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Delivering High-Application Performance via Thin Clients

Jeff Kalberg

Recent industry reports estimate the global digital transformation market to reach almost $432 billion by 2021 as enterprises employ social media channels, mobile applications and other digital technologies to compete better and more closely engage the consumer. Digital transformation is evolving the enterprise to one in which high performance applications are now the norm as organizations use video, graphics and other information intensive multimedia to populate these new channels of engagement.

Digital technologies, and high performance applications, create further pressure on IT staffs which are grappling with PCs that are past their optimum performance. As a result, IT is looking at alternatives to swapping out PCs and investing in more costly equipment that will inevitably have an expiration date. One solution is to build on virtualization solutions that incorporate high-performance thin clients.

In the past IT looked at thin clients with little expectation beyond doing much more than the simplest graphically intensive task, perceiving that their performance fell short of the PC. Technology and the marketplace have since changed drastically. Virtualization and dramatic improvements in remote display technology have enabled a more secure thin client approach to deliver an end user experience that more than rivals that of the traditional PC desktop.

What’s more, when we think about thin client technology as software, we realize that we have an option to repurpose existing desktop PCs, laptops and other devices, extending their useful life as software-defined thin clients.

In terms of the marketplace, IT wants a nimble environment that supports a mobile workforce using multiple different devices in a single day, often at different locations. The thin client of today is a solution that supports this mobile, digitally-centric user.

Thin clients can now deliver high-application performance and functionality for IT that enables digital transformation and releases the dependence on PCs. Here are a few considerations:

1. Video and Graphically-Intensive Applications

A key element to this delivery is the adoption of industry-standard codecs for remote display technology. Citrix HDX, VMware Blast Extreme, Microsoft RemoteFX and NoMachine NX all leverage industry-standard H.264 video compression, which can in turn be hardware-accelerated, yielding a high-fidelity desktop and/or application experience to the end user.

2. Advanced Graphics Processing

Advanced graphics processing units (or GPUs) provide the compute power in the data center to rapidly calculate and provide display instructions for remote display devices. Today’s thin clients, which are built on System on Chip technology, provide the ability to efficiently decode remote display instructions using dedicated graphics media processors, to deliver an immersive, high-quality user experience to virtual desktops and apps, for both mobile and on site workers.

3. Image Quality Control

Audio and video applications must have codecs that are "lossless," enabling images to be compressed, and decompressed without a loss in quality. Thin clients should support MP3, WMA and AAC for audio; WMV (VC1) | H264 | MPEG-4 | MPEG-2 for video.

4. Streamlined Management

Unlike the traditional PC, thin clients are fast to set up, easy to manage and unique in their security design. They can be centrally updated, remotely controlled and even switched off and on by a centralized administrator, making them ideal for distributed worksites or remote users. As many as 100,000 devices can be managed from a single console, significantly lowering management costs and simplifying policy control.

5. Conversion Savings

With hardware and software-defined thin clients offering advanced performance, it’s now worth considering turning those dinosaur PCs and notebooks into thin client devices, whether replacing those devices with traditional thin client hardware or extending the useful life of existing IT assets and rejuvenating the performance of the end-user experience.

Thin client technology has advanced to the point it is actually a better match for today’s organizations who need to stay one step ahead of digital transformation in order to succeed. Thin clients, with high-application performance functionality, can support the myriad of digital technologies that come with digital transformation, and they are uniquely equipped to respond quickly, freed from the slow, expensive process of swapping PCs.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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 ...

Delivering High-Application Performance via Thin Clients

Jeff Kalberg

Recent industry reports estimate the global digital transformation market to reach almost $432 billion by 2021 as enterprises employ social media channels, mobile applications and other digital technologies to compete better and more closely engage the consumer. Digital transformation is evolving the enterprise to one in which high performance applications are now the norm as organizations use video, graphics and other information intensive multimedia to populate these new channels of engagement.

Digital technologies, and high performance applications, create further pressure on IT staffs which are grappling with PCs that are past their optimum performance. As a result, IT is looking at alternatives to swapping out PCs and investing in more costly equipment that will inevitably have an expiration date. One solution is to build on virtualization solutions that incorporate high-performance thin clients.

In the past IT looked at thin clients with little expectation beyond doing much more than the simplest graphically intensive task, perceiving that their performance fell short of the PC. Technology and the marketplace have since changed drastically. Virtualization and dramatic improvements in remote display technology have enabled a more secure thin client approach to deliver an end user experience that more than rivals that of the traditional PC desktop.

What’s more, when we think about thin client technology as software, we realize that we have an option to repurpose existing desktop PCs, laptops and other devices, extending their useful life as software-defined thin clients.

In terms of the marketplace, IT wants a nimble environment that supports a mobile workforce using multiple different devices in a single day, often at different locations. The thin client of today is a solution that supports this mobile, digitally-centric user.

Thin clients can now deliver high-application performance and functionality for IT that enables digital transformation and releases the dependence on PCs. Here are a few considerations:

1. Video and Graphically-Intensive Applications

A key element to this delivery is the adoption of industry-standard codecs for remote display technology. Citrix HDX, VMware Blast Extreme, Microsoft RemoteFX and NoMachine NX all leverage industry-standard H.264 video compression, which can in turn be hardware-accelerated, yielding a high-fidelity desktop and/or application experience to the end user.

2. Advanced Graphics Processing

Advanced graphics processing units (or GPUs) provide the compute power in the data center to rapidly calculate and provide display instructions for remote display devices. Today’s thin clients, which are built on System on Chip technology, provide the ability to efficiently decode remote display instructions using dedicated graphics media processors, to deliver an immersive, high-quality user experience to virtual desktops and apps, for both mobile and on site workers.

3. Image Quality Control

Audio and video applications must have codecs that are "lossless," enabling images to be compressed, and decompressed without a loss in quality. Thin clients should support MP3, WMA and AAC for audio; WMV (VC1) | H264 | MPEG-4 | MPEG-2 for video.

4. Streamlined Management

Unlike the traditional PC, thin clients are fast to set up, easy to manage and unique in their security design. They can be centrally updated, remotely controlled and even switched off and on by a centralized administrator, making them ideal for distributed worksites or remote users. As many as 100,000 devices can be managed from a single console, significantly lowering management costs and simplifying policy control.

5. Conversion Savings

With hardware and software-defined thin clients offering advanced performance, it’s now worth considering turning those dinosaur PCs and notebooks into thin client devices, whether replacing those devices with traditional thin client hardware or extending the useful life of existing IT assets and rejuvenating the performance of the end-user experience.

Thin client technology has advanced to the point it is actually a better match for today’s organizations who need to stay one step ahead of digital transformation in order to succeed. Thin clients, with high-application performance functionality, can support the myriad of digital technologies that come with digital transformation, and they are uniquely equipped to respond quickly, freed from the slow, expensive process of swapping PCs.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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 ...