Your Cloud Desktop Is Running on Yesterday’s Silicon

5 min read

A LinkedIn post last week sparked a question I have been thinking about for a while: are hyperscaler price increases really imminent, and what does that mean for virtual desktops and cloud-delivered EUC? The short answer is yes and the reason is baked into the economics of server hardware depreciation. To understand why, you need to know exactly which CPUs run your cloud desktops, when those chips were made, and what the lifecycle math looks like.

Let me pull back the curtain.

The Top EUC Instances Across the Big Three

For Azure, AWS, and GCP, there are three instance families each that dominate real-world EUC deployments covering everything from Windows 365 and AVD knowledge workers through to GPU-accelerated creative workstations. Here is what is actually running under the hood.


Cloud instance comparison table showing EUC instance families across Microsoft Azure, Amazon AWS and Google Cloud with CPU generations and age badges
Click to enlarge

Notice anything? With one or two exceptions, the CPUs powering the most common EUC instances across all three hyperscalers were designed and manufactured between 2019 and 2021. Some of the most widely used GPU instances, AWS G4dn and G5, Azure NVv4, are running on the same Cascade Lake and EPYC Rome chips that arrived when on-premises VDI was still the default conversation.

How Old Is Old? A CPU Timeline

To understand why this matters, let me be precise about when these processor generations came to market, when they landed in cloud instances, and where they sit in the depreciation cycle today.
Timeline showing CPU generations from Intel Cascade Lake and AMD EPYC Rome in 2019 through price increases in 2025-2026, with colored badges per cloud provider

Click to enlarge

The Depreciation Math

Here is where the hyperscaler business model becomes legible. Servers are typically depreciated over five to seven years on a straight-line basis. A rack of Cascade Lake servers purchased in 2019 for say $30,000 per unit would be fully written off by 2024–2026. After that point, the hardware runs at near-zero book value. Every dollar of compute revenue from that rack is almost pure margin.
CPU depreciation table showing Intel and AMD generations from 2019-2022 with depreciation status and margin phase

Click to enlarge

The pattern is stark. Cascade Lake and Rome, the CPUs used in the most common EUC instances, are at or beyond full depreciation. Hyperscalers have been running those boxes as pure profit machines for one to two years already. And they have not dropped the price to reflect the declining book value of the underlying hardware.

Analysis from 2022 to 2024 shows that cloud prices rose faster than inflation, while what customers receive for their money remained unchanged. That is not an accident. It is the model.

What happens next is the squeeze. When hyperscalers are finally forced to refresh because older silicon starts failing, because the power draw becomes untenable, because customers demand newer hardware, they will be deploying far more expensive AMD Genoa/Turin or Intel Sapphire Rapids/Emerald Rapids servers. The hardware cost resets upward. And those costs get passed to you.

The Performance Reality

There is a second dimension here that does not get discussed enough: not all cloud CPUs are equal, and the newest-generation silicon rarely lands in EUC-optimized instance families first. It goes to AI, HPC, and high-margin compute workloads.

GO-EUC benchmarking has documented this clearly for Azure. The D-series v6 (Intel Sapphire Rapids/AMD EPYC Genoa) delivers 26% better EUC performance than the v5 generation, but v5 remains the default recommendation for AVD and Windows 365 deployments due to familiarity and pricing. Most organizations are running their users on v5 or even v4 instances without realizing the performance gap they are leaving on the table.

For GPU-accelerated desktops, the situation is even more pronounced. The NVIDIA A10 found in Azure NVadsA10 v5 and AWS G5 is a 2021-era GPU. Consumer GPU cards today are considerably faster. Yet you will pay a significant EUC premium for what, in silicon terms, is a four-year-old graphics card.


Bar chart showing OBUX EUC performance scores from Broadwell 2016 through Sapphire Rapids 2023
Click to enlarge

Pull quote: The business model is simple — hyperscalers make their real money in years five and six of a server life

When Will You See Price Increases?

Based on OEM cost increases, hardware lifecycle analysis, and the depreciation model above, here is my read on the timing across the big three.


Three-column card layout showing price increase predictions for Microsoft Azure Amazon AWS and Google Cloud EUC services
Click to enlarge

The common driver across all three: Dell announced 15–20% price hikes on servers in December 2025. Lenovo followed in January 2026. Cloud providers typically lag OEM cost changes by three to six months before passing them through. That window closes in mid-2026.

What This Means for EUC Strategy

A few practical positions are worth taking now.

Audit your current instance vintage. If you are on Azure NVv4, AWS G4dn, or GCP N2 (Cascade Lake), you are on hardware designed in 2019. Demand gen-refresh timelines from your cloud CSP and model what migration to newer instances looks like for both performance and cost. The answer may surprise you.

Lock in reserved pricing now. One- and three-year reservations or committed use discounts taken before mid-2026 will insulate you from the first wave of price increases. This is especially important for Windows 365 and WorkSpaces flat-rate bundles, which are harder to renegotiate once pricing changes.

Reopen the on-premises conversation. When hyperscalers are charging cloud premium pricing for 2019-era silicon, the economics of modern on-premises or co-location hardware start to look very different. A Nutanix cluster on EPYC Genoa or Intel Sapphire Rapids delivers significantly newer silicon than the average EUC cloud instance and you control the depreciation cycle yourself.

Push for CPU generation transparency. Unlike physical servers, cloud instance documentation rarely leads with CPU stepping, errata revision, or microarchitecture generation. That is intentional. Demand it from your vendors particularly for GPU-accelerated workloads where the GPU and CPU generations can diverge significantly. The GCP G2 is a perfect example: a 2023 NVIDIA L4 GPU sitting on a 2019 Cascade Lake CPU.


Dark conclusion box summarising the hyperscaler hardware depreciation business model for EUC

Have you audited the CPU generation of your current EUC instances? Is the on-premises conversation opening back up in your organization? Drop a comment below or find me on X at @kbaggerman.

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Kees Baggerman

Kees Baggerman is Senior Technical Director — Performance & Solutions Engineering R&D at Nutanix, where he leads a global team responsible for defining how enterprise applications are delivered on the Nutanix platform. A former Citrix Technology Professional and NVIDIA Enterprise Platform Advisor, he has spent 15+ years driving EUC strategy and technical direction across architecture, product, and customer success. He has been writing here since 2011 — sharing what he learns at the intersection of platform engineering and enterprise IT.
Kees Baggerman

Kees Baggerman

Senior Technical Director at Nutanix - Former Citrix CTP - NVIDIA Enterprise Platform Advisor - 15+ years in EUC

Kees Baggerman is Senior Technical Director — Performance & Solutions Engineering R&D at Nutanix, where he leads a global team responsible for defining how enterprise applications are delivered on the Nutanix platform. A former Citrix Technology Professional and NVIDIA Enterprise Platform Advisor, he has spent 15+ years driving EUC strategy and technical direction across architecture, product, and customer success. He has been writing here since 2011 — sharing what he learns at the intersection of platform engineering and enterprise IT.

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