What is the difference between D4ads_v5 and D4ds_v5 VM

Question

I need a virtual machine with at least 4 cores and 4 gig of RAM with AVX2 support, while looking for the size, I found D4ads_V5 and D4ds_V5 but could not find the difference between the two except their price. Can anyone help me with this?

Answer 1

Hi @Rashabh Kumar ,

the difference between D4ads_v5 and D4ds_v5 VM are the CPU of the host running the VMS:

Standard_D4ads_v5 using AMD's 3rd Generation EPYCTM 7763v processors on the host system.
https://learn.microsoft.com/en-us/azure/virtual-machines/dasv5-dadsv5-series#dadsv5-series

D4ds_v5 using Intel® Xeon® Platinum 8370C (Ice Lake) processor
https://learn.microsoft.com/en-us/azure/virtual-machines/ddv5-ddsv5-series#ddsv5-series

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Regards
Andreas Baumgarten

Answer 2

Hello @Rashabh Kumar ,

Thank you for reaching out to the Microsoft Q&A platform. Happy to answer your question.

The major difference between D4ads_v5 and D4ds_v5 VM SKUs is the additive feature 'a' stands for AMD-based processor which D4ads_v5 has and D4ds_v5 doesn't.
To understand the naming convention, please look at vm-naming-conventions

Additive Features One or more lower case letters denote additive features, such as:
a = AMD-based processor
d = diskful (i.e., a local temp disk is present); this is for newer Azure VMs, see Ddv4 and Ddsv4-series
i = isolated size
l = low memory; a lower amount of memory than the memory intensive size
m = memory intensive; the most amount of memory in a particular size
t = tiny memory; the smallest amount of memory in a particular size
s = Premium Storage capable, including possible use of Ultra SSD (Note: some newer sizes without the attribute of s can still support Premium Storage e.g. M128, M64, etc.)
Other than that, another slight veriation is in Max uncached disk throughput: IOPS/MBps and Max burst uncached disk throughput: IOPS/MBps

Specific Question:
I need a virtual machine with at least 4 cores and 4 gig of RAM with AVX2 support.
We don't have a SKU that matches this exact requirement, the suggestion is to use a SKU that is closer to the required configuration in terms of compute resources.

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