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      • Abstracted Infrastructure Saves Automation**40-Word Excerpt:** Infrastructure automation fails when hardware differences between production and DR sites force separate code paths. Abstracted infrastructure eliminates these variables by presenting consistent interfaces regardless of underlying equipment. Organizations gain automation that works identically across all environments, enabling reliable disaster recovery and portable infrastructure-as-code.
      • Fragmented Infrastructure Breaks AutomationTraditional virtualization stacks force complexity into automation pipelines. Packer requires multiple image variants. Terraform modules fill with conditional logic. Ansible roles need hardware detection for every cluster. VergeOS changes this by abstracting services from hardware, giving teams one API and consistent behavior across environments. Automation becomes predictable, not brittle.
      • The Proxmox Storage TaxHere is a clean 35-word excerpt: Excerpt (35 words): Proxmox’s zero licensing cost hides a growing storage tax created by ZFS, Ceph, and external arrays. Capacity waste, expertise demands, and operational overhead increase costs. VergeOS removes these taxes through global deduplication and unified architecture.
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Alternative

December 17, 2025 by George Crump

Abstracted infrastructure saves automation by eliminating the variables that cause deployment failures across locations. When hardware differences become invisible to automation code, organizations gain the reliability that infrastructure-as-code promises.

Key Takeaways

Abstracted infrastructure saves automation by eliminating hardware variables that cause deployment failures. When the infrastructure operating system presents consistent interfaces regardless of underlying equipment, automation code works identically across production, DR, test, and edge environments without modification. Hardware refresh cycles no longer break automation pipelines.

Virtual data centers encapsulate complete environments as single objects. A VDC contains compute resources, storage volumes, network topologies, and protection policies in one logical construct. Terraform modules manipulate VDCs as units rather than coordinating separate infrastructure components. When a VDC replicates to a DR site, the entire environment arrives ready to activate.

VMware exits create natural migration windows for infrastructure simplification. Organizations can address architectural fragmentation during hypervisor transitions rather than maintaining three-tier complexity under a different vendor. Unified platforms eliminate expensive storage arrays in favor of affordable commodity SSDs while delivering both VMware replacement and automation reliability in one transition.

Traditional three-tier architecture exposes hardware details to automation tools:

  • Packer must build multiple image variants for different storage backends
  • Terraform modules must account for specific storage array APIs
  • Ansible roles must handle different network switch configurations
  • Monitoring integrations must adapt to vendor-specific metric formats
abstracted infrastructure saves automation

This hardware dependency creates brittleness. Code that works in one environment fails in another when underlying components differ. Abstracted infrastructure saves automation by providing consistent infrastructure services regardless of the underlying hardware.

Key Terms & Concepts

Infrastructure Abstraction: The practice of hiding hardware-specific details from automation tools by presenting consistent infrastructure services through a unified API, allowing automation code to remain stable across equipment changes and locations.

Virtual Data Center (VDC): A VergeOS construct that encapsulates an entire environment as a single object, including compute resources, storage volumes, network topologies, and protection policies, enabling automation tools to manipulate complete infrastructures as units.

Commodity Storage: Standard SATA and NVMe SSDs installed directly in servers rather than proprietary external storage arrays. VergeOS uses commodity drives to eliminate vendor-specific APIs and reduce infrastructure costs while maintaining enterprise capabilities.

Platform Abstraction Layer: The component of an infrastructure operating system that translates service-level definitions into hardware-specific configurations while presenting stable interfaces to automation tools and guest operating systems.

Service-Level Definition: Infrastructure specifications that describe capacity requirements, performance characteristics, and isolation policies without referencing specific hardware models or vendor features.

Where Abstracted Infrastructure Enables Success

A healthcare provider operates production infrastructure in their primary data center with DR capacity at a secondary facility. The production environment runs on servers that are one year old. The DR site runs on seven-year-old servers that were once in production. Both environments must support identical electronic health record systems with strict recovery time objectives.

The infrastructure team deploys VergeOS at both locations. The unified infrastructure operating system integrates storage, compute, and networking into a single platform with one API. VergeOS uses commodity SATA and NVMe SSDs installed directly in servers rather than external storage arrays, eliminating both array-specific APIs and the costs of proprietary hardware while entirely abstracting differences between production and DR hardware.

The team uses Packer to build golden images for their application servers. One template creates images that work at both sites without storage-backend-specific drivers or hardware-specific configurations. VergeOS provides consistent storage and network interfaces to guest operating systems regardless of underlying hardware, so boot behavior remains predictable, and device mappings stay constant across sites.

Terraform modules define virtual data centers (VDC) using these golden images. Each VDC encapsulates compute resources, storage volumes, network configurations, and protection policies into a single object, accessible through VergeOS APIs without requiring hardware-specific commands.

During quarterly DR testing, the automation pipeline executes identically at both sites. Packer images deploy without modification. Terraform provisioning succeeds despite different underlying hardware generations. Network configurations work correctly across switch types. Monitoring functions uniformly across equipment ages. The DR test completes in minutes, meeting the four-hour RTO requirement and building confidence that actual disaster scenarios will follow the same reliable pattern.

Abstracted infrastructure saves automation by making hardware differences irrelevant to deployment code.

Abstracted Infrastructure Saves Automation Pipelines

Traditional infrastructure exposes hardware details via separate management APIs, forcing Packer to account for storage-array variations during image creation. Different storage vendors require different guest tools, device drivers, and boot configurations. Teams maintain multiple image variants—one for each array vendor, including legacy systems that resist replacement.


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This fragmentation extends through the entire automation chain. Storage arrays from different vendors require different Terraform providers. Network equipment from different generations needs different Ansible modules. Organizations attempt to solve this through conditional logic, where templates detect target platforms and branch accordingly, creating fragile code that breaks when hardware changes.

Hardware refresh cycles clearly demonstrate the problem. Production gets new storage arrays with different firmware, and Packer images that worked for years suddenly fail because arrays present storage differently. Device mappings change. Teams rebuild image variants for new hardware while Terraform modules update to reference new image IDs. Weeks pass as the pipeline is updated to accommodate vendor-specific changes, while DR sites drift further from production.

Abstracted infrastructure saves automation by eliminating this maintenance burden. VergeOS presents stable interfaces to both automation tools and guest operating systems while handling hardware variations internally. The platform uses affordable commodity SATA and NVMe SSDs instead of proprietary storage arrays, abstracting drive differences through the infrastructure OS. Packer builds one golden image that works everywhere. Terraform modules remain unchanged during equipment refreshes. The automation code stays focused on application requirements rather than storage vendor compatibility.

abstracted infrastructure saves automation

VergeOS Virtual Data Centers Provide Abstracted Infrastructure

VergeOS is an example of how abstracted infrastructure saves automation by implementing abstraction as a core design principle. The virtual data center architecture treats an entire environment as a single, encapsulated object, with compute resources, storage volumes, network topologies, and protection policies existing within a single logical construct.

Packer templates build images by launching temporary VMs within a VDC, provisioning software through Ansible, and capturing the configuration. The golden images work across all VergeOS deployments because the platform maintains consistent guest interfaces, ensuring that boot behavior remains predictable, storage device names remain constant, and network adapter ordering does not shift between hardware generations.

abstracted infrastructure saves automation

Terraform modules define VDCs through the VergeOS API with a single resource block that creates complete infrastructure. The module specifies capacity requirements, performance characteristics, and network isolation policies, and references Packer-built golden images. VergeOS translates these service-level definitions into hardware-specific configurations tailored to whatever equipment exists at that location.

Storage provisioning demonstrates the abstraction effectively. A Terraform module requests storage with specific IOPS and capacity targets without specifying drive types, data protection configurations, or vendor-specific features. VergeOS allocates storage from available commodity SSDs while meeting performance requirements. The same module works identically whether the site runs older SATA SSDs or newer NVMe drives, abstracting drive performance differences at the platform level.

This approach eliminates both the complexity and cost of traditional storage arrays. Organizations deploy affordable commodity drives instead of proprietary storage systems while gaining consistent automation behavior across all hardware generations. The infrastructure OS handles data protection, performance optimization, and capacity management internally.

Protection policies integrate at the VDC level. Snapshot schedules, replication targets, and retention policies attach to the virtual data center object. When the VDC replicates to a DR site, protection policies replicate along with golden images and infrastructure definitions. Teams do not rebuild backup configurations or re-create images at the remote location—the complete environment arrives ready to activate.

VMware Exit And Abstracted Infrastructure

Organizations evaluating VMware alternatives face a strategic decision point. Infrastructure automation should be part of your VMware exit strategy, not an afterthought. The disruption of migration creates a natural opportunity to address the architectural fragmentation that undermines automation reliability.

Traditional VMware exits maintain a three-tier architecture while swapping hypervisors. Teams update their automation to call different APIs but preserve the underlying fragmentation. External storage arrays remain with their vendor-specific interfaces. Network fabrics operate separately. The automation complexity persists under a different vendor name.

Unified infrastructure platforms eliminate this pattern by integrating storage, compute, and networking from the start. Organizations gain both a VMware replacement and infrastructure simplification in one transition. The approach also eliminates expensive storage arrays in favor of affordable commodity SSDs, reducing capital costs while improving automation reliability. The timing aligns naturally with storage refresh cycles, combining two disruptive projects into a single migration that delivers operational improvements and cost reduction alongside hypervisor alternatives.

The Abstracted Infrastructure Operational Advantage

Abstracted infrastructure saves automation by transforming the entire automation workflow. Packer images remain stable across infrastructure changes. Terraform deployments succeed predictably at any location. Ansible configurations apply consistently everywhere. The pipeline becomes reliable because the substrate supports it rather than resisting it.

DR testing evolves from a dreaded quarterly event into a routine validation. Tests execute reliably because automation behaves predictably. Teams validate business continuity plans rather than debugging infrastructure code differences, building confidence in actual disaster recovery through consistent test success.

Development and test environments gain production fidelity as teams create environments that mirror production characteristics without duplicating hardware. Packer images are built for production work in test environments. Developers test against infrastructure that behaves like production because the same platform manages both, reducing deployment surprises through consistent environments.

Abstracted infrastructure reduces automation overhead by eliminating hardware variables that cause deployment failures. Organizations gain reliable disaster recovery, predictable testing, portable infrastructure code, and lower storage costs. When the platform handles complexity internally using commodity hardware, automation tools deliver the consistency that makes infrastructure-as-code valuable.

Frequently Asked Questions

Why does hardware abstraction matter more for DR automation than production automation?

DR sites typically run on different hardware than production due to refresh cycles and budget constraints. Production might use newer equipment while DR runs on older servers. Without abstraction, this hardware difference forces separate automation code for each location, causing configuration drift and unreliable failover. Abstraction enables identical automation at both sites despite hardware age differences.

How does VergeOS eliminate the need for external storage arrays?

VergeOS uses commodity SATA and NVMe SSDs installed directly in servers rather than connecting to external storage arrays. The infrastructure operating system handles data protection, performance optimization, and capacity management internally. This eliminates vendor-specific storage APIs, reduces costs compared to proprietary arrays, and simplifies automation by removing an entire layer from the infrastructure stack.

Can existing Packer templates be migrated to VergeOS, or do they require complete rewrites?

Existing Packer templates typically require modification but not complete rewrites. The provisioning logic (installing software, configuring settings) remains the same. Changes focus on removing storage-array-specific drivers and hardware-dependent configurations that are no longer needed. Templates become simpler because VergeOS presents consistent storage and network interfaces that do not require conditional logic for different backends.

What happens to automation when hardware gets refreshed at one site but not others?

Nothing. The automation continues working unchanged. VergeOS abstracts hardware differences at the platform level, so new servers with different drive types or network adapters join clusters without requiring updates to Packer templates, Terraform modules, or Ansible playbooks. The infrastructure operating system handles the hardware variations internally while maintaining consistent interfaces to automation tools.

How does virtual data center replication differ from traditional storage replication?

Traditional storage replication copies data at the array level, requiring separate systems to rebuild infrastructure definitions and configurations at the DR site. VDC replication copies the entire environment as one object including compute definitions, network topologies, protection policies, and golden images. When the VDC arrives at the DR site, it is ready to activate without rebuilding configurations or coordinating across multiple systems.

Does abstraction mean vendor lock-in to VergeOS?

Abstraction trades infrastructure complexity for platform dependency. Traditional multi-vendor approaches avoid platform lock-in but create automation lock-in through hardware-specific code that becomes difficult to migrate. VergeOS creates platform dependency but eliminates automation complexity. The decision depends on whether infrastructure fragmentation or platform dependency poses greater long-term risk and cost to your organization.

Can development and test environments use older hardware than production?

Yes. This is one of the key benefits of abstraction. Development and test environments can run on repurposed hardware that production retired years ago. The same Packer images deploy successfully. The same Terraform modules provision infrastructure correctly. Applications behave identically because VergeOS maintains consistent interfaces regardless of underlying equipment age or performance characteristics.

How does this approach affect VMware migration timelines?

Organizations can combine VMware exit with infrastructure simplification in one project rather than sequential migrations. This reduces total disruption time and delivers both hypervisor replacement and automation improvements together. The unified approach also eliminates storage array refresh as a separate project because VergeOS uses commodity drives instead of external arrays.

What monitoring changes are required when moving to abstracted infrastructure?

Monitoring simplifies significantly. Organizations replace vendor-specific Prometheus exporters for storage arrays, backup software, and hypervisors with a single exporter that queries VergeOS APIs. Grafana dashboards consolidate because metrics follow consistent structures across all infrastructure components. Alert rules simplify because the platform exposes standardized telemetry regardless of underlying hardware variations.

How quickly can organizations see ROI from infrastructure abstraction?

Time savings appear immediately during the first DR test when automation works identically at both sites without debugging. Ongoing savings accumulate through reduced maintenance as hardware refreshes occur without automation updates. Cost savings from eliminating proprietary storage arrays and reducing administrative overhead typically deliver measurable ROI within the first year.

Why does hardware abstraction matter more for DR automation than production automation?

DR sites typically run on different hardware than production due to refresh cycles and budget constraints. Production might use newer equipment while DR runs on older servers. Without abstraction, this hardware difference forces separate automation code for each location, causing configuration drift and unreliable failover. Abstraction enables identical automation at both sites despite hardware age differences.

How does VergeOS eliminate the need for external storage arrays?

VergeOS uses commodity SATA and NVMe SSDs installed directly in servers rather than connecting to external storage arrays. The infrastructure operating system handles data protection, performance optimization, and capacity management internally. This eliminates vendor-specific storage APIs, reduces costs compared to proprietary arrays, and simplifies automation by removing an entire layer from the infrastructure stack.

Can existing Packer templates be migrated to VergeOS, or do they require complete rewrites?

Existing Packer templates typically require modification but not complete rewrites. The provisioning logic (installing software, configuring settings) remains the same. Changes focus on removing storage-array-specific drivers and hardware-dependent configurations that are no longer needed. Templates become simpler because VergeOS presents consistent storage and network interfaces that do not require conditional logic for different backends.

What happens to automation when hardware gets refreshed at one site but not others?

Nothing. The automation continues working unchanged. VergeOS abstracts hardware differences at the platform level, so new servers with different drive types or network adapters join clusters without requiring updates to Packer templates, Terraform modules, or Ansible playbooks. The infrastructure operating system handles the hardware variations internally while maintaining consistent interfaces to automation tools.

How does virtual data center replication differ from traditional storage replication?

Traditional storage replication copies data at the array level, requiring separate systems to rebuild infrastructure definitions and configurations at the DR site. VDC replication copies the entire environment as one object including compute definitions, network topologies, protection policies, and golden images. When the VDC arrives at the DR site, it is ready to activate without rebuilding configurations or coordinating across multiple systems.

Can development and test environments use older hardware than production?

Yes. This is one of the key benefits of abstraction. Development and test environments can run on repurposed hardware that production retired years ago. The same Packer images deploy successfully. The same Terraform modules provision infrastructure correctly. Applications behave identically because VergeOS maintains consistent interfaces regardless of underlying equipment age or performance characteristics.

How does this approach affect VMware migration timelines?

Organizations can combine VMware exit with infrastructure simplification in one project rather than sequential migrations. This reduces total disruption time and delivers both hypervisor replacement and automation improvements together. The unified approach also eliminates storage array refresh as a separate project because VergeOS uses commodity drives instead of external arrays.

What monitoring changes are required when moving to abstracted infrastructure?

Monitoring simplifies significantly. Organizations replace vendor-specific Prometheus exporters for storage arrays, backup software, and hypervisors with a single exporter that queries VergeOS APIs. Grafana dashboards consolidate because metrics follow consistent structures across all infrastructure components. Alert rules simplify because the platform exposes standardized telemetry regardless of underlying hardware variations.

How quickly can organizations see ROI from infrastructure abstraction?

Time savings appear immediately during the first DR test when automation works identically at both sites without debugging. Ongoing savings accumulate through reduced maintenance as hardware refreshes occur without automation updates. Cost savings from eliminating proprietary storage arrays and reducing administrative overhead typically deliver measurable ROI within the first year.

Filed Under: Virtualization Tagged With: Alternative, Infrastructure as Code, IT infrastructure, VMware

December 3, 2025 by George Crump

Organizations evaluating Proxmox as a VMware alternative expect zero licensing costs, but they will also experience the Proxmox storage tax. This tax manifests itself in operational overhead, capacity inefficiency, and architectural compromises that extract payment in different ways. Proxmox offers ZFS for node-local storage and Ceph for distributed storage, each levying its own tax. A third option, external all-flash arrays, reintroduces the siloed infrastructure that drove organizations away from VMware in the first place.

Key Terms (Click to Expand)

Storage Tax: Hidden costs in operational overhead, capacity inefficiency, and architectural complexity that offset zero licensing fees in Proxmox deployments.

Per-Node Deduplication: Data reduction that operates independently on each server, missing duplicate data across multiple nodes in a cluster.

Global Deduplication: Data reduction that identifies and eliminates duplicate blocks across all nodes and workloads in an infrastructure.

SRE-Level Expertise: Site Reliability Engineering knowledge required to deploy and manage complex distributed systems like Ceph.

Rehydration Cycle: The process of expanding deduplicated data to full size for transmission, then re-deduplicating at the destination, consuming bandwidth and extending backup windows.

Infrastructure Operating System: A platform that unifies compute, storage, networking, and protection into a single codebase with shared metadata, eliminating coordination between independent subsystems.


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The ZFS Storage Tax

ZFS provides strong integrity features with checksumming, compression, and flexible RAID configurations. However, ZFS operates as a node-local construct—each Proxmox node maintains its own independent pool. The first tax arrives immediately: VMs cannot migrate freely because storage doesn’t follow the workload. Proxmox addresses this through asynchronous replication, but it introduces RPO windows during which data can be lost if the source node fails.

This capacity tax compounds the problem. Most deployments disable ZFS’s mature deduplication due to substantial RAM and CPU overhead. When enabled, deduplication operates per-node only—the same Windows image deployed across five nodes consumes five times the storage. In many-to-one DR scenarios, ten production nodes replicating to a single DR target could require ten times the logical capacity because each stream arrives independently. Organizations pay the storage tax at both production and DR sites.

Eliminating the ZFS Tax: VergeFS provides a global storage model spanning every node in the cluster. VMs move freely because every node sees the same metadata, block references, and deduplication catalog. Global inline deduplication covers every block across every workload without per-node RAM overhead. That Windows image used across twenty VMs consumes the space of a single image. DR targets receive unique deduplicated blocks—no duplicate tax at the DR site.

The Ceph Storage Tax

Ceph takes the opposite approach, providing distributed object storage that eliminates VM mobility problems. The tax here is expertise. Ceph demands SRE-level knowledge—the same discipline Google developed for hyperscale operations. Deployment requires understanding placement groups, CRUSH maps, and OSD management. Each client maintains a CRUSH map and performs placement calculations for every I/O operation, consuming CPU cycles that scale with cluster complexity. This is the compute tax—resources diverted from production workloads to storage overhead.

Ceph also levies a capacity tax. Production-ready deduplication doesn’t exist for VM workloads. Organizations accept inflated storage costs or implement separate deduplication at backup layers—paying for another product to solve a problem the platform should handle. Ceph’s redundancy models compound the burden—replicated pools require 3x raw storage for 1x usable capacity.

Eliminating the Ceph Tax: VergeOS delivers shared storage and VM mobility without Ceph’s expertise tax. There are no CRUSH maps to configure, no placement groups to tune, no OSD management overhead—storage scales linearly as nodes are added, with the platform automatically distributing data. No SRE team required. No compute cycles lost to placement calculations.

The External Array Storage Tax

Some organizations consider connecting Proxmox to external all-flash arrays. This path levies the most visible tax: premium controller pricing with excessive storage media markups—7X or more. Organizations pay not just for capacity but for proprietary hardware that could be replaced with commodity alternatives.

eliminate the Proxmox storage tax

The operational tax follows. Storage professionals comfortable with VMware’s vCenter face a learning curve with Proxmox’s Linux-centric management while still managing a separate array console. Scaling demands forklift upgrades rather than incremental growth—a capital expenditure tax that arrives every few years. Storage I/O traverses additional network hops, imposing a latency tax that integrated architectures avoid.

The dedicated-array approach essentially recreates the VMware-era architecture—expensive, siloed, and operationally fragmented—while eliminating the cost advantage that attracted organizations to Proxmox.

Eliminating the Array Tax: VergeOS removes the need for external arrays. Storage integrates directly into the Infrastructure Operating System, eliminating premium controller costs and proprietary markup. Organizations leverage commodity servers and standard storage media while achieving better efficiency through global deduplication than dedicated arrays deliver at their premium prices. Like arrays, VergeOS scales compute and storage independently with storage-only and compute-only nodes—but without vendor lock-in or forklift upgrades.

Storage ApproachStrengthsLimitations / “Tax”How VergeOS Eliminates the Tax
ZFS (Node-Local)Strong integrity, snapshots, and flexible RAIDPer-node dedupe, limited VM mobility, DR multiplies capacityGlobal storage, global dedupe, shared metadata, cluster-wide mobility
Ceph (Distributed)Shared storage, high resilienceRequires SRE expertise, no production dedupe, high CPU cost, 3x replication overheadShared storage without Ceph complexity, plus inline global dedupe
External Flash ArraysMature features, consistent performance7X+ media markup, vendor lock-in, forklift upgrades, added latencyCommodity hardware, integrated storage, no external array dependency
VergeFS (Integrated)Global dedupe, shared metadata, mobility, built-in protectionN/AUnifies compute, storage, and protection

The Data Protection Tax

Regardless of storage path, Proxmox requires Proxmox Backup Server or a third-party alternative for comprehensive data protection—another product to license, deploy, and manage. When production storage uses deduplication, data must be rehydrated to full size before transmission to PBS, which then re-deduplicates. This dedupe-rehydrate-dedupe cycle imposes a bandwidth tax, extends backup windows, and complicates recovery operations. Large environments pay the ultimate tax: recovery times measured in hours or days.

Eliminating the Protection Tax: VergeOS addresses data protection through integrated snapshots, ioReplicate, and ioFortify—eliminating rehydration cycles. Creating a snapshot is a metadata operation that completes in seconds regardless of data volume. Snapshots become independent, space-efficient, immutable clones. Recovery from ransomware involves advancing metadata to a known-good point—an operation that completes in seconds even for 100TB or 100PB environments—no separate backup product required.

The DR Tax

eliminate the Proxmox storage tax

Cross-site resilience with Proxmox requires different approaches depending on the storage backend, each extracting its own tax. ZFS environments combine asynchronous replication with backup-based DR through PBS. Ceph offers RBD mirroring or stretch clusters—each with distinct complexity taxes. External arrays introduce their own DR mechanisms requiring matching arrays at both locations, doubling hardware investment.

Organizations pay the coordination tax: aligning array-level replication with Proxmox VM configurations, ensuring replicated volumes match VM definitions, and spanning multiple management interfaces during failover.

Eliminating the DR Tax: Disaster recovery follows a single architectural pattern in VergeOS. Administrators create a Virtual Data Center at the DR location. ioReplicate sends deduplicated block changes to that VDC. VM configurations, networking rules, storage references, and protection policies remain consistent because they operate within the same Infrastructure Operating System. No coordination tax. No matching hardware tax. DR becomes an extension of the platform.

DR readiness is more crucial than choosing a VMware alternative hypervisor. If disaster recovery isn’t possible, the hypervisor you initially chose becomes irrelevant. Most hypervisors fall short of VMware’s DR capabilities, but VergeOS surpasses them by offering better DR features, reducing costs, and simplifying recovery management.

Key Takeaways

  • Proxmox’s zero licensing cost conceals significant storage taxes in operational overhead and capacity inefficiency.
  • ZFS per node deduplication multiplies storage requirements across clusters and DR sites.
  • Ceph demands SRE level expertise, creating ongoing operational costs most organizations underestimate.
  • External arrays reintroduce VMware era issues including premium pricing, vendor lock in, and siloed architecture.
  • VergeOS eliminates these taxes through global deduplication, unified architecture, and integrated data protection.


Stop Paying the Storage Tax

Proxmox’s zero licensing cost conceals taxes that arrive throughout the infrastructure lifecycle: capacity taxes from missing or per-node deduplication, expertise taxes from Ceph’s complexity, hardware taxes from external arrays, bandwidth taxes from rehydration cycles, and coordination taxes from multi-vendor DR.

VergeOS eliminates these taxes through a fundamentally different approach—an Infrastructure Operating System that unifies compute, storage, networking, and data protection into a single codebase. One update cycle. One management interface. One support team. No hidden taxes.

Storage is only one part of the infrastructure conversation when comparing Proxmox to VergeOS. Read our blog Comparing Proxmox to VergeOS to dive deeper into other important differences.

For production enterprise workloads, the Proxmox storage tax alone justifies evaluating an Infrastructure Operating System that eliminates these costs by design.

Frequently Asked Questions About Proxmox Storage Costs

What is the Proxmox storage tax?

The Proxmox storage tax refers to hidden operational costs, capacity inefficiencies, and architectural compromises that offset Proxmox’s zero licensing fee. These include per node deduplication limitations with ZFS, SRE level expertise requirements with Ceph, and premium hardware costs with external arrays.

Does ZFS deduplication work across Proxmox nodes?

No. ZFS deduplication operates per node only. The same data on five different nodes consumes five times the storage. This limitation extends to disaster recovery scenarios where many to one replication multiplies capacity requirements.

Why does Ceph require SRE level expertise?

Ceph demands distributed systems knowledge for deployment, tuning, and troubleshooting. Understanding placement groups, CRUSH maps, and OSD management requires skills beyond traditional storage administration, increasing operational costs.

Can external arrays eliminate Proxmox storage limitations?

External arrays solve some problems but introduce others, including high storage media markups, vendor lock in, forklift upgrade cycles, and the same siloed architecture organizations wanted to escape when leaving VMware.

How does VergeOS eliminate the Proxmox storage tax?

VergeOS provides global inline deduplication without per node overhead, shared storage without Ceph complexity, and integrated data protection without separate backup products, all within a unified Infrastructure Operating System.

What is the Proxmox storage tax?

The Proxmox storage tax refers to hidden operational costs, capacity inefficiencies, and architectural compromises that offset Proxmox’s zero licensing fee. These include per-node deduplication limitations with ZFS, SRE-level expertise requirements with Ceph, and premium hardware costs with external arrays.

Does ZFS deduplication work across Proxmox nodes?

No. ZFS deduplication operates per-node only. The same data on five different nodes consumes five times the storage. This limitation extends to DR scenarios where many-to-one replication multiplies capacity requirements.

Why does Ceph require SRE-level expertise?

Ceph requires knowledge of distributed systems for deployment, tuning, and troubleshooting. Understanding placement groups, CRUSH maps, and OSD management requires skills beyond traditional storage administration, increasing operational costs.

Can external arrays eliminate Proxmox storage limitations?

External arrays solve some problems but introduce others: 7X+ storage media markups, vendor lock-in, forklift upgrade cycles, and the same siloed architecture organizations wanted to escape from VMware.

How does VergeOS eliminate the Proxmox storage tax?

VergeOS provides global inline deduplication without per-node overhead, shared storage without Ceph complexity, and integrated data protection without separate backup products—all within a unified Infrastructure Operating System.

Filed Under: Storage Tagged With: Alternative, KVM, Proxmox, VMware

December 2, 2025 by George Crump

When IT professionals start comparing Proxmox to VergeOS, they often assume the decision centers on choosing a new hypervisor to replace VMware. The real decision is determining if virtualization, networking, availability, and data protection can function as a single system. A platform succeeds only when these elements move together.

Proxmox feels familiar to teams with strong Linux experience, giving the sense that a hypervisor swap offers a clean transition. That impression changes once teams evaluate how Proxmox connects compute, networking, storage, and protection. Each part operates independently, and administrators must keep those parts aligned.

VergeOS takes a different path by treating the hypervisor as a service inside an Infrastructure Operating System. Compute, storage, networking, mobility, and protection follow the same architectural rules across all nodes. Each service draws from the same metadata structure, eliminating the coordination work that modular platforms impose on the operator. Teams gain a predictable environment for migrations, failovers, and growth because the platform manages these functions as one system.

This distinction frames the rest of the comparison. A platform built from independent subsystems introduces drift, coordination work, and rising complexity as clusters grow. A platform that unifies core functions creates a consistent environment for mobility, networking, and recovery. The contrast becomes more apparent as teams examine how Proxmox and VergeOS behave under load, during failures, and during cluster expansion.

Comparing Proxmox to VergeOS: Architectures

A Modular Assembly of Independent Components

comparing Proxmox to VergeOS

Proxmox assembles its platform from separate elements. KVM supplies compute. Linux provides the operating base. ZFS, Ceph, or an external array can supply storage. Networking depends on Linux bridges, VLAN constructs, or Open vSwitch. Backup requires Proxmox Backup Server (PBS) or a third-party tool. Each component behaves well alone. None forms a unified architecture. While the Proxmox GUI attempts to hide the independence of these components, administrators must align these pieces before the environment can produce predictable results.

Networking as a Separate System

Networking highlights this pattern. Each Proxmox node implements Linux networking constructs for packet forwarding. Bridges, bonds, and VLAN definitions require manual configuration. Each option introduces its own behaviors and its own failure characteristics. When teams want consistent mobility, they must maintain identical configurations across nodes. Drift appears quickly because each node evolves with its own configuration history.

Storage Fragmentation Across the Cluster

Storage follows the same structure. ZFS delivers node-local storage. Ceph delivers distributed storage. External arrays centralize storage. Each model uses different tuning guidelines, scaling behaviors, and recovery patterns. Proxmox does not unify these components across the cluster. Administrators test combinations, confirm compatibility, and correct issues as nodes evolve. Flexibility increases, but so does the integration burden. We dive deeper into the challenges of storage in our white paper “Understanding the Proxmox Storage Challenges”, available exclusively to attendees of our upcoming webinar, “VergeOS or Proxmox, A Closer Look at VMware Successors.”

Protection and Availability in Separate Domains

Availability and protection follow the same split. The Proxmox HA manager operates independently from storage. PBS handles protection separately. Each follows different rules for recovery, retention, and consistency. Coordinating these functions becomes the operator’s responsibility. Proxmox delivers the parts. The user builds the system.

VergeOS Takes a Different Path

VergeOS embeds the hypervisor within an Infrastructure Operating System that integrates compute, storage, networking, protection, and availability. Each component behaves consistently because it belongs to the same architecture. Configuration applies across nodes. Updates follow one lifecycle. Configuration Drift does not accumulate. The integration work that Proxmox places on the operator becomes part of the VergeOS platform and is not a concern for IT administrators. Watch our CTO, Greg Campbell, dive deep into the VergeOS architecture in this LightBoard video.

Comparing Proxmox to VergeOS: Operational Models

Independent Lifecycles Create Complexity

Proxmox places significant operational responsibility on the administrator. Each subsystem updates independently and carries its own risks. ZFS and Ceph follow separate release cycles. Linux introduces kernel changes that influence device behavior. PBS adds another update stream. Administrators test combinations before deployment—the platform functions, but only when the operator maintains alignment across all layers.

Troubleshooting Requires Multi-Domain Expertise

Troubleshooting follows the same pattern. A performance issue might originate in ZFS, Ceph, networking, KVM, or PBS. Logs live in different places. Metrics flow through various tools. Expertise in one area does not always translate to another. Resolution time increases because the architecture introduces many potential fault paths.

VergeOS Delivers Operational Simplicity

VergeOS presents one operational model. Storage, networking, protection, and compute share the same metadata pool and control plane. Engineers run one update process. Troubleshooting follows one diagnostic path. The system understands where data lives, how networks map to workloads, and how protection applies. Far fewer unknowns exist. The environment behaves as a single platform rather than several connected parts.

Comparing Proxmox to VergeOS: Mobility, Resilience, and HA Behavior

Mobility Depends on Storage Choices in Proxmox

Mobility and availability expose architectural gaps quickly. Proxmox mobility depends on storage design. ZFS ties storage to one node. Ceph distributes storage but introduces requirements for cluster health and OSD stability. Replication intervals influence the likelihood of data loss. Failover timing depends on subsystem alignment. Administrators must coordinate most of these variables manually.

VergeOS Delivers Mobility Through Unified Metadata

VergeOS uses a single metadata pool that applies across the cluster. VM mobility becomes a function of reading shared metadata rather than coordinating separate systems. Availability improves because recovery follows one architecture that understands where data lives and how networks connect. Movement, placement, and recovery follow one consistent model. Even deduplication has an advantage over AFA-based deduplication since everything, virtualization, networking, AI, and storage are now deduplication aware.

Comparing Proxmox to VergeOS: Scaling the Platform

Growth Exposes Architectural Differences

Scaling introduces variation in Proxmox quickly. New nodes bring their own pools, network settings, and state. ZFS pools differ. Ceph rebalances. VLAN definitions drift. Each addition increases the coordination work required to maintain stability.

VergeOS Delivers Predictably Across Mixed Hardware

VergeOS grows by extending one architecture. New nodes access the same metadata, rules, and operational model. Mixed hardware joins the cluster easily. Customers often comment on how quickly they can expand VergeOS environments. Many describe it as the fastest expansion experience they have ever seen in a production environment.

Conclusion

The architectural difference between Proxmox and VergeOS shapes every operational outcome. Proxmox provides a modular platform that rewards teams with deep expertise across multiple domains. VergeOS delivers a unified Infrastructure Operating System that holds those domains together and dramatically simplifies IT operations.

Filed Under: Virtualization Tagged With: Alternative, KVM, Proxmox, VMware

November 12, 2025 by George Crump

Extending server longevity requires more than maintaining software compatibility, yet most virtualization and infrastructure software vendors don’t offer even that. Instead, they end hardware support after 4 or 5 years, long before the server has outlived its usefulness. This short timeline reflects how quickly software requirements outpace the systems they run on, not hardware failure or performance degradation. The result is a predictable refresh cycle that replaces hardware long before its physical limits are reached.

Compatibility alone does not keep older servers productive. Running software on legacy hardware is not the same as running it well. Performance declines with every new release. Component wear translates directly into downtime risk.

Extending server longevity demands infrastructure software that runs efficiently on existing hardware, delivering consistent performance without additional resources. It also requires protection that keeps applications and data available as servers age. VergeOS was built on that principle.

Why Vendors Don’t Prioritize Extending Server Longevity

Most virtualization and infrastructure platforms are not designed with extending server longevity as a core goal. Their architecture and development model make it difficult to maintain performance and reliability as hardware ages. Over time, this leads to the familiar four- to five-year refresh cycle that defines enterprise IT planning.

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Traditional virtualization software is built from multiple independent layers: a hypervisor, a virtual storage engine, a network virtualization component, and a management framework. Each layer consumes CPU cycles, memory, and I/O bandwidth. Vendors add new features by introducing additional modules that must interact with the existing management layer and hypervisor. Each module introduces its own background services and control processes. With every update, the total resource requirement grows.

The hardware does not inherently become obsolete. The software demands more. A version upgrade that improves functionality also increases CPU utilization and memory consumption. What begins as a minor performance reduction compounds over time until older servers cannot keep up. Replacement becomes the practical response.

This pattern does not stem from neglect or deliberate obsolescence. It is the natural outcome of building large, modular software that continues to expand. Features accumulate, interdependencies multiply, and the software relies on newer hardware generations to maintain responsiveness. The model favors innovation speed and feature breadth at the expense of long-term hardware usability.

VergeOS approaches infrastructure differently. By integrating compute, storage, and networking into a single codebase, the platform eliminates redundant modules and interprocess communication that drain resources in traditional architectures. New features are built directly into the existing framework, maintaining performance instead of eroding it.

Servers continue to perform well, stay reliable, and remain part of the production environment long after other platforms declare them outdated.

Extracting Modern Performance from Existing Hardware

Extending server longevity depends as much on software design as it does on hardware reliability. The physical systems inside a data center have far more capability than the software running on them fully uses. The limiting factor isn’t the hardware. It’s the architectural overhead introduced by complex, multi-layer virtualization stacks.

Each software layer adds its own control processes, scheduling mechanisms, and data translation routines. Over time, these layers stack up like filters, each one slowing the flow of compute and I/O. Hardware performance appears to decline when the underlying components are perfectly capable. The system is working harder to do the same amount of work.

VergeOS runs compute, storage, networking, and AI in a single, unified code base. There are no redundant services or handoffs between independent modules. Every operation travels the shortest possible path through the system. This design reduces CPU utilization, shortens I/O latency, and improves cache efficiency.

The platform restores balance between what hardware does and what the software allows it to do. By removing unnecessary translation layers, older servers run workloads at modern performance levels. Environments that once struggled with overhead-heavy hypervisors see measurable performance improvements simply by switching to a unified infrastructure model.

VergeOS customers exiting VMware report not only continuing to use their existing servers but also repurposing systems that VMware had already deprecated. These customers keep servers in production for eight to ten years, well beyond the typical refresh cycle, maintaining consistent performance and reliability.

Artificial Intelligence as an Example

Most vendors are adding AI as a set of external modules that sit on top of their existing stack. Each new layer brings its own management and resource overhead, increasing complexity and accelerating hardware refresh cycles.

VergeOS integrates AI directly. It includes AI as a service, built into the infrastructure operating system. The feature appears and activates with a toggle: no new layers, no extra configuration, and no performance penalty. Older servers contribute to AI initiatives by hosting GPUs or supporting complementary workloads. This design keeps infrastructure simple and extends the usefulness of servers into the AI era.

Overcoming Hardware Aging Through Software Design

Fans, power supplies, and storage devices wear out over time. Traditional virtualization platforms treat these events as interruptions, forcing downtime for replacement or triggering complex failover procedures that require external tools. VergeOS treats protection as an inherent part of its design, not a separate feature.

The platform continuously monitors every system component, watching for early indicators of degradation: rising temperatures, increased I/O latency, or power fluctuations. When it detects a potential issue, it alerts administrators long before the problem becomes critical. Maintenance happens during normal operations rather than during an emergency outage.

If a component fails unexpectedly, VergeOS isolates the affected node and automatically redistributes workloads across healthy servers in the instance. Using ioOptimize, it distributes those workloads intelligently to deliver the best possible performance with the remaining resources. Applications and data remain online without impacting performance. Users experience no interruption. VergeOS’s single-codebase architecture enables instant coordination of recovery operations without external orchestration or third-party clustering tools.

Protection extends beyond simple fault tolerance. The platform guards data using synchronous replication, also known as mirroring. This method provides immediate, real-time protection by maintaining identical copies of data across nodes. It introduces far less overhead than erasure coding or RAID and delivers high performance and low latency. VergeOS incorporates infrastructure-wide deduplication, which significantly reduces the capacity impact of mirroring.

When combined with ioGuardian, protection extends even further. The feature creates a third copy of critical data without the high cost of traditional three-way mirrors or a replication factor of 3. The result is superior data integrity and availability that goes beyond a three-way mirror at lower cost and without added infrastructure complexity.

These capabilities are part of VergeOS’s architectural foundation, not layered add-ons. All this protection comes included at no additional cost. VergeOS was designed with safety in mind from the start. By embedding it into the platform’s foundation, the need for add-on licensing or external recovery tools disappears. Every environment, regardless of size, has the same level of protection and availability.

Hardware aging no longer dictates risk. Servers reaching the end of their expected lifespan keep workloads running and data protected. This approach transforms hardware from a potential single point of failure into a flexible resource pool that evolves gracefully over time.

Conclusion: Redefining Modernization Through Extending Server Longevity

Most organizations are facing an infrastructure modernization problem; they are forced to update their infrastructure due to VMware upheaval and to support new workloads like AI. But modernization need not come at the expense of existing hardware. The right software delivers modernization and extends hardware life.

VergeOS customers experience measurable, lasting value. They routinely extend refresh cycles, reduce capital expenses, and keep servers in production for 8 to 10 years while maintaining full performance and reliability. Many also repurpose previously deprecated systems to support new workloads, from edge environments to AI infrastructure. These outcomes redefine modernization—proving that progress is not about replacement, but about achieving sustained capability and long-term return on investment.

Filed Under: Virtualization Tagged With: Alternative, HCI, Hyperconverged, IT infrastructure, UCI, VMware

November 7, 2025 by George Crump

Universities are leaving VMware

Universities are leaving VMware for two main reasons. First, the Broadcom acquisition changed the economics of virtualization. Second, premature hardware deprecation often forces server refreshes years earlier than scheduled. Educational discounts vanished. Per-core licensing turned predictable capital expenses into escalating operational costs. Support quality declined. For many institutions, the math no longer works.

The question is no longer whether to consider alternatives. The question is how to execute a successful exit without disrupting operations, exhausting small IT teams, or requiring massive capital investment.

Why Universities Are Leaving VMware

The reasons universities are leaving VMware remain consistent across institutions. Annual licensing costs that once ranged from $20,000 to $25,000 now climb to $45,000 to $55,000 or higher. For institutions operating on lean budgets, this represents money that could fund scholarships, faculty positions, or student services. VMware and competing platforms often require certified hardware or push expensive infrastructure upgrades. Universities with viable servers that are 3 to 5 years old are told they need to spend $50,000 to $70,000 on replacements.

Educational institutions report longer response times, unanswered support tickets, and reduced access to technical resources, even with paid support contracts. Product consolidation, feature changes, and bundle restructuring create uncertainty about long-term viability and cost predictability. These factors combine to make the exit decision less about dissatisfaction and more about survival.

What Higher Education Cannot Compromise

Any VMware alternative must meet the unique needs of higher education without forcing tradeoffs that compromise operations. Learning management systems, student information systems, and research workloads cannot tolerate extended downtime, so small teams need platforms that are easy to manage without specialized expertise or additional staff. The solution must reduce the total cost of ownership rather than shift expenses around, and existing infrastructure should remain usable to avoid capital expenditures. Built-in backup, disaster recovery, and ransomware protection eliminate the need for separate tools and vendors. The platform should support student learning and provide hands-on IT experience that prepares them for careers.

The challenge is finding a solution that checks all these boxes without compromise.

Why Universities are leaving VMware for VergeOS

Universities are leaving VMware for VergeOS

Universities are migrating from VMware to VergeOS because it was designed around the constraints most institutions face: limited budgets and small teams. The platform unifies virtualization, storage, networking, data protection, and AI into a single software codebase. This means one interface for all infrastructure management, not separate consoles for compute, storage arrays, network switches, and backup tools. A two or three-person IT team can manage the entire stack without specialized training in storage protocols or network fabric configuration.

The hardware-agnostic architecture separates VergeOS from alternatives that require certified hardware. VergeOS runs on commodity x86 servers from any vendor. Universities can repurpose HPE Gen9 through Gen11 servers, Dell PowerEdge systems, or white box hardware without concern for compatibility matrices or certified hardware lists. This eliminates the forced refresh cycle that turns a software decision into a six-figure capital expense. Institutions keep using servers with remaining useful life and redirect the budget to academic priorities.

Universities are leaving VMware for better data resiliency

Universities are also leaving VMware due to the high cost and complexity of its availability and data resiliency features. Conversely, high availability, replication, and disaster recovery are built into the core platform of VergeOS, not add-on products with separate licensing. Institutions can replicate between campus data centers or create DR sites using repurposed older hardware. Universities have similar DR requirements to K-12 Education.

VergeOS’ ransomware protection includes immutable snapshots and rapid recovery without needing a separate backup infrastructure. The platform handles these functions natively, reducing complexity and eliminating integration points where problems typically occur.

For student involvement, VergeOS provides an accessible environment where IT and computer science students can gain hands-on experience with enterprise infrastructure. The interface is easily learnable without months of training, and the unified architecture lets students see how compute, storage, and networking interact rather than treating them as isolated domains.

The Pfeiffer University Exit Strategy

Universities are leaving VMware with a solid roadmap

Pfeiffer University in North Carolina provides a blueprint for doing this well. When CIO Ryan Conte faced VMware’s new pricing and a push for expensive hardware refreshes, he took a methodical approach. Conte evaluated public cloud providers like Azure and AWS, reduced-scope VMware deployments, and alternative on-premises platforms. Each option presented fundamental dealbreakers that made it unsuitable for Pfeiffer’s needs. Cloud providers required hiring consultants or extensive training, duplicated costs for infrastructure already owned on campus, and raised data sovereignty concerns. Scaling down VMware meant eliminating redundancy and accepting unacceptable downtime risks for critical academic systems. Traditional competitors like Nutanix demanded new hardware investments.

Pfeiffer ran a three-month proof-of-concept with VergeOS on its existing Dell and HPE servers. Three senior CIS students joined as IT assistants, making the project part of their capstone experience. The team stress-tested the platform, tried to break configurations, and learned what worked. They discovered critical lessons early, such as encrypting data at rest from the start and standardizing on 10GbE networking, and adjusted before the production migration.

Using VergeIO’s built-in migration tools, Pfeiffer moved 30 to 40 virtual machines without hiring consultants. Roughly 10% of VMs needed adjustments, all of which were resolved quickly with VergeIO support. The results speak directly to the financial pressure universities face. Pfeiffer achieved an 85% cost reduction compared to VMware, avoiding $185,575 in annual expenses. The university purchased zero new hardware and repurposed existing servers. Integrated backup and disaster recovery eliminated a separate $20,000 to $30,000 backup project. Three graduates entered IT careers with real infrastructure experience on their resumes.

“VergeIO was the only company I looked at whose product didn’t need new hardware,” Conte explained. “Others told me to buy new, but I had good servers with life left. VergeOS let me use them.”
Read the detailed Pfeiffer University Case Study here.

Universities are leaving VMware to Reuse Servers

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One of the most overlooked benefits of a successful VMware exit is the cost savings from hardware economics. Most universities own capable servers that have years of useful life remaining. HPE Gen9, Gen10, Gen11, and Dell PowerEdge systems deliver strong performance if the software layer is efficient. By choosing a hardware-agnostic platform, universities eliminate capital expenses that would otherwise consume annual budgets, and instead support sustainability initiatives by reducing e-waste. Refresh cycles extend to 6 or 7 years, rather than 3 or 4. Older servers find new purpose in disaster recovery or lab environments.

At Pfeiffer, Conte repurposed older Dell servers into a DR cluster, adding NVMe via PCIe cards and SSDs for just a few hundred dollars. This level of flexibility is impossible with vendor-locked ecosystems.

Universities are leaving VMware for AI Readiness

Universities are leaving VMware because of the complexity of providing AI services to staff and students. Research analytics, adaptive learning platforms, and student-facing AI tools all require flexible, compute-ready infrastructure. Legacy virtualization platforms were not designed for these workloads. Unified infrastructure platforms like VergeOS allow dynamic GPU allocation across mixed workloads. Universities can run AI experiments on campus without cloud lock-in. Student lab environments gain access to machine learning tools. By consolidating infrastructure today, universities build the foundation for tomorrow’s intelligent campus.

A Practical Exit Roadmap

Successful VMware exits at institutions like Pfeiffer shared several characteristics. The process started with a thorough hardware inventory, workload dependency mapping, and cost baseline documentation. These institutions identified which servers had remaining useful life and which were genuinely ready for retirement. Clear goals for cost-reduction targets, uptime requirements, feature-parity needs, and timeline constraints guided the evaluation. The proof-of-concept phase tested alternative platforms on real hardware with actual workloads, not vendor demos. IT staff and students participated in the evaluation process.

Migration planning at successful institutions prioritize workloads by risk and criticality. Non-critical systems move first, providing learning opportunities before tackling production workloads. The best implementations turned technical projects into educational opportunities where students gained valuable experience and institutions built long-term internal knowledge. Documentation mattered at every stage. Runbooks, configuration guides, and lessons learned became institutional knowledge that outlasted any individual staff member.

The Path Forward

Universities are leaving VMware for reasons beyond cost avoidance. It is about reclaiming institutional control over infrastructure decisions, budgets, and operational flexibility. The two forces driving universities away from VMware — rising costs and premature hardware deprecation — are not temporary pressures. They represent a permanent shift in how VMware operates under Broadcom ownership.

Read the Full Case Study

Universities that successfully navigate this transition position themselves for sustainable, flexible IT operations that align with their educational mission. They avoid the trap of escalating subscription costs that consume budget meant for academic programs. They extend hardware lifecycles and redirect savings to student services. They build infrastructure ready for AI workloads and modern research demands.

VergeOS provides the platform to make this transition practical. Supporting existing hardware, unifying core infrastructure functions, and simplifying management give higher education IT teams the tools they need to modernize without breaking their budgets. The window for action narrows as license renewals approach. Institutions that act now avoid another cycle of rising costs and declining flexibility.

Filed Under: VMwareExit Tagged With: Alternative, HCI, UCI, VMware

October 7, 2025 by George Crump

FOR IMMEDIATE RELEASE
October 7, 2025

Pfeiffer University Selects VergeIO to Replace VMware, Cutting IT Costs by 85%

Ann Arbor, MI — October 7, 2025 — VergeIO, the leading VMware alternative, today announced that Pfeiffer University, a private nonprofit liberal arts institution in North Carolina, has modernized its IT infrastructure with VergeOS. The transition reduced Pfeiffer’s infrastructure costs by approximately 85% while providing students with real-world learning opportunities.

Pfeiffer University, with over 135 years of history, is recognized for its personalized education and hands-on learning approach. When VMware licensing changes, rising costs, and poor support responsiveness threatened to overwhelm the small IT department, CIO Ryan Conte and his team began evaluating alternatives.

“VMware wasn’t calling us back,” said CIO Ryan Conte. “VergeOS was the only product I looked at that didn’t need hardware. Others told me to buy new, but I had good servers with life left in them. VergeOS, let me use them.”

VMware Challenges

VMware’s move to per-core subscriptions increased Pfeiffer’s projected costs to $35,000–$45,000 annually, compounded by the elimination of discounts offered to higher education institutions. In addition, MSPs pushed for hardware refreshes or cloud migrations that would have cost Pfeiffer $100,000 to $200,000, a significant capital expense for most private nonprofit institutions.

Why VergeIO

CIO Ryan Conte and his team evaluated public cloud services, scaled-down VMware approaches, and other on-premises platforms, but all fell short of expectations.

VergeIO stood out because it:

  • Supported reuse of HP Gen9/10/11 and Dell servers, allowing the university to repurpose existing equipment.
  • Combined virtualization, storage, networking, and data protection into a single platform.
  • Enabled in-house migration of 30–40 VMs without professional services.
  • Delivered built-in disaster recovery, replication, and ransomware protection, eliminating the need for a separate $20,000–$30,000 backup project.
  • Provided rapid support response times.

Three senior CIS students — Mathius Dessureau, Jason Giesbrecht, and Justin Giesbrecht — played a pivotal role in Pfeiffer’s transition from VMware to VergeOS. They conducted a comparative analysis, participated in the VergeOS proof of concept, and supported its implementation. Their contributions not only advanced the project but also reinforced Pfeiffer’s culture of hands-on learning, providing them with valuable real-world experience that will benefit their careers.

“Pfeiffer University’s project is a great example of how VergeOS empowers smaller IT teams to do more with less. By reusing hardware, integrating students into the process, and consolidating core IT functions, they achieved dramatic cost savings and improved resilience. This is exactly the kind of outcome VergeIO was designed to deliver,” said Jason Yaeger, SVP of Engineering, VergeIO.

Results

By adopting VergeOS, Pfeiffer avoided costly hardware refreshes, improved resiliency, and modernized its IT foundation. The project reduced projected infrastructure costs by 85% compared to VMware, aligning with the university’s mission to combine education with real-world experience.

The Pfeiffer journey away from VMware is documented in the case study here

About Pfeiffer University

Pfeiffer University is a private nonprofit liberal arts institution with campuses in Misenheimer, Charlotte, and Albemarle, North Carolina. With an 11:1 student-to-faculty ratio and a mission rooted in service and leadership, Pfeiffer combines academic rigor with practical experience to prepare students for success.

About VergeIO

VergeIO is the leading VMware alternative. Its product, VergeOS, is an ultraconverged infrastructure (UCI) platform that unifies virtualization, storage, networking, AI, and data protection into a single unified software codebase, running on commodity x86 hardware. Organizations use VergeOS to reduce costs, simplify operations, and ensure resiliency while avoiding vendor lock-in.

Media Contact:
Judy Smith, JPR Communications
[email protected]
818-522-9673

Filed Under: Press Release Tagged With: Alternative, Customer Success, VMware

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