Citrix DaaS in Azure on AMD Compute
August 15, 2023
This paper is a joint effort between Microsoft, Citrix, and AMD to help consumers make better decisions on selecting instance types within Azure for hosting their Citrix Workloads. The goals of this document include determining the most efficient instance types to host Citrix DaaS workloads and providing guidance for customers when selecting AMD compute instances, with or without GPUs, within Azure.
Testing results using Login Enterprise showed that Windows 10 multi-session instances accommodated 30% fewer users than Windows Server operating systems (Server 2019 or 2022). End User Experience (EUX) scores remained relatively consistent across the operating system types. While the most cost-efficient instance type for the Knowledge worker is the D4as_v5, the recommendation is to use the D8as_v5 instance type and take advantage of the better user experience for a fraction of a cent more per hour.
A single GPU can be effectively shared across multiple sessions. However, determining which instance type to use depends mainly on the GPU type of workload.
AMDAzureBenchmarksCitrixGPU
