Administrator Guide

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3 | Direct from Development
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4. Tesla M10
The M10 will best accelerate Virtual Desktop Infrastructure (VDI) and mainstream
graphics applications. This legacy GPU has maintained popularity with customers
due to its large 32GB memory capacity and affordable price point, giving it a
compelling TCO for VDI and mainstream graphics.
For VDI applications, we suggest running the M10 on a PowerEdge server that has
enough CPU cores, memory and PCIe cores to support a large number of virtual
desktop users, such as the R7425. For mainstream graphics we suggest a 2U
PowerEdge server that has a high frequency CPU and adequate PCIe slots for
population, such as the R740 or R740xd.
Conclusion
The NVIDIA GPU catalog offers a wide variety of GPU models that were designed to accelerate diverse
workloads. A properly configured server will enable the workloads to utilize the capabilities of a GPU working in
concert with other system components to yield the best performance. In this DfD we have discussed the value
proposition of four popular NVIDIA GPU models, as well as what Dell EMC servers and workloads would work
best for each.
Learn More
DellEMC GPU eBook
Demystifying Deep Learning Infrastructure Choices using MLPerf Benchmark Suite
HPC at Dell
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Supported Workloads: VDI, Mainstream Graphics, IVA, AI Training, AI
Inference, General Purpose Computing
Recommended Workloads: VDI, Mainstream Graphics
Recommended PowerEdge Servers: R740, R740xd, R7425
Figure 6 – M10 specifications