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3 Ways to Improve Azure Virtual Desktop Performance

Amol Dalvi
Nerdio

As remote work becomes a standard business practice, virtual desktops continue to gain popularity as a primary means of delivering data and applications to end users. Azure Virtual Desktop (AVD), for example, is seeing strong adoption due to its ease of deployment and its portal which enables desktop and application management from one interface. Enterprises can also control costs since they pay for virtual servers only when desktops are running, and can scale in or out depending on desktop needs. A recent survey indicated over half of the respondents (58%) expected to have AVD technology in production within two years.

Like many emerging platforms, AVD is still in its early days and IT pros are evolving, as well, in their approach to deploying and managing the service. The platform is seeing strong traction among SMB market enterprises of less than 1,000 users who like the scalability and related cost control features.

While AVD is gaining traction, IT teams are looking for ways to better deliver application performance and satisfy the end user's expectations of seamless productivity. The survey found the two biggest complaints from IT pros are slow application performance (47%) and slow logons (40%). Supporting video calls, more efficient monitoring of all AVD elements and solving latency problems are among other key issues.

Stepping Up Virtual Machine Performance

End users are on the front lines of experiencing sluggish virtual desktop performance. If it takes what feels like forever to do a simple task like opening up Word or Excel, IT will get unwanted help desk calls. For example, if your end users in a specific department are running intensive workloads, such as graphic design, confirm they are getting the right number of resources in terms of virtual machine (VM) compute power by having the optimum number of users in any one AVD host pool.

Microsoft has a guide for sizing session host VMs that makes a good point that IT needs to continually monitor VM usage, sizing up and down accordingly. If there are no graphics processing units (GPU) or graphics-intensive workloads, it is also recommended to stay with smaller VMs since they can be more easily updated — another performance related practice. With fewer users on one VM, it is more likely IT will find no one signed on and can shut it down to make updates as necessary if they are manually managing the environment.

Accommodating Multi-Media Environments

Zoom, Teams, intensive graphics use, and eventually more metaverse style collaboration, are all driving more performance concerns about latency, cloud costs, and the ability to provide an end user experience expected by Gen Z and Gen Y workers.

Stop-and-start video screens, too long video downloads; these are some examples in which latency detracts from performance. Since so many meetings are now video conferencing it's a good practice to run load and stress scenarios to ensure the remote desktop session will have adequate bandwidth to provide a satisfying experience.

Latency and quality of multimedia transmission is also affected by the connection round trip time (RTT) from the current location, through the AVD service to the Azure region in which IT can deploy VMs. Check AVD's estimator to determine the lowest RTT relevant to your users' location and make session host adjustments as needed.

Lastly, consider GPUs for better performance in video, 3D design and other graphics applications. AVD GPU virtual machines will enable graphics accelerated rendering and help AVD end users be more efficient and productive.

Monitoring all Performance Aspects

Improving AVD performance, or for that matter, any critical platform, depends on diligent monitoring. AVD offers native tools for monitoring and there are also third-party options to enhance monitoring and management. According to the survey, almost half of the IT pros say they need end-to-end monitoring that includes session hosts, control plane and Azure AD.

Further efficiency can be gained by using tools with a central dashboard that can record and analyze data in usage, active users, session host, CPUs, and other metrics to view performance and potentially identify cost savings. IT can have a per-user view to identify latency, use patterns and pinpoint application delays hampering performance.

To better load balance, IT can also view VM performance to ensure the number of users per host session is at an optimum level. Applications themselves can be analyzed to better understand user behavior and resource allocation.

Focusing on Performance

While AVD is still somewhat in the early adoption phase, performance themes are beginning to emerge. Fine tuning the allocation of users per host session and supplying employees with supportive technology like GPUs will help to diminish latency issues. Constantly monitoring and testing for performance issues and syncing with user behavior will, in the long term, create a solid foundation for using virtual desktops — the emerging go-to solution for a remote workforce.

Amol Dalvi is VP, Product, at Nerdio

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3 Ways to Improve Azure Virtual Desktop Performance

Amol Dalvi
Nerdio

As remote work becomes a standard business practice, virtual desktops continue to gain popularity as a primary means of delivering data and applications to end users. Azure Virtual Desktop (AVD), for example, is seeing strong adoption due to its ease of deployment and its portal which enables desktop and application management from one interface. Enterprises can also control costs since they pay for virtual servers only when desktops are running, and can scale in or out depending on desktop needs. A recent survey indicated over half of the respondents (58%) expected to have AVD technology in production within two years.

Like many emerging platforms, AVD is still in its early days and IT pros are evolving, as well, in their approach to deploying and managing the service. The platform is seeing strong traction among SMB market enterprises of less than 1,000 users who like the scalability and related cost control features.

While AVD is gaining traction, IT teams are looking for ways to better deliver application performance and satisfy the end user's expectations of seamless productivity. The survey found the two biggest complaints from IT pros are slow application performance (47%) and slow logons (40%). Supporting video calls, more efficient monitoring of all AVD elements and solving latency problems are among other key issues.

Stepping Up Virtual Machine Performance

End users are on the front lines of experiencing sluggish virtual desktop performance. If it takes what feels like forever to do a simple task like opening up Word or Excel, IT will get unwanted help desk calls. For example, if your end users in a specific department are running intensive workloads, such as graphic design, confirm they are getting the right number of resources in terms of virtual machine (VM) compute power by having the optimum number of users in any one AVD host pool.

Microsoft has a guide for sizing session host VMs that makes a good point that IT needs to continually monitor VM usage, sizing up and down accordingly. If there are no graphics processing units (GPU) or graphics-intensive workloads, it is also recommended to stay with smaller VMs since they can be more easily updated — another performance related practice. With fewer users on one VM, it is more likely IT will find no one signed on and can shut it down to make updates as necessary if they are manually managing the environment.

Accommodating Multi-Media Environments

Zoom, Teams, intensive graphics use, and eventually more metaverse style collaboration, are all driving more performance concerns about latency, cloud costs, and the ability to provide an end user experience expected by Gen Z and Gen Y workers.

Stop-and-start video screens, too long video downloads; these are some examples in which latency detracts from performance. Since so many meetings are now video conferencing it's a good practice to run load and stress scenarios to ensure the remote desktop session will have adequate bandwidth to provide a satisfying experience.

Latency and quality of multimedia transmission is also affected by the connection round trip time (RTT) from the current location, through the AVD service to the Azure region in which IT can deploy VMs. Check AVD's estimator to determine the lowest RTT relevant to your users' location and make session host adjustments as needed.

Lastly, consider GPUs for better performance in video, 3D design and other graphics applications. AVD GPU virtual machines will enable graphics accelerated rendering and help AVD end users be more efficient and productive.

Monitoring all Performance Aspects

Improving AVD performance, or for that matter, any critical platform, depends on diligent monitoring. AVD offers native tools for monitoring and there are also third-party options to enhance monitoring and management. According to the survey, almost half of the IT pros say they need end-to-end monitoring that includes session hosts, control plane and Azure AD.

Further efficiency can be gained by using tools with a central dashboard that can record and analyze data in usage, active users, session host, CPUs, and other metrics to view performance and potentially identify cost savings. IT can have a per-user view to identify latency, use patterns and pinpoint application delays hampering performance.

To better load balance, IT can also view VM performance to ensure the number of users per host session is at an optimum level. Applications themselves can be analyzed to better understand user behavior and resource allocation.

Focusing on Performance

While AVD is still somewhat in the early adoption phase, performance themes are beginning to emerge. Fine tuning the allocation of users per host session and supplying employees with supportive technology like GPUs will help to diminish latency issues. Constantly monitoring and testing for performance issues and syncing with user behavior will, in the long term, create a solid foundation for using virtual desktops — the emerging go-to solution for a remote workforce.

Amol Dalvi is VP, Product, at Nerdio

Hot Topics

The Latest

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...