VMware

June 3, 2026 by George Crump

To be more than a hypervisor swap, IT professionals need to look for an AI-ready VMware alternative. The Broadcom acquisition has rewritten the economics of virtualization, and many IT teams are still trying to escape renewal costs that no longer justify the value received.

Treating the VMware exit as a single-platform replacement project is a mistake, especially since the next infrastructure decision is already taking shape around AI. That decision arrives faster than most teams expect, and the platform selected during the VMware exit determines whether private AI becomes practical or prohibitively expensive.

An AI-ready VMware alternative now has to pass two tests. The platform has to replace VMware without forcing an application redesign, and it has to support the AI workloads that will land in the data center next.

Key Takeaways

An AI-ready VMware alternative has to pass two tests: replace the platform today and run AI workloads tomorrow.
A platform that solves virtualization but not AI forces a second infrastructure decision a year or two later.
Test AI readiness on existing hardware before committing to a replacement.

Why an AI-Ready VMware Alternative Matters Now

Many organizations begin their AI journey with public services. That approach removes the need to purchase infrastructure, hire specialists, or learn new operational models. The problem is that most successful AI projects eventually encounter limits that are difficult to solve from outside the organization.

Cost

Public AI platforms charge for every interaction (Token Costs). A handful of occasional questions costs little, and an assistant used by hundreds of employees, a document analysis platform processing millions of records, or a customer-facing application serving thousands of daily requests creates a very different economic picture. Recurring inference costs grow faster than expected, and at some point, owning the infrastructure costs less than renting for every transaction.

Data Gravity

The most valuable AI systems depend on internal documents, customer records, operational procedures, financial data, and institutional knowledge. Moving that data into external AI environments introduces governance, compliance, security, and operational concerns. The more valuable the data, the stronger the incentive to keep the AI system close to the source.

Strategic Control

AI is rapidly becoming part of an organization’s competitive advantage. When customer service workflows, software development assistance, and decision support systems depend entirely on external providers, pricing changes, model updates, and availability decisions remain outside the organization’s control.

Not every AI workload belongs in the data center, and public AI services continue to play an important role. Most organizations will identify a set of AI workloads that cost less, are governed more cleanly, and operate more strategically on their own infrastructure. The platform selected during the VMware exit is also the foundation for those workloads. An AI-ready VMware alternative pulls both jobs together from day one.

Key Terms

Private Cloud Operating System (PCOS)

A single integrated codebase for compute, storage, networking, protection, and AI. Different from hyperconverged platforms that wrap separate products behind one management GUI.

NVIDIA vGPU 20

NVIDIA’s virtual GPU release for the 2026 generation of accelerators. Lets a single physical GPU host multiple virtual machine workloads.

Multi-Instance GPU (MIG)

A partitioning technology that splits a physical GPU into independent slices, each with its own memory and compute. Different workloads share one accelerator without contending for resources.

VergeIQ

VergeIO’s integrated AI runtime. Runs private language models, retrieval-augmented generation applications, document analysis systems, and AI assistants on the same cluster that hosts virtual machines and containers.

Retrieval-Augmented Generation (RAG)

An AI pattern that pulls relevant content from a private document store at query time and feeds it to a language model. Keeps proprietary data inside the organization and improves answer accuracy.

What to Look For in an AI-Ready VMware Alternative

Most organizations begin their VMware evaluation with a familiar checklist. Those requirements remain important. The first job of any VMware alternative is replacing the platform that already runs the business.

Virtualization baseline: the five requirements of an AI-ready VMware alternative

Migration Simplicity

Existing VMware workloads should move without application redesign, operating system changes, or lengthy conversion projects. The migration process should preserve virtual machines, networking, and storage configurations and minimize downtime. Less time rebuilding workloads means faster realization of savings.

Feature Parity

High availability, live migration, snapshots, distributed resource management, virtual networking, and integrated storage services need to operate as mature production capabilities, not features that require workarounds to reach the same outcome.

Stronger Protection

A VMware migration is the opportunity to improve recovery capabilities, not duplicate them. Native replication, immutable snapshots, ransomware detection, rapid recovery workflows, and integrated disaster recovery all belong in the evaluation.

Operational Simplicity

Many organizations left VMware over more than licensing. They also became frustrated with a virtualization stack that had evolved into multiple products, each with its own management, upgrade, troubleshooting, and expertise. Storage, networking, virtualization, security, automation, monitoring, and recovery became independent layers, often behind a unified interface that hid the seams.

The platform should reduce operational complexity, not recreate it. A unified architecture should run virtualization, storage, networking, protection, and automation as part of a single system. The default decision of swapping hypervisors, replacing VMware with another loosely integrated stack, exchanges one form of complexity for another. The goal is simplification, not substitution.

Licensing Simplicity

Licensing costs were the catalyst for leaving VMware in the first place. Replacing one complicated licensing structure with another postpones the problem. The alternative should deliver predictable economics that hold steady as the environment grows and not penalize the organization for increasing density, which is the consequence of a “per-core” licensing model.

These five requirements form the foundation of an AI-ready VMware alternative, and they are where most evaluations stop. None of them answers the next infrastructure question. They determine whether a platform replaces VMware, not whether that same platform supports the AI workloads many organizations will bring into their own data centers. A platform can satisfy every item on this checklist and still force a second infrastructure decision a year or two later. The missing consideration is AI readiness.

The Missing Criterion of an AI-Ready VMware Alternative

The search for an AI-ready VMware alternative begins where most evaluations end. Many platforms start to fall short on feature parity with VMware. Most also lack a clear path to AI. Some require separate platforms or additional licensing to support containers. Others support GPUs through disconnected infrastructure. Many force organizations to build, operate, and support an entirely separate AI environment.

Virtual machines and AI workloads on a single platform: the AI-ready VMware alternative

The result is a platform that solves today’s virtualization challenge and creates tomorrow’s infrastructure challenge.

As AI workloads move into the private data center, requirements change. Containers become as important as virtual machines. GPU resources become shared infrastructure. AI services need the same data, protection, networking, and recovery framework as the rest of the business.

A platform that cannot meet those requirements forces a second infrastructure decision. New hardware gets purchased, a separate AI environment goes online, and a second team starts supporting it. The organization that set out to simplify operations ends up adding complexity.

The better approach is to select an AI-ready VMware alternative that handles both traditional virtualization and private AI from day one.

Kubernetes as a First-Class Workload

Most modern AI applications deploy as containers. Kubernetes should operate on the same infrastructure as virtual machines and share the same networking, protection, and disaster recovery framework. Containers should not require a separate infrastructure stack.

GPU Sharing and Virtualization

GPUs are among the most expensive resources in the data center, and few organizations justify dedicating an entire accelerator to a single workload. The platform should support NVIDIA vGPU 20 and universal Multi-Instance GPU (MIG) so AI inference, VDI, engineering, and analytics workloads share one physical GPU.

Integrated AI Runtime

Running private AI should not require building a separate AI platform. Solutions such as VergeIQ deploy private language models, retrieval-augmented generation applications, document analysis systems, and AI assistants directly on the cluster that already hosts virtual machines and containers.

Storage Performance

Inference workloads depend on rapid access to models, embeddings, and vector databases. Infrastructure delivering millions of IOPS with sub-millisecond latency on standard NVMe eliminates the bottlenecks that traditionally justified dedicated AI infrastructure.

Architectural and Operational Simplicity

AI should not introduce another set of servers, storage systems, and management tools, nor require a dedicated infrastructure team. The goal is one platform that supports virtual machines, containers, GPUs, and AI services within a single operational framework managed by the same infrastructure team.

That is where many VMware alternatives fall short. They solve the virtualization problem and leave the AI problem for next year. Organizations that avoid a second platform decision choose a platform that handles both from day one.

VMware Exit: Today’s Checklist vs. Tomorrow’s Workload

Capability	Virtualization-First Checklist	AI-Ready VMware Alternative
Containers	Separate cluster, separate license	Kubernetes as a first-class workload
GPU support	Optional add-on, often per-host	vGPU and MIG sharing across workloads
AI runtime	Build it yourself	Integrated runtime (VergeIQ)
Storage	Tuned for VM I/O	NVMe-native, sub-millisecond latency
Operational model	Separate team for AI	One team, one operational framework

Prove an AI-Ready VMware Alternative on Hardware You Already Own

Evaluating an AI-ready VMware alternative does not require new hardware. The best proof of concept runs on the cluster already sitting in the data center, whether VxRail, ReadyNode, or commodity servers. On that hardware, migrate a virtual machine, deploy a Kubernetes workload, and run a private AI inference workload.

Measure the migration effort. Measure the infrastructure needed to support containers. Measure how GPUs get shared and managed across workloads. The most telling question is whether one team can manage it all through a common operational framework.

The real test is not whether a platform runs virtual machines. Nearly every alternative does that. The test is whether the platform becomes the foundation for the next decade of infrastructure. If virtual machines, containers, GPUs, and AI services each require different platforms, tools, and teams, then the evaluation has already produced its answer.

Organizations evaluating an AI-ready VMware alternative have one opportunity to make a single platform decision. The harder requirement is picking the platform that eliminates the need for another infrastructure decision eighteen months from now.

Take a VergeOS Test Drive and see how virtual machines, Kubernetes, GPU virtualization, and VergeIQ operate on a single platform. Greg Campbell and former VMware CTO Kit Colbert walk through the architecture live on June 11. Registration is open.

Frequently Asked Questions

What is an AI-ready VMware alternative?

An AI-ready VMware alternative is a platform that replaces VMware for traditional virtualization and also runs the containers, GPU workloads, and private AI services that follow. It treats Kubernetes, GPU sharing, integrated AI runtime, and high-performance NVMe storage as first-class capabilities, not bolt-ons.

Why does AI readiness factor into a VMware replacement?

AI workloads are arriving in production faster than most infrastructure cycles. Cost, data governance, and strategic control will push most successful AI projects into the private data center within the same window as the typical VMware exit. A VMware alternative chosen for virtualization alone will struggle to handle the containers, GPUs, and AI runtime that follow.

What is a Private Cloud Operating System?

A Private Cloud Operating System integrates compute, storage, networking, protection, and AI in a single codebase. The integration happens in the code, not in a management GUI that ties separate products together. The result is one platform, one operational model, and one team.

Does an AI-ready VMware alternative need NVIDIA vGPU and MIG support?

Yes. VergeOS supports NVIDIA vGPU 20 and universal MIG, allowing a single physical GPU to host multiple isolated virtual machine or container workloads. AI inference, VDI, engineering applications, and analytics workloads share the same accelerator infrastructure.

How does VergeIQ fit into an AI-ready VMware alternative?

VergeIQ runs on the same VergeOS cluster that hosts virtual machines and containers. Organizations deploy private language models, retrieval-augmented generation applications, document analysis systems, and AI assistants directly on the platform that already runs the rest of the business. No separate AI infrastructure required.

Can an AI-ready VMware alternative run on the same hardware that hosted VMware?

Yes. VergeOS runs on existing VxRail, ReadyNode, and commodity server hardware. Most VMware replacement evaluations begin on hardware already in production, which removes the need for a separate hardware purchase to validate the platform.

Filed Under: AI Tagged With: AI, Alternative, Container Platform, IT infrastructure, VMware

April 22, 2026 by George Crump

For most IT organizations, the VMware server upgrade conversation arrives at the same time as the renewal decision. Broadcom’s per-core subscriptions drove 300–500% VMware cost increases, turning a technology preference into a financial emergency. But migrations take time, and the working plan for many organizations has been sensible: renew for one more year, buy the servers needed to keep the environment running, and use that window to evaluate alternatives properly.

That plan made sense in 2024. The renewal was expensive but predictable — Broadcom had only completed the acquisition a year earlier, many organizations still had time remaining on existing contracts, and buying one more year to evaluate alternatives was a reasonable call. The servers were a known quantity. The budget math was uncomfortable but manageable. What changed is not the plan — it is the price of executing it. The two line items that seemed controllable have both moved against you at the same time, and the combined number no longer looks like buying time. It looks like paying a premium to stay on a platform you have already decided to leave.

Key Takeaways

Broadcom’s per-core subscriptions drove 300–500% VMware cost increases. The exit decision is made for most organizations — the question is the cost of execution.

Server-grade DDR5 RDIMMs are on track to double year over year by late 2026. Memory now represents 35% of total server BOM cost — the largest single line item in a build that used to be dominated by processors.

A 30TB TLC enterprise SSD that cost $3,062 in mid-2025 now costs nearly $11,000 — a 257% increase in under a year.

Renewing VMware and buying servers simultaneously means paying peak prices on both at exactly the same moment.

Server lead times of 3–6 months mean hardware ordered at month four of a one-year extension may not arrive before the next renewal conversation begins.

VergeOS starts the migration on existing hardware — eliminating the hardware purchase, the lead time risk, and the VMware subscription simultaneously.

VergeOS runs at 2–3% memory overhead vs. double-digit percentages for VMware — the same servers run more workloads after the migration completes.

Why VMware Server Upgrade Costs Have Changed

The server market shifted in late 2024 and has not corrected. DRAM contract prices rose 58–63% quarter over quarter in the first half of 2026, driven by AI infrastructure buildout at the hyperscaler level that locked up supply before enterprise buyers could compete. This cycle has been characterized as a Memory and Flash Supercycle — a structural market shift projected to persist well beyond 2027, not a temporary correction. Server-grade DDR5 RDIMMs are on track to double year over year by late 2026. Memory now represents 35% of total server BOM cost, a line item that used to be dominated by processors.

Enterprise SSD pricing compounded the problem. A 30TB TLC enterprise SSD that cost $3,062 in mid-2025 now costs nearly $11,000 — a 257% increase in under a year. For organizations that planned a server refresh at 2024 pricing, the storage bill alone can flip a manageable capital project into a budget conversation that goes back to the CFO. And unlike the licensing increase, which arrived as a known policy change, the hardware inflation arrived quietly — embedded in quotes that came back higher than expected, with OEM validity windows shrinking from thirty days to fifteen. The price you get today expires before your purchase order clears.

Key Terms

Per-Core Subscription

Broadcom’s VMware licensing model that charges based on the number of processor cores in use, replacing perpetual licenses. Drove 300–500% cost increases for most organizations after the acquisition closed.

DDR5 RDIMM

Registered Dual In-Line Memory Module using the DDR5 standard — the server-grade RAM required by modern virtualization hosts. Contract prices are on track to double year over year by late 2026, driven by AI infrastructure demand at the hyperscaler level.

BOM (Bill of Materials)

The itemized cost breakdown of all components in a server build. Memory now represents 35% of total server BOM cost in 2026 — the largest single line item, a position historically held by processors.

Platform Overhead

The memory and compute resources consumed by the hypervisor stack itself before any workload runs. VMware runs at double-digit percentages. VergeOS runs at 2–3%, returning the difference to productive workloads on the same physical hardware.

Global Deduplication

VergeOS’s storage architecture that holds only unique data blocks across all VMs and all nodes, delivering significantly more effective capacity from the storage organizations already own.

The Compounding Trap

Here is where the two costs stop being separate line items. The Broadcom per-core subscription is running at elevated rates with annual escalation baked in. The servers are running at elevated prices with no correction in sight.

The organization that decides to renew VMware for one more year and buy a few servers to bridge the gap is making two purchases simultaneously — at the worst possible time for both.

TruthInIT Webinar

The New Economics of VMware Exit

George Crump and Mike Matchett unpack the full cost equation — the hardware ambush, the license squeeze, and why VergeOS changes the math. Live Q&A included.

The budget that was approved to buy evaluation time is now funding a premium VMware environment on hardware that costs twice what the CFO expected when the plan was signed off. Neither purchase is optional — the environment needs to keep running, and the servers are needed to run it. The combined spend is no longer a bridge to a better decision. It is the cost of not having made the decision sooner.

The compounding works against you in a third way that rarely appears in the analysis. Every month inside that one-year extension is a month the organization is not migrating. Server lead times of three to six months mean that even if the decision to exit comes at month four of the extension, hardware ordered then may not arrive until the extension is nearly over — triggering a second renewal conversation before the first one has paid off. The organization that bought time to evaluate alternatives ends up buying time to buy more time. Each cycle runs at current pricing.

The VMware Exit That Costs Less Than the Renewal

VergeOS changes the math at every layer where the conventional path breaks down. The starting point is hardware: VergeOS installs on any x86 server already in the data center. The servers the organization was planning to buy are no longer required. The $40,000 nodes, the three-to-six-month lead times, the OEM quote that expires before the purchase order clears — none of that applies. The migration starts on the day the organization decides to move, on hardware already powered on and already running workloads.

The VMware subscription disappears on day one. That eliminates the compounding trap — there is no renewal to sign, no escalation clause to absorb, and no ongoing Broadcom billing cycle running while the migration proceeds. For an organization paying $30,000 per month in VMware subscription fees, eliminating even six months of that cost covers a significant portion of the migration project itself.

VergeOS does more than start the migration on existing hardware — it makes that hardware perform better than it did under VMware. The entire VergeOS stack runs at 2–3% memory overhead versus double-digit percentages for VMware. That overhead gap translates directly into workload capacity: the same physical servers run more VMs, with more memory available to the workloads that matter. VergeOS storage is globally deduplicated across all VMs and all nodes, which means the flash capacity the organization already owns works significantly harder. Customers consistently find greater storage efficiencies through VergeOS deduplication than they achieved on VMware — the same drives, more effective capacity. The servers that were already paid for become better servers on the day the migration completes.

Make the Decision You Have Already Made

2×

Server-grade DDR5 RDIMMs on track to double year over year by late 2026

257%

Enterprise SSD price increase — 30TB TLC drive from $3,062 to ~$11,000 in under a year

3–6 mo

Server lead times in many regions — hardware ordered today may arrive after next renewal

The VMware exit is not a question most IT organizations are still debating. The question is when, and how much the delay costs. Every month inside a renewed VMware contract is a month of Broadcom billing at elevated per-core rates. Every month that passes is another month closer to needing those servers — at whatever price they quote when the order finally goes in.

The organizations finishing their VMware exits in 2026 are not the ones that found a better renewal deal or waited for server prices to correct. They are the ones that recognized the exit itself was the lower-cost option — and that VergeOS made it possible to start on hardware already in the data center, eliminate the subscription on day one, and come out the other side running more workloads on less memory than VMware ever delivered. The math on staying has never been worse. The math on leaving has never been more in favor of moving now.

Renewing VMware vs. Migrating to VergeOS: The 2026 Cost Comparison

	Renew VMware + Buy Servers	Migrate to VergeOS
Hardware cost	$40K nodes at peak pricing — when available	Start on existing hardware today
Server lead time	3–6 months before migration can begin	Zero — migration starts immediately
VMware subscription	Full renewal at elevated per-core rate	Eliminated on day one
Annual escalation	Baked into new contract term	Gone entirely
RAM utilization	Double-digit platform overhead unchanged	2–3% overhead — more workloads, same servers
Storage efficiency	No change from existing VMware environment	Global deduplication — existing drives work harder
Migration timeline	Starts after hardware arrives	Starts the day the decision is made

Join George Crump and Mike Matchett on April 30 for The New Economics of VMware Exit — a live TruthInIT webinar unpacking the full cost equation and the path forward. Register for the webinar.

For the complete TCO model and four-step business case, download the white paper: The New Economics of the VMware Exit.

Ready to see VergeOS running on your existing infrastructure? Take a Test Drive Today.

Frequently Asked Questions

Why have VMware server upgrade costs increased so much in 2026?

AI infrastructure buildout at the hyperscaler level has locked up DRAM and NAND flash supply before enterprise buyers can compete for it. Server-grade DDR5 RDIMMs are on track to double year over year by late 2026. A 30TB TLC enterprise SSD that cost $3,062 in mid-2025 now costs nearly $11,000. Memory now represents 35% of total server BOM cost — the largest single line item in a build that used to be dominated by processors.

Does VergeOS require new hardware to migrate from VMware?

VergeOS installs on any x86 server already in the data center. There are no hardware compatibility lists requiring certified configurations. The migration starts on existing infrastructure — no procurement cycle, no lead time exposure, and no repricing risk between project approval and purchase order.

How does VergeOS make existing servers perform better than VMware?

The entire VergeOS stack — hypervisor, storage, networking, and data protection — runs at 2–3% memory overhead versus double-digit percentages for VMware. That gap returns directly to workload capacity: the same physical servers run more VMs with more memory available. VergeOS storage is also globally deduplicated across all VMs and all nodes, delivering significantly more effective capacity from the flash storage organizations already own.

Will VMware server prices come down before I need to buy?

Industry forecasts indicate memory shortages will persist through at least Q4 2027, with new manufacturing capacity not coming online until 2027–2028. Organizations waiting for prices to normalize before proceeding with a conventional migration are likely to wait through multiple VMware renewal cycles at current Broadcom rates.

What happens to the servers we were planning to buy for VMware?

The servers the organization was planning to purchase are no longer required for the VergeOS migration. If additional capacity is needed in the future, VergeOS runs on any x86 server from any manufacturer and incorporates new nodes without downtime. The migration itself starts on hardware already in place, at zero new hardware cost.

How long does a VergeOS migration from VMware take?

VergeOS migrations are software-driven and measured in weeks rather than months. Because there is no hardware procurement dependency, the timeline is not gated by server lead times. VergeOS snap-based import brings VMware VMs across as-is, eliminating the conversion step that adds cost and risk to every other exit path.

Filed Under: VMwareExit Tagged With: Alternative, HCI, IT infrastructure, VMware

April 13, 2026 by George Crump

The oVirt standard enables a complete VMware exit by solving the one requirement that stalls the evaluation of most VMware alternatives: backup compatibility. IT professionals need three things before they commit to an alternative. The platform must deliver compelling capabilities beyond a lower price in the areas of hardware reuse, performance, and built-in data availability. Migration must be executable during business hours without impacting operations. And the existing backup infrastructure must carry forward intact.

VergeOS answers the first two decisively. It runs on existing servers, delivers infrastructure-scale data protection as a core platform function, and supports live migration during production hours. The third requirement, backup compatibility, has been the industry-wide sticking point. Not for lack of technology, but for lack of a common interface between backup vendors and VMware alternatives.

oVirt enables a complete VMware exit by closing that gap. The oVirt API gives both the backup software vendor and the alternative hypervisor vendor a common bridge to cross. When both sides implement the same standard, the backup question does not get answered. It gets eliminated.

As a proof point, VergeIO delivered a working, production-ready integration with a major enterprise backup platform within three months of starting the project. VergeIO and Veeam will be demonstrating this capability live on tomorrow’s webinar, VergeOS oVirt Integration.

Key Takeaways

The oVirt API enables a complete VMware exit by giving backup platforms and VMware alternatives a common interface that requires no custom development.

VergeOS 26.1.2 implements the oVirt standard natively, making it immediately compatible with any backup platform that has an oVirt driver.

The delay in oVirt support allowed VergeIO to build industry-leading data availability, protection, and disaster recovery directly into the platform.

oVirt-compatible backup platforms like Veeam connect to VergeOS in under an hour with no changes to existing policies, schedules, or SLA tiers.

Infrastructure owns availability and large-scale recovery. Backup owns granular recovery and long-term retention. The oVirt integration lets each system do what it was built to do.

Why oVirt Enables a VMware Exit

The oVirt API is the established interface for KVM-based virtualization environments. VergeIO did not invent it. No single backup vendor created it. It emerged as an industry decision, a deliberate architectural strategy by major backup vendors to support the growing ecosystem of open-source hypervisor platforms through a single, common interface.

Backup vendors like Veeam are choosing to build their products against the oVirt standard rather than maintaining one-off integrations for every new hypervisor that enters the market. Any platform that implements oVirt natively gains access to the full ecosystem of compatible backup tools without custom development on either side. That design decision is what makes oVirt the bridge that enables a VMware exit without sacrificing backup infrastructure.

VergeOS 26.1.2 implements the oVirt API natively. For organizations running any backup platform with an oVirt driver, VergeOS is immediately compatible. The integration is not something that needs to be requested, negotiated, or built from scratch. It is already there.

Key Terms

oVirt API

The established interface standard for KVM-based virtualization environments. Major backup vendors build against this standard to support open-source hypervisor platforms through a single, common integration point.

Virtual Data Center (VDC)

A VergeOS construct that groups compute, storage, and networking resources into a defined boundary. VDCs are the unit of management, isolation, and recovery, allowing entire application environments to be restored as a coordinated system.

ioGuardian

A VergeOS technology that extends drive failure protection beyond configured redundancy levels. It turns N+2 protection into N+X by continuing to serve data actively during multiple simultaneous drive failures.

Data Center Encapsulation

A VergeOS capability that captures data, VM configurations, and network configurations together in point-in-time consistent snapshots. These snapshots are immediately replicated off-site, simplifying disaster recovery into a single coordinated restore.

Two-Layer Protection Model

An architecture where infrastructure owns availability and large-scale recovery, and backup platforms own granular recovery and long-term retention. Each layer operates at its maximum effectiveness when the boundary between them is clear.

Why the oVirt Delay Strengthened the VMware Exit

It would have been nice to have oVirt compatibility on day one, however, the delay created an unexpected advantage. Without a third-party backup integration to lean on, VergeIO took on the responsibility of building advanced, industry-leading data availability, protection and disaster recovery capabilities directly into the VergeOS platform.

The result is a level of resilience and recovery that most hypervisors do not attempt. VergeOS delivers unlimited snapshots with no performance penalty. Multiple levels of drive failure protection come standard. ioGuardian extends protection beyond configured redundancy levels, turning N+2 protection into N+X by continuing to serve data actively during multiple simultaneous drive failures that exceed the configured protection level.

Integrated remote replication operates at the platform level, not the VM level. Data center encapsulation captures data, VM configurations, and network configurations together in point-in-time consistent snapshots which are immediately replicated off-site. That approach simplifies disaster recovery from a multi-step orchestration exercise into a single coordinated restore.

None of this goes away with the addition of oVirt. VergeOS enters the backup compatibility conversation from a position of strength, not dependency.

What oVirt Brings to VergeOS

VergeOS already delivers top-tier data protection, but a single vendor provides all of it. Some organizations see that as a strength. Others see it as a gap, particularly those with compliance requirements or operational models that expect a dedicated backup platform with its own management layer.

This is where enterprise backup tools add clear value. Products like Veeam provide a robust, searchable catalog of backups, files, and recovery points. Single-file restores are GUI-driven and intuitive. An administrator searches, selects, and restores without needing to know the exact location or snapshot in advance. VergeOS can mount a snapshot as a drive and allow an administrator to copy files back directly. That method is fast and effective, but it requires the administrator to know what they are looking for.

oVirt bridges this gap. Organizations that want the operational familiarity and granular precision of a dedicated backup platform alongside the infrastructure-scale protection of VergeOS can now run both without compromise and without custom integration.

How VergeOS Uses oVirt in Practice

The integration is straightforward. An oVirt-compatible backup platform, like Veeam connects to VergeOS without modification on either side. No custom plugin. No professional services engagement. No changes to existing backup policies, schedules, or SLA tiers.

The full feature set of the backup platform is available from day one. File-level restore, application-aware recovery, instant VM recovery, and long-term retention all function at production scale. Deployments confirm the integration completes in under an hour.

Backup compatibility alone is not a strategy. Having a backup platform connect to VergeOS is table stakes. The deeper question is what happens when something fails, and how much of that outcome depends on backup software.

The answer with VergeOS is less than it used to be. Infrastructure owns availability and large-scale recovery. It absorbs drive failures, node failures, and site-level disruptions within the platform. Backup owns granular recovery and long-term retention. It restores individual files, application objects, and historical data with precision. Each system does what it was built to do. Neither carries responsibility it was not designed for.

The VMware Exit Economic Window Is Open

171%

YoY DRAM price increase projected through 2027

55–60%

NAND flash contract price increase in Q1 2026

Months

Server delivery delays in categories that shipped in weeks

The RAM and NAND flash supercycle has broken server supply chains and pushed hardware costs to cycle highs. DRAM prices are up 171% year-over-year through 2027. NAND flash contract prices jumped 55 to 60 percent in Q1 2026. Multi-month server delivery delays are now standard in categories that shipped in weeks two years ago.

Most VMware alternatives force a server refresh alongside the platform change. VergeOS does not. It runs on the servers already in production. With oVirt, it now uses the backup infrastructure you have already invested in. New hypervisor, same servers, same backup platform. The economic window to act is now.

Standard Exit vs. VergeOS Exit

	Standard Alternative	VergeOS
Hardware Requirement	New server refresh	Re-use existing servers (+171% DRAM avoidance)
Backup Integration	Custom plugins / waitlists	Native oVirt standard
Platform Resilience	Standard N+1/N+2	ioGuardian N+X survivability
Disaster Recovery	Multi-step orchestration	Single-click VDC encapsulation

Live Webinar

VergeOS oVirt Integration

Rick Vanover (Veeam VP of Product Strategy) and Paul Hodges (VergeIO Field CTO) deploy and demonstrate the full integration live. Q&A included.

The demonstration is scheduled for April 15, 2026 at 1:00 PM ET. The session covers adding VergeOS to the Veeam console as an oVirt KVM Manager, running the first backup job, and restoring a workload — end to end.

The Q&A addresses the questions most teams ask during a VMware exit: license portability, retention policies during migration, and how the two-layer model changes the recovery conversation with the business.

Ready to see VergeOS in action? Take a Test Drive Today.

Frequently Asked Questions

What is the oVirt API and why does it matter for VMware migration?

The oVirt API is the established interface for KVM-based virtualization environments. Major backup vendors built their products against this standard to support open-source hypervisor platforms through a single integration point. Any VMware alternative that implements oVirt natively gains immediate compatibility with these backup tools, removing the need for custom development on either side.

Does the oVirt integration require changes to existing Veeam policies or configurations?

No. Veeam’s oVirt driver connects to VergeOS without modification. Existing backup policies, schedules, SLA tiers, and recovery workflows carry forward unchanged. The integration deploys in under an hour at production scale.

What backup features are available through the oVirt integration?

The full feature set of the backup platform is available from day one. For Veeam, that includes file-level restore, application-aware recovery, instant VM recovery, and long-term retention. All features function at production scale through the standard oVirt driver.

Does VergeOS still need third-party backup if it has built-in data protection?

VergeOS delivers infrastructure-scale data availability, disaster recovery, and unlimited snapshots as core platform functions. Enterprise backup platforms like Veeam add a complementary layer of granular recovery, searchable backup catalogs, and long-term retention. The two-layer model lets each system operate within its intended role.

Are backup platforms other than Veeam compatible with VergeOS through oVirt?

Any backup platform with an oVirt driver is architecturally compatible with VergeOS. Veeam has been validated and will be demonstrated live. Other platforms will be certified as customer demand prioritizes them.

Can VergeOS run on existing servers or does migration require new hardware?

VergeOS runs on the servers already in production. It does not require a hardware refresh. With DRAM prices up 171% year-over-year and NAND flash contracts up 55 to 60 percent in Q1 2026, hardware reuse is a significant economic advantage over VMware alternatives that require new infrastructure.

What is the two-layer protection model?

The two-layer model separates data protection responsibilities between infrastructure and backup. VergeOS handles availability and large-scale recovery at the infrastructure layer, absorbing drive, node, and site-level failures within the platform. Backup platforms like Veeam handle granular recovery, application-aware protection, and long-term retention. Each system does what it was built to do.

Filed Under: VMwareExit Tagged With: oVirt Backup with Veeam and VergeOS, VMware

March 9, 2026 by George Crump

The ability to reduce RAM consumption may be the most important factor in choosing a VMware alternative in 2026. What started as a licensing decision after Broadcom’s acquisition has become an infrastructure economics decision. Organizations began evaluating replacements to escape licensing uncertainty. Then the Flash and Memory Supercycle hit.

Key Takeaways

The Memory and Flash Supercycle is driving DRAM prices up 171% YoY through 2027, NAND flash up 55–60% in a single quarter, and server deliveries delayed by months. VMware licensing changes from Broadcom compound the pressure.

Memory ballooning, transparent page sharing, and hypervisor swapping are reactive workarounds that manage scarcity after it occurs. None of them reduce total physical RAM requirements.

VergeOS integrates virtualization, storage, networking, and data protection into a single code base that runs at 2–3% memory overhead, compared to the double-digit percentages consumed by multi-product stacks.

Topgolf reduced server count by 50% per venue across 100+ locations. Alinsco Insurance migrated a mission-critical VxRail environment during business hours with zero downtime and gained memory headroom on the same hardware.

VergeOS runs safely on commodity NVMe drives, uses global inline deduplication to reduce flash capacity requirements, and delivers snapshot-driven local replication through ioGuardian that protects against multiple simultaneous drive failures without hardware RAID.

The platform’s global deduplicated cache operates across all VMs across all nodes, caching only unique data blocks from the already-deduplicated storage pool. This drives higher cache hit rates and fewer flash reads without wasting RAM on redundant cached data.

DRAM prices are expected to increase 171% year-over-year through 2027. NAND flash contract prices jumped 55–60% in Q1 2026 alone. Server orders that once shipped in weeks now face multi-month delivery delays. The platform you choose now determines how much RAM, flash, and hardware you need for the next three to five years.

171%

Projected YoY DRAM price increase through 2027

55–60%

NAND flash contract price increase in Q1 2026

Months

Server delivery delays in categories that shipped in weeks

Finding a VMware alternative is still the primary mission. But the supercycle raises the bar. It is no longer enough to swap one hypervisor for another just because it costs less to license. The replacement must also reduce RAM consumption per workload, require fewer servers, and reduce flash storage costs. Any platform that relies on memory ballooning, transparent page sharing, or hypervisor swapping to manage RAM is using the same software tricks the industry has relied on for years. Those techniques react to memory pressure after it occurs. None of them reduce the total physical RAM your infrastructure actually requires.

Key Terms

Memory and Flash Supercycle

A sustained period of rising DRAM and NAND flash prices driven by AI infrastructure demand, DDR4 end-of-life, and constrained fabrication capacity. Industry analysts project tight supply through at least 2027.

Memory Ballooning

A hypervisor technique that uses a guest driver to reclaim unused RAM from idle VMs. Reactive by design, it fails under tight VM sizing and causes cascading performance degradation when multiple VMs spike simultaneously.

Transparent Page Sharing (TPS)

A memory deduplication technique that merges identical OS pages across VMs. Limited to identical pages, disabled by default in VMware since 2014 due to security concerns, and ineffective for application data.

Global Inline Deduplication

VergeOS technology that identifies and eliminates duplicate data blocks at the storage layer before they are written to flash. Reduces total flash capacity requirements, lowers write amplification to extend drive life, and feeds only unique blocks into the RAM cache.

Global Deduplicated Cache

A VergeOS RAM cache that operates across all VMs across all nodes and draws from the already-deduplicated storage pool. Holds only unique data blocks, increasing effective cache capacity and hit rates without the CPU overhead of a separate cache-level deduplication algorithm.

ioGuardian

VergeOS data availability technology that uses snapshot-driven local replication to protect against multiple simultaneous drive failures. Eliminates the need for hardware RAID controllers and delivers consistent performance during failures and rebuilds.

Commodity NVMe

Standard NVMe solid-state drives that cost significantly less than enterprise or server-class SSDs. VergeOS makes commodity drives production-safe through software-managed wear leveling, global deduplication to reduce writes, and ioGuardian replication to handle failures gracefully.

Our on-demand webinar goes deeper into each of these points. Watch Architecting for the Flash and Memory Supercycle to see how the platform decisions you make today determine your infrastructure costs for the next three to five years.

Start with an Efficient Code Base That Reduces RAM Consumption

The first question to ask any VMware alternative is how much RAM the platform itself consumes before a single VM even starts. VMware environments running vSphere, vSAN, vCenter, and NSX stack four separate products on every host. Each product reserves memory for its own management processes. Add external replication software and hardware RAID controllers, and the cumulative overhead climbs even further.

VergeOS takes a different architectural approach. It delivers a complete private cloud operating system that integrates virtualization, storage, networking, and data protection as services within a single code base. There is no separate storage product. There is no separate networking product. The platform is built with global deduplication, enabling synchronous replication without the typical capacity impact and delivering better, more consistent performance in production and during failures.

It eliminates the need for hardware RAID controllers, which are also increasing in price because they consume RAM. VergeOS includes built-in data replication for disaster recovery, and its global inline deduplication reduces capacity costs at the disaster recovery site as well. The entire platform runs at 2–3% memory overhead. Compare that to the double-digit percentages consumed by multi-product virtualization stacks and HCI platforms that reserve tens of gigabytes per node before workloads even start.

A lower baseline means more RAM available for production workloads on the same hardware. During a supercycle, that difference translates directly into fewer servers needing to be purchased at inflated prices.

Use Existing Hardware and Reduce How Much You Need

VergeOS installs on any x86 server from any manufacturer. Organizations migrating from VMware continue to run on the same physical servers they already own. There is no hardware forklift upgrade. No waiting six months for new server deliveries that keep getting pushed back as memory and flash shortages worsen. The servers, RAM, and SSDs already purchased and deployed remain in production.

Getting there does not require the purchase of a parallel environment or even a maintenance window. VergeOS supports node-by-node migration from VMware. Evacuate workloads from one host, install VergeOS on that host, migrate VMs onto the new platform, and repeat across the remaining hosts. Production continues running throughout the process. Alinsco Insurance completed this on a five-node VxRail cluster running a mission-critical insurance application that cannot tolerate downtime. The team migrated node by node during business hours with zero downtime. Critical web servers were moved at night out of an abundance of caution, but even those migrations produced no service interruption. During a supercycle, this approach eliminates the capital expense of purchasing a second set of servers to stand up alongside the existing environment.

On-Demand Webinar

Architecting for the Flash and Memory Supercycle

How the platform decisions you make today determine your infrastructure costs for the next three to five years.

Watch On-Demand →

Because VergeOS consumes less RAM per host, organizations can increase VM density and consolidate to fewer servers. Topgolf, operating more than 100 venues globally, reduced each site from six-node VxRail clusters to three-node VergeOS clusters. That is a 50% server reduction per venue. Alinsco Insurance continued to run on the same VxRail hardware and internal SSDs after migration, and servers that felt constrained under VMware gained additional headroom under VergeOS.

The freed servers create immediate value. One becomes a dedicated ioGuardian server, delivering N+2 or greater (N+X) data protection without purchasing new hardware or hardware RAID. The remaining servers become part donors. Pull the DRAM and NVMe drives and redistribute them across the active production nodes. VergeOS supports mixed node types and mixed node roles in the same cluster, so the redistribution does not require matching hardware specifications.

The consolidation math works across an entire fleet. An organization running 100 six-node VMware clusters that consolidates to 100 three-node VergeOS clusters frees 300 servers for repurposing, retirement, or spare parts — during a supercycle where replacement hardware is both expensive and slow to ship.

Reduce Flash Costs with Commodity SSDs

The supercycle affects flash storage as well as memory. Enterprise and server-class SSDs carry steep price premiums that continue to climb alongside NAND contract prices. Commodity NVMe drives are rising in price, too. But the price gap between enterprise and commodity is widening, not narrowing, and commodity drives do seem to be more readily available. Organizations that can safely run on commodity flash pay less per terabyte today relative to enterprise alternatives than they did a year ago.

VergeOS runs safely on commodity SSDs. The platform’s storage engine manages I/O scheduling and wear management at the software layer, reducing dependence on the drive’s internal controller. Global inline deduplication reduces total writes to each drive, directly extending drive life. ioGuardian’s snapshot-driven local replication protects against multiple simultaneous drive failures without data loss or downtime, so that a commodity drive that wears out faster than an enterprise drive is replaced gracefully. No hardware RAID controller is required. The combination makes commodity flash a production-safe choice at a fraction of the cost of enterprise SSDs.

A Cache That Benefits from Deduplication

Most virtualization platforms cache storage data independently on each node. If ten nodes access the same data block, ten separate copies sit in ten separate caches. That wastes RAM on redundant data across the cluster.

VergeOS approaches caching differently. The platform performs global inline deduplication at the storage layer, so the storage pool contains only unique blocks. The RAM cache operates across all VMs across all nodes and draws from that already-deduplicated pool. The cache holds only unique data without running a separate deduplication algorithm inside the cache itself. More unique blocks fit in the same physical RAM, driving higher cache hit rates and fewer reads from flash.

An important factor in making this work across nodes is VergeOS’s optimized internode communication protocol, purpose-built for this use case and free from the overhead of chatty iSCSI or NFS protocols. We will explore the technical details of this architecture in an upcoming post. The takeaway for now: VergeOS does not waste RAM caching duplicate data.

The VMware Alternative Decision Just Got Bigger

The search for a VMware alternative is no longer just about licensing. The supercycle means the platform you choose determines your RAM consumption, your flash costs, your server count, and how long your existing hardware stays in production. Choose a platform that relies on the same memory tricks the industry has used for decades, and you inherit the same overhead during the most expensive hardware market in years. Choose a platform built to reduce RAM consumption from a single efficient code base with built-in data availability, and you start with less overhead, run on the servers you already own, and reduce how many you need going forward.

Frequently Asked Questions

What is the Memory and Flash Supercycle?

A sustained period of rising DRAM and NAND flash prices driven by AI infrastructure demand, DDR4 end-of-life, and constrained fabrication capacity. DRAM prices are expected to increase 171% year-over-year through 2027, and NAND flash contract prices jumped 55–60% in Q1 2026 alone. Server delivery times have extended to multi-month delays.

Why don’t memory ballooning and transparent page sharing solve the problem?

These are reactive techniques that manage memory pressure after it occurs. Memory ballooning reclaims unused RAM from idle VMs but fails under tight sizing. Transparent page sharing merges identical OS pages but has been disabled by default in VMware since 2014 due to security concerns. Neither technique reduces the total physical RAM your infrastructure requires.

How much RAM overhead does VergeOS consume?

The entire VergeOS platform — including virtualization, storage, networking, and data protection — runs at 2–3% memory overhead. Compare that to multi-product VMware stacks that consume double-digit percentages, or HCI platforms like Nutanix that reserve 24–32 GB per node for controller VMs before workloads start.

Can I migrate from VMware without buying new servers?

Yes. VergeOS installs on any x86 server from any manufacturer and supports node-by-node migration from VMware. Evacuate workloads from one host, install VergeOS, migrate VMs onto the new platform, and repeat. The servers, RAM, and SSDs you already own stay in production. Alinsco Insurance completed this on a five-node VxRail cluster during business hours with zero downtime.

How does VergeOS reduce the number of servers needed?

Lower platform overhead means more RAM is available for production workloads on each host, increasing VM density. Topgolf reduced each venue from six-node VxRail clusters to three-node VergeOS clusters — a 50% reduction in servers across more than 100 locations. Freed servers become parts donors or dedicated ioGuardian data protection nodes.

Is it safe to run commodity NVMe drives in production?

With VergeOS, yes. The storage engine manages I/O scheduling and wear management at the software layer. Global inline deduplication reduces total writes to each drive, extending drive life. ioGuardian’s snapshot-driven local replication protects against multiple simultaneous drive failures without hardware RAID, so a commodity drive that wears faster is replaced gracefully with no data loss or downtime.

How does VergeOS cache data differently from VMware or Nutanix?

Most platforms cache storage data independently on each node, meaning duplicate blocks are cached separately on every host. VergeOS performs global inline deduplication at the storage layer first, then the RAM cache draws from the already-deduplicated pool. The cache holds only unique blocks across all VMs across all nodes, using an optimized internode protocol instead of iSCSI or NFS. More unique data fits in the same physical RAM, driving higher cache hit rates.

What happens to servers freed up after consolidation?

One freed server becomes a dedicated ioGuardian node, delivering N+2 or greater data protection without a new hardware purchase and without hardware RAID. The remaining servers become parts donors — pull the DRAM and NVMe drives and redistribute them across active production nodes. VergeOS supports mixed node types and mixed node roles, so no matching hardware specifications are required.

Filed Under: Private Cloud Tagged With: Cache, data protection, Deduplication, FlashAndMemorySupercycle, Migration, Performance, servers, Storage, VergeOS, VMware, VMware alternative

February 14, 2026 by George Crump

DCIG recently published its 2026 report on VMware Alternatives, which highlights the often overlooked criteria for VMware alternatives. The research team evaluated 19 solutions across more than 400 features to identify a shortlist of candidates. That level of analysis takes serious effort, and the resulting reports give IT leaders a structured way to compare options.

Key Takeaways

The VMware alternative market is growing rapidly: Most new entrants are existing products that bolted on KVM hypervisors to chase a market condition, not vendors building long-term platform strategies.
Vendor commitment matters more than features: Infrastructure decisions last a decade. Vendors capitalizing on a temporary opportunity will not invest in their platforms the same way dedicated vendors will.
Support capabilities vary dramatically: Unified codebases enable faster issue resolution. Vendors new to KVM depend on open-source community guidance when hypervisor-level problems arise.
Hardware independence extends infrastructure life: True alternatives run on commodity servers from any manufacturer, mix generations in the same cluster, and keep hardware in production until it fails rather than until a compatibility list expires.
Efficiency determines real-world performance: Stacked architectures consume resources before workloads get any. Platforms built as single operating systems eliminate overhead and return capacity to production.
RAM optimization is often overlooked: Per-guest storage caching fragments memory across VMs. Infrastructure-level caching through deduplicated storage pools eliminates this waste.
Scope separates hypervisor swaps from platform modernization: A hypervisor swap addresses licensing. An integrated platform replaces storage arrays, backup software, replication tools, and networking products that cost 5X more than the hypervisor.
VergeOS predates the VMware disruption: Founded in 2012 to serve cloud service providers, the architecture existed long before Broadcom created the market opportunity. DCIG named VergeOS a TOP 5 VMware Alternative for both SME and SLED markets.

But the feature comparison tells only part of the story.

The VMware Alternative Bandwagon Is Growing

The Overlooked Criterion for VMware Alternatives

The first takeaway from this research is that the VMware alternative market is expanding rapidly. More vendors are jumping in every quarter. In almost every case, these are not new products. They are existing solutions that added a hypervisor, almost always KVM, to capitalize on a market condition. This is the IT equivalent of ambulance chasing.

Taking advantage of a market opportunity is not the same as building a long-term platform strategy. The VMware exit is a real multi-year market condition, similar to the memory supercycle now underway, but it will not last forever. The market will eventually evolve from VMware migration into migration between alternatives. Customers who have grown comfortable moving off VMware will start looking for solutions that solve broader infrastructure challenges. Vendors treating this as a hypervisor-only opportunity will not keep pace with those building Private Cloud platforms.

Key Terms

KVM (Kernel-based Virtual Machine): An open-source hypervisor built into the Linux kernel. Most VMware alternatives use KVM as their virtualization layer, but mastering it requires years of development experience.
Private Cloud Operating System: A platform that virtualizes the entire data center as one integrated system, replacing separate compute, storage, networking, and data protection products with a unified software layer.
Stacked Architecture: Infrastructure built from separate modules developed by separate teams. Each module runs its own processes, memory footprint, and I/O overhead, consuming resources before workloads get any.
Hardware Compatibility List (HCL): Vendor-maintained lists of certified hardware configurations. These lists limit purchasing options, enforce vendor lock-in, and force hardware retirement based on certification expiration rather than actual failure.
Per-Guest Memory Allocation: A storage caching approach where each virtual machine reserves its own RAM for cache, whether needed or not. This fragments memory across workloads and forces organizations to overprovision RAM.
Infrastructure-Level Caching: A storage caching approach that handles caching through a shared, deduplicated storage pool rather than per-VM allocation. Eliminates fragmented memory reserves and allows more workloads on the same physical memory.
VergeFS: VergeOS’s integrated software-defined storage service with inline deduplication, eliminating the need for external storage arrays.
VergeFabric: VergeOS’s software-defined networking layer, included at no additional cost. Eliminates the need for separate network virtualization products like VMware NSX.
ioGuardian: VergeOS feature enabling N+X redundancy, allowing a VergeOS instance to maintain full data availability through multiple simultaneous hardware failures rather than accepting the limits of mirroring or RAID.
Virtual Data Center (VDC): A VergeOS capability that encapsulates entire environments as portable objects. VDCs can failover and recover in minutes, simplifying disaster recovery without third-party software.
DCIG TOP 5: Recognition from the Data Center Intelligence Group identifying the top five solutions in a product category. DCIG evaluated 19 VMware alternatives across 425+ features to determine the TOP 5 for SME and SLED markets.

What Should Matter When Choosing a VMware Alternative

Given this landscape, what are the considerations that feature matrices miss entirely?

Vendor Commitment

The overlooked criterion for VMware alternatives that has to be examined first is the vendor’s commitment to the platform. Are they taking advantage of a temporary market condition, or is this a core part of their strategy? The distinction matters because infrastructure decisions last a decade. A vendor that bolted on a hypervisor to chase VMware exits will not invest as much in the platform as a vendor that built infrastructure virtualization from the ground up.

Vendor Support Capabilities

When it comes to technical support, established vendors like VMware and Nutanix are showing signs of struggling to meet customer expectations. The weight of their stacks creates the problem. Separate modules built by separate development teams may accelerate time to market, but they add inefficiency and make supporting the complete solution far more difficult. A unified codebase developed by a single team delivers faster issue resolution and eliminates the finger-pointing that happens when problems cross module boundaries.

The vendors that recently bolted a KVM-based hypervisor onto their existing product face a different support problem. KVM is not for the faint of heart. It is powerful, but it is also complex, and mastering it requires years of development experience. These new entrants do not have that experience. When customers encounter hypervisor-level issues, these vendors are at the mercy of the open-source KVM community to help them understand code they did not write and do not fully grasp. That dependency creates support delays and limits how deeply the vendor can troubleshoot problems. Customers end up waiting while their vendor waits for community guidance.

Hardware Independence

Another overlooked criterion for VMware alternatives is hardware independence. Most VMware alternatives carry their own hardware compatibility lists and certification requirements. These lists limit your purchasing options and lock you into specific vendors and refresh cycles. True hardware independence means running on commodity servers from any manufacturer, mixing generations within the same system, and keeping hardware in production until it actually fails rather than until a compatibility list expires.

Efficiency

Potentially, the most overlooked criterion for VMware alternatives is efficiency. Stacked architectures consume resources before your workloads even get any. Each separate module, running its own processes, memory footprint, and I/O overhead, takes capacity away from production. A platform built as a single operating system eliminates that overhead and returns it to workloads, where it belongs. Customers routinely report better performance on the same hardware after migration to a Private Cloud platform.

RAM optimization deserves particular attention. Memory is expensive, and traditional virtualization platforms waste significant amounts of it. Most solutions require per-guest memory allocation for storage caching, meaning each virtual machine reserves RAM for its own cache, whether it needs it or not. This approach fragments memory across workloads and forces organizations to overprovision RAM to maintain performance. A platform that handles caching at the infrastructure level rather than the guest level eliminates this waste and allows memory to serve workloads rather than redundant caches.

Solving Infrastructure, Not Just Hypervisor

The biggest non-feature of all is the lack of scope. A hypervisor swap alone, addresses licensing costs. It does not address the storage arrays, backup software, replication tools, and networking products that surround virtualization. Those components cost five times what the hypervisor costs and consume far more operational effort. A platform that replaces the entire stack with integrated compute, storage, networking, and data protection delivers a fundamentally different outcome than a platform that only replaces the hypervisor.

How VergeOS Addresses Each Criterion

VergeOS was not built to chase VMware exits. The platform predates Broadcom’s acquisition of VMware by more than a decade. VergeIO was founded in 2012 to build infrastructure software for Cloud Service Providers who needed efficient multi-tenant capabilities. That vision expanded to include Managed Service Providers facing similar challenges. Later, the platform evolved to serve enterprises seeking a Private Cloud Operating System rather than just a virtualization solution. It was then that VergeIO added seamless VMware migration capabilities that can migrate thousands of VMs in under a minute. The VMware disruption created market awareness, but the VergeOS architecture existed long before the VMware exit opportunity did.

Vendor Commitment

VergeIO has one product: VergeOS. The company does not sell storage arrays, backup software, or networking appliances alongside a hypervisor. Every engineering resource, every support technician, and every product decision focuses on making the platform better. When the VMware exit market evolves into competition between alternatives, VergeIO will still be further innovating the same platform it started building in 2012.

Vendor Support Capabilities

VergeOS runs as a single codebase. When a customer opens a support ticket, the engineering team that built the storage also built the networking, the hypervisor, and the data protection. That entire team is 100% available to the support organization. There is no handoff between teams, no finger-pointing between modules, no waiting for community input, and no waiting for a third party to diagnose its component. Support engineers can trace issues across the entire stack because the entire stack is one piece of software.

VergeIO’s deep experience with KVM sets it apart from vendors who recently adopted the hypervisor. More than a decade of integration work connecting KVM to VergeOS storage, networking, and data protection has given the engineering team comprehensive understanding of the hypervisor’s behavior. When issues arise at the virtualization layer, VergeIO engineers troubleshoot from direct knowledge rather than waiting for community guidance.

Hardware Independence

VergeOS runs on commodity x86 servers from any manufacturer. Organizations can mix Dell, HPE, Supermicro, and Lenovo servers in the same system. They can run different processor generations side by side. They can repurpose existing VMware servers, including the internal SSDs, without being forced to purchase new hardware. The platform balances workloads intelligently across heterogeneous hardware, placing demanding workloads on faster nodes while lighter workloads can run on older equipment.

Efficiency

VergeOS integrates compute, storage, and networking into a single operating system rather than stacking separate products. This architecture eliminates the redundant processes, memory consumption, and I/O overhead that stacked solutions introduce. Customers consistently report that workloads run faster on VergeOS using the same hardware they previously ran on VMware. The efficiency gain comes from removing layers, not from requiring better hardware.

RAM efficiency is a particular strength. VergeOS requires lower memory overhead per virtual machine than traditional platforms. More importantly, the platform handles storage caching at the infrastructure level through a deduplicated storage pool rather than requiring per-guest RAM allocation for caching. This approach eliminates fragmented memory reserves across individual VMs and allows organizations to run more workloads on the same physical memory. RAM costs are an economic shift driving private cloud adoption.

Solving Infrastructure, Not Just Hypervisor

VergeOS replaces more than just the hypervisor. The platform includes VergeFS, an integrated software-defined storage capability that runs as a service, with global inline deduplication eliminating the need for external storage arrays. It includes VergeFabric, software-defined networking at no additional cost, eliminating the need for separate network virtualization products. It includes snapshot-based data protection with site-to-site replication, lessening the dependence on separate backup and DR software. A single VergeOS deployment can replace VMware ESXi, vSAN, NSX, and third-party backup products in a single migration, rather than four separate projects.

The capabilities of VergeHV, VergeFS, and VergeFabric would be meaningless if you could not maintain data availability and protect against data loss. VergeOS integrates high availability directly into the platform, including live VM migration between nodes and storage tiers without downtime or performance impact. N+X redundancy, enabled by ioGuardian, allows a VergeOS instance to maintain full data availability even in the face of multiple simultaneous hardware failures, rather than accepting the limits of mirroring or RAID’s single- or dual-component loss. Built-in replication delivers site-to-site protection without third-party software, and virtual data center technology makes disaster recovery straightforward by encapsulating entire environments as portable objects that can failover and recover in minutes.

The Real Evaluation Criteria

Feature comparisons help you understand what a product does, but they often do not consider the overlooked criteria for VMware alternatives. They do not tell you whether the vendor will still be investing in the platform five years from now, whether support will resolve issues quickly, whether you can run the hardware you already own, or whether the architecture will free up resources or consume them. Those questions determine long-term success far more than any individual feature checkbox.

When DCIG named VergeOS a TOP 5 VMware Alternative for both SME and SLED markets, the recognition validated more than a feature list. It validated an architecture built to solve infrastructure challenges rather than just capitalize on a temporary market condition.

Frequently Asked Questions

Why are so many vendors suddenly offering VMware alternatives?

Broadcom’s acquisition of VMware created a market opportunity. Most new entrants are existing products that added a KVM-based hypervisor to capitalize on this condition. Taking advantage of a market opportunity is not the same as building a long-term platform strategy.

What happens when the VMware exit market evolves?

Customers who grow comfortable migrating off VMware will start evaluating alternatives against each other, not just against VMware. Vendors treating this as a hypervisor-only opportunity will not keep pace with those building Private Cloud platforms that solve broader infrastructure challenges.

Why does vendor commitment matter more than features?

Infrastructure decisions last a decade. A vendor that bolted on a hypervisor to chase VMware exits will not invest in the platform the same way a vendor that built infrastructure virtualization from the ground up. Feature lists tell you what a product does today, not whether the vendor will still be investing five years from now.

Why do vendors new to KVM struggle with support?

KVM is powerful but complex, and mastering it requires years of development experience. Vendors that recently adopted KVM depend on the open-source community to help them understand code they did not write. When customers encounter hypervisor-level issues, these vendors wait for community guidance before they can troubleshoot.

What is hardware independence and why does it matter?

Most VMware alternatives carry hardware compatibility lists that limit purchasing options and enforce refresh cycles. True hardware independence means running on commodity servers from any manufacturer, mixing generations in the same cluster, and keeping hardware in production until it fails rather than until a compatibility list expires.

How do stacked architectures affect performance?

Stacked architectures run separate modules with their own processes, memory footprints, and I/O overhead. These layers consume resources before workloads get any. Platforms built as a single operating system eliminate this overhead and return capacity to production workloads.

Why is RAM optimization often overlooked?

Traditional virtualization platforms require per-guest memory allocation for storage caching. Each VM reserves RAM for its own cache whether it needs it or not, fragmenting memory and forcing organizations to overprovision. Infrastructure-level caching through a deduplicated storage pool eliminates this waste.

What is the difference between a hypervisor swap and platform modernization?

A hypervisor swap addresses licensing costs but preserves storage arrays, backup software, replication tools, and networking products that cost five times more than the hypervisor. Platform modernization replaces the entire stack with integrated compute, storage, networking, and data protection in a single migration.

When was VergeOS created?

VergeIO was founded in 2012 to build infrastructure software for Cloud Service Providers. The platform later expanded to Managed Service Providers and then enterprises. VMware migration capabilities were added after the architecture was already mature. The VMware disruption created market awareness, but the architecture predates Broadcom’s acquisition by more than a decade.

What does the DCIG TOP 5 recognition mean?

DCIG evaluated 19 VMware alternative solutions across more than 425 features spanning data resilience, deployment, licensing, management, modern infrastructure, and support. VergeOS was named a TOP 5 VMware Alternative for both SME and SLED markets, validating an architecture built to solve infrastructure challenges rather than capitalize on a temporary market condition.

Why are so many vendors suddenly offering VMware alternatives?

What happens when the VMware exit market evolves?

Why does vendor commitment matter more than features?

Why do vendors new to KVM struggle with support?

What is hardware independence and why does it matter?

How do stacked architectures affect performance?

Why is RAM optimization often overlooked?

What is the difference between a hypervisor swap and platform modernization?

A hypervisor swap addresses licensing costs while preserving storage arrays, backup software, replication tools, and networking products that cost five times as much as the hypervisor. Platform modernization replaces the entire stack with integrated compute, storage, networking, and data protection in a single migration.

When was VergeOS created?

What does the DCIG TOP 5 recognition mean?

Filed Under: VMwareExit Tagged With: Alternative, VMware

February 2, 2026 by George Crump

The conventional wisdom is to move from VMware to an alternative hypervisor, but should organizations move from VMware to private cloud instead? VMware licensing pressure affects enterprises of all sizes. The default response swaps hypervisor vendors. The better response evaluates whether private cloud infrastructure actually addresses the operational and economic problems driving VMware’s exit, especially given the second crisis of rising RAM and flash prices.

Key Takeaways

VMware exits should evaluate private cloud infrastructure, not just alternative hypervisors. Hypervisor swaps address licensing costs but preserve fragmented infrastructure complexity.
Private cloud extends abstraction to the entire infrastructure. Compute, storage, networking, and data protection consolidate into one platform with a single control plane.
Four servers is minimum viable scale. Private cloud platforms like VergeOS require at least two nodes for production, but four nodes provide comfortable headroom and scale naturally to hundreds.
Hardware retention changes the economics. VergeOS runs on existing x86 servers without vendor restrictions, dropping capital requirements to near zero for organizations with serviceable hardware.
Efficiency improvements reduce server requirements. Platform-level caching and 3X to 4X deduplication increase VM density, allowing organizations to run more workloads on fewer servers.
Two private cloud models operate differently. Orchestrated platforms (Dell Private Cloud) coordinate separate products through automation. Integrated platforms (VergeOS) consolidate functions into one operating system.
Growth happens without architectural changes. Adding nodes extends capacity automatically without redesigning storage arrays, SAN fabrics, or backup infrastructure.
Private cloud addresses the operational problem. Hypervisor swaps address licensing problems. Organizations should choose based on which problem costs more.

VMware exits create an opportunity to consolidate infrastructure rather than just swap hypervisor vendors. For organizations running four or more servers, this consolidation path delivers better outcomes than replacing the hypervisor alone. The question is not which hypervisor to choose. The question is whether you rebuild the same fragmented architecture with a different hypervisor or move to a private cloud infrastructure that actually simplifies operations.

Key Terms

Private Cloud: Infrastructure architecture that extends abstraction beyond compute to include software-defined storage, virtualized networking, and infrastructure-aware data protection managed through a single control plane.
Virtualization: Technology that abstracts physical servers into virtual machines using a hypervisor, but leaves storage, networking, and data protection as separate traditional infrastructure components.
Orchestrated Private Cloud: Private cloud architecture that coordinates separate products (compute servers, storage arrays, hypervisors) through automation layers. Each component retains its own lifecycle and management requirements.
Integrated Private Cloud: Private cloud architecture that consolidates compute, storage, networking, and data protection as native capabilities of a single operating system without separate products requiring coordination.
Hardware Abstraction: Platform capability that treats physical servers as pooled capacity resources rather than individual systems, enabling workload distribution and hardware refresh without migration projects.
Platform-Level Caching: Caching mechanism that operates at the infrastructure platform level rather than within individual VMs, reducing per-VM RAM requirements and participating in global deduplication.
Control Plane: The management layer that governs infrastructure operations. Fragmented control planes require coordinating multiple products. Unified control planes manage all infrastructure functions through one system.
Software-Defined Storage: Storage architecture that distributes data across cluster nodes through software rather than requiring external storage arrays, eliminating separate storage refresh cycles and SAN fabric dependencies.

Virtualization vs. Private Cloud: Understanding the Difference

The distinction between virtualization and private cloud determines your operational model for the next decade. Virtualization abstracts servers. A hypervisor carves physical servers into virtual machines. Storage remains external, networking remains physical, and data protection requires separate products. Teams manage virtualization, but everything else stays traditional.

Private cloud extends abstraction to the entire infrastructure. Compute becomes virtualized. Storage becomes software-defined. Networking becomes virtualized. Data protection becomes infrastructure-aware. Hardware resources pool into a capacity managed through a single control plane.

The architectural difference matters for teams of any size. Virtualization creates expertise silos. Someone manages the hypervisor. Someone manages storage. Someone handles networking. Someone maintains backup infrastructure. Organizations with small teams spread individuals across multiple domains. Organizations with large teams build specialized groups that require coordination. The operational burden compounds as infrastructure grows.

Private cloud consolidates these domains into one operational model. Teams provision workloads by allocating resources from a shared pool rather than coordinating across products. Data protection happens through platform policies rather than a separate backup infrastructure. Capacity expansion means adding servers rather than evaluating whether storage arrays can handle additional load. The consolidation reduces operational overhead regardless of team size.

Three Servers to Three Hundred: Private Cloud Scales Across the Range

Private cloud deployments start small and scale naturally. Organizations evaluating private cloud wonder about the minimum viable scale. The answer depends on platform architecture rather than organization size.

Private cloud platforms like VergeOS require at least two nodes for production deployments. Three nodes provide better fault tolerance. Four nodes create comfortable capacity headroom for growth. VergeOS efficiency enables growth well beyond four servers within a single instance. Small organizations start at this scale and remain there. Large enterprises start pilot deployments at this scale before expanding to hundreds of nodes.

The operational model remains constant as scale increases. Teams managing four nodes use the same interface, same procedures, and same troubleshooting approach as teams managing four hundred nodes. Operational knowledge compounds rather than fragments. Skills developed at a small scale remain valuable at a large scale. The platform handles workload distribution, data placement, and failure recovery automatically, regardless of node count.

Private Cloud Hardware Retention Changes the Economics

Most VMware alternatives assume a hardware refresh accompanies a hypervisor change. You buy new servers, deploy the new platform, migrate workloads, and decommission old hardware. Capital requirements double during migration. The financial burden delays projects or forces compromises in capacity. RAM and flash storage prices compound the problem.

Private cloud platforms supporting broad hardware compatibility change the economic equation. VergeOS runs on commodity x86 servers without vendor restrictions. Organizations install the platform on existing servers and continue using that hardware as the software layer modernizes. Capital requirements drop to near zero for organizations with serviceable hardware.

Hardware abstraction protects existing investments and creates procurement flexibility. Refresh decisions focus on capacity requirements and price performance rather than vendor certification matrices. Organizations buy hardware based on economics rather than platform mandates. The separation between software value and hardware cost clarifies total cost of ownership in ways vendor-locked platforms cannot match.

Private Cloud Efficiency Improvements

Efficiency gains determine whether the private cloud justifies the migration effort. Private cloud platforms deliver efficiency improvements that hypervisor swaps alone cannot match. VergeOS customers increase VM density per physical host compared to their previous VMware deployments. The improvement comes from how the platform manages resources, not just how it schedules workloads.

VergeOS includes platform-level caching that reduces VM-level RAM allocation requirements. Traditional virtualization requires each VM to carry its own cache allocation. Platforms must over-provision RAM to account for caching overhead across all VMs.

VergeOS handles caching at the platform level, so each VM requires less RAM but maintains performance. Platform-level caching participates in VergeOS global inline deduplication, making it 3X to 4X more effective.

The practical result is that the same physical servers support more VMs running on a private cloud platform than they did running traditional virtualization. Organizations need fewer servers than they planned. Teams that planned six-node deployments find four nodes sufficient. Teams running four nodes now have the capacity headroom they lacked before.

Processor requirements also decline. VergeOS integrates virtualization, storage, and networking into a single codebase. The integration eliminates the overhead of coordinating separate products. Traditional virtualization stacks dedicate CPU cycles to managing relationships between the hypervisor, storage arrays, and network infrastructure. Private cloud platforms reclaim those cycles for actual workloads.

Scaling Without Architectural Changes

Organizations evaluating private cloud need platforms that support growth trajectories. Three servers today become six servers next year. Six servers become twelve servers over three years. Platforms must accommodate growth without architectural changes or migration projects.

Private cloud platforms handle growth naturally. You add nodes to the system. Platforms automatically redistribute workloads, extend storage capacity, and increase network bandwidth.

There is no storage array that must be refreshed separately from servers. There is no SAN fabric to redesign. There is no separate backup infrastructure to scale independently. Growth means adding capacity rather than coordinating procurement across multiple products.

Large enterprises benefit from the same model. Adding 100 servers uses the same process as adding 1 server. The platform scales linearly without introducing new operational patterns or management tools. Complexity remains constant as capacity grows.

Not All Private Clouds Are the Same

Understanding the architectural distinction between private cloud models prevents costly platform selection errors. The term “private cloud” gets applied to architectures that operate very differently. Learn more about the different types of Private Cloud in our upcoming webinar and demonstration.

Orchestrated Private Clouds

Orchestrated private clouds coordinate separate products through automation layers. Dell Private Cloud, its alternative to VxRail, exemplifies this approach. Platforms combine external storage arrays, separate hypervisors, and automation tooling to make disparate components act as one system.

Orchestration works until system interdependencies fail. Storage upgrades happen independently from compute refreshes. Hypervisor patches follow different schedules than storage firmware. Failures cascade across product boundaries. Automation masks complexity rather than eliminating it. Coordination overhead accumulates over time. The orchestrated model collapses under its own weight as scale increases.

Private Cloud Operating System

Private Cloud Operating Systems consolidate infrastructure functions into one platform. VergeOS represents this approach. Compute, storage, networking, and data protection run as native capabilities of a single operating platform.

There are no separate products to coordinate. The integration allows organizations to migrate from VMware quickly and gradually expand into full private cloud capabilities. You start by replacing the hypervisor. You end up with a consolidated infrastructure that runs on fewer servers and is less complex. Integration delivers durability that orchestration cannot match.

The architectural difference determines operational reality. Orchestrated platforms require teams to understand and manage multiple products. Private Cloud Operating Systems consolidate operational knowledge into one system. Small teams eliminate expertise silos. Large teams reduce coordination overhead between specialized groups.

When to Make the Move

VMware licensing pressure creates the immediate forcing function. Organizations must decide whether to swap hypervisors or consolidate infrastructure. Several indicators suggest that private cloud delivers better outcomes than hypervisor replacement alone.

Your team manages multiple infrastructure silos. Storage teams operate independently from virtualization teams. Network teams coordinate separately. Backup teams run their own infrastructure. The coordination overhead consumes time and creates friction. Private cloud consolidates these silos into one operational model.

Hardware refresh cycles never align. Storage refreshes happen on different timelines than server refreshes. Network infrastructure updates independently. You coordinate procurement across multiple product families rather than managing one platform lifecycle. Private cloud unifies refresh cycles into platform expansion events.

Troubleshooting crosses product boundaries. Performance problems require investigating compute utilization, storage array metrics, network bandwidth, and hypervisor scheduling separately. You coordinate across vendor support organizations. Private cloud troubleshoots within one system with unified diagnostics.

Capacity planning requires multi-product coordination. You evaluate whether storage arrays can support additional load before adding compute capacity. You assess network bandwidth separately from storage performance. Private cloud treats capacity as pooled resources allocated through platform policies.

Migration projects consume months rather than days. Moving from one hypervisor to another requires extensive planning, compatibility testing, and risk mitigation. Private cloud platforms supporting broad hardware compatibility run on existing servers. Migration timelines compress from months to weeks.

Efficiency improvements could avoid hardware purchases. RAM and flash prices make capacity expansions expensive. Platform-level caching and deduplication reduce resource requirements per VM. Organizations avoid server purchases through efficiency gains rather than capital expenditure.

The Path Forward

The VMware disruption creates space for organizations to modernize infrastructure in ways that were not previously feasible. The change can be incremental, swapping VMware for another hypervisor and keeping everything else the same. Or the change can be structural, consolidating infrastructure into a platform that actually reduces complexity.

For organizations running four or more servers, private cloud delivers what virtualization promised but never quite achieved. One platform replaces multiple products. One interface replaces multiple management tools. One operational model replaces coordinated complexity. Hardware investments remain protected. Efficiency improves. Costs drop.

The question is not which hypervisor to choose next. The question is whether your infrastructure requirements demand architectural consolidation or just license renegotiation. Private cloud addresses the operational problem. Hypervisor swaps address the licensing problem. Choose based on which problem actually costs your organization more.

Frequently Asked Questions

Why is four servers the minimum for private cloud?

Private cloud platforms like VergeOS require at least two nodes for production deployments to provide fault tolerance. Three nodes improve resilience. Four nodes create comfortable capacity headroom for growth and maintain full operational capability during hardware maintenance or failures.

Can I run VergeOS on my existing VMware hardware?

Yes. VergeOS runs on commodity x86 servers without vendor restrictions. Organizations install the platform on existing servers and continue using that hardware as the software layer modernizes. Capital requirements drop to near zero for organizations with serviceable hardware.

What’s the difference between orchestrated and integrated private cloud?

Orchestrated private clouds (like Dell Private Cloud) coordinate separate products through automation layers. Each component retains its own lifecycle and management requirements. Integrated private clouds (like VergeOS) consolidate compute, storage, networking, and data protection as native capabilities of a single operating system without separate products.

How does platform-level caching reduce VM RAM requirements?

Traditional virtualization requires each VM to carry its own cache allocation. VergeOS handles caching at the platform level, so each VM requires less RAM but maintains performance. Platform-level caching also participates in global inline deduplication, making it 3X to 4X more effective than VM-level caching.

Will I need fewer servers than I currently run with VMware?

Organizations moving to VergeOS discover they need fewer servers than planned. Teams that planned six-node deployments find four nodes sufficient. Teams running four nodes gain capacity headroom they lacked before. The efficiency comes from platform-level caching, deduplication, and eliminating coordination overhead between separate products.

Does private cloud work for large enterprises or just SMEs?

Private cloud works across the range. Small organizations start at four nodes and remain there. Large enterprises start pilot deployments at four nodes before expanding to hundreds. The operational model remains constant as scale increases. Teams managing four nodes use the same interface and procedures as teams managing four hundred nodes.

How long does migration from VMware to VergeOS take?

Private cloud platforms supporting broad hardware compatibility run on existing servers. Migration timelines compress from months to weeks. VergeOS runs on current hardware, eliminating the need to purchase parallel infrastructure, deploy new platforms, and coordinate forklift migrations.

When should I choose private cloud over hypervisor replacement?

Choose private cloud over hypervisor replacement if your team manages multiple infrastructure silos, hardware refresh cycles never align, troubleshooting crosses product boundaries, capacity planning requires multi-product coordination, or efficiency improvements could avoid hardware purchases. Private cloud addresses operational problems. Hypervisor swaps address licensing problems.

Is four servers the minimum for private cloud?

No. Private cloud platforms like VergeOS require at least two nodes for production deployments to provide fault tolerance. Three nodes improve resilience. Four nodes create comfortable capacity headroom for growth and maintain full operational capability during hardware maintenance or failures.

Can I run VergeOS on my existing VMware hardware?

What’s the difference between an orchestrated and an integrated private cloud?

Orchestrated private clouds (such as Dell Private Cloud) integrate separate products through automation layers. Each component retains its own lifecycle and management requirements. Integrated private clouds (such as VergeOS) consolidate compute, storage, networking, and data protection as native capabilities within a single operating system, without separate products.

How does platform-level caching reduce VM RAM requirements?

Will I need fewer servers than I currently run with VMware?

Organizations moving to VergeOS discover they need fewer servers than planned. Teams that planned six-node deployments find four nodes sufficient. Teams running four nodes regain the capacity headroom they previously lacked. The efficiency comes from platform-level caching, deduplication, and the elimination of coordination overhead between separate products.

Does private cloud work for large enterprises or just SMEs?

How long does migration from VMware to VergeOS take?

When should I choose a private cloud over a hypervisor replacement?

Filed Under: Private Cloud Tagged With: Alternative, IT infrastructure, VMware

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