’t need four GPUs for every server they purchase may find a two-GPU solution yields more memory to their workforce at large. Principled Technologies® 1  “Configuration details,” accessed August 11, 2021, https://infohub.delltechnologies.com/l/mlperf-tm-inference-v1-0-nvid- ia-gpu-based-benchmarks-on-dell-emc-poweredge-r750xa-servers/configuration-details-44. Copyright 2021 Principled Technologies, Inc. Based on “Scale your VDI users performing compute‑heavy machine learning tasks with the Dell EMC PowerEdge R750xa,” a Principled Technologies report, August 2021. Principled Technologies® is a registered trademark of Principled Technologies, Inc. All other product names are the trademarks of their respective owners.