George Crump

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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.

Now is the worst time to renew VMware and buy new serversThat 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

VMware server upgrade costs rising alongside Broadcom licensing fees in 2026The 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.
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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.

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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 migration starting on existing infrastructure without new VMware server purchasesVergeOS 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 availableStart on existing hardware today
Server lead time3–6 months before migration can beginZero — migration starts immediately
VMware subscriptionFull renewal at elevated per-core rateEliminated on day one
Annual escalationBaked into new contract termGone entirely
RAM utilizationDouble-digit platform overhead unchanged2–3% overhead — more workloads, same servers
Storage efficiencyNo change from existing VMware environmentGlobal deduplication — existing drives work harder
Migration timelineStarts after hardware arrivesStarts 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: , , ,

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VMware alternative DR sounds straightforward on paper. You replace the hypervisor, migrate the workloads, and the backup infrastructure follows. In practice, the backup question is the one that stops organizations cold. Modern ransomware encrypts 400 VMs at 2 a.m. on a Tuesday, and the distance between a documented recovery plan and a working recovery becomes painfully clear within the first 60 minutes. For organizations in the middle of a VMware exit, that crisis arrives while everything is still in motion.

Defense in depth — VergeOS and Veeam two-layer protection modelThe organizations now leaving VMware face a compounding version of this problem. They are replacing their hypervisor, re-architecting their storage, and migrating workloads to new infrastructure. During that transition, the backup and recovery layer has to keep working. Not after the migration finishes. Not once the new platform stabilizes. Right now, while everything is in motion.

VergeOS’s support of the oVirt API changes the math on VMware alternative DR by splitting the recovery job into two specialized layers. VergeOS handles the first 60 seconds to 60 minutes of a crisis with instant rollback, immutable snapshots, and tenant isolation. Veeam handles the next 60 days with historical recovery, compliance pulls, off-platform restores, and air-gapped copies. The two-layer model is not redundancy. It is specialization, and it delivers a recovery posture that most VMware environments never had.

Key Takeaways
VergeOS handles platform-level VMware alternative DR in minutes — entire virtual data centers roll back to a known-good snapshot state, not individual VMs one at a time.
Veeam handles the next 60 days: historical recovery points, compliance pulls, granular file and application restores, and air-gapped copies that ransomware cannot reach.
The oVirt API integration means existing Veeam licenses, policies, and repository configurations carry forward to VergeOS — no backup migration project required.
Tenant isolation contains blast radius at the virtual data center boundary. Other workloads on the same cluster keep running during an active incident.
The two-layer model delivers a recovery posture that VMware’s single-layer backup approach never offered — speed and depth from two specialized platforms working together.

The First 60 Seconds: Platform-Level Disaster Recovery with VergeOS

A ransomware attack moves fast. Modern strains encrypt data at rates that can flatten a midsize environment in minutes. The first question in any incident is not “how do we restore?” It is “how do we stop the bleeding?” VergeOS answers that question at the platform level.

VergeOS platform-level recovery in the first 60 seconds — VDC rollback, immutable snapshots, tenant isolationIts architecture treats entire virtual data centers as objects, complete with compute, storage, networking, and security policy. A snapshot of that object captures the full state of every VM, every virtual network, and every firewall rule in a single, atomic operation. Rolling back to that snapshot restores the entire environment to a known-good state in seconds, not hours. Traditional recovery workflows require administrators to identify affected VMs, locate clean backup copies, verify those copies, and restore them one at a time — a process that takes hours in a best-case scenario and days in a realistic one. VergeOS compresses that timeline by operating at a higher level of abstraction.

Immutable snapshots add a second layer of defense. VergeOS snapshots cannot be modified or deleted by any process running inside the virtual environment, including a compromised administrator account. Ransomware that gains root access to a VM still cannot touch the snapshot layer. This architectural separation between the workload and the protection mechanism is what makes platform-level immutability different from application-level backup encryption. Tenant isolation closes the third gap: if ransomware compromises one tenant, the blast radius stops at that tenant boundary. Other workloads continue running on the same cluster without exposure.

Key Terms
Virtual Data Center (VDC)

In VergeOS, a complete software-defined environment that encapsulates compute, storage, networking, and security policy as a single object. A VDC snapshot captures the full state of that object atomically.

Immutable Snapshot

A point-in-time copy that cannot be modified or deleted by any process running within the protected environment, including compromised administrator accounts. VergeOS implements immutability at the architecture layer, not the application layer.

Tenant Isolation

VergeOS runs multiple virtual data centers on shared physical hardware with full network and storage separation between them. Isolation means a security incident in one tenant cannot spread to adjacent tenants on the same cluster.

oVirt API

The standard REST API for KVM-based virtualization management. VergeOS 26.1.2 implements oVirt-compatible endpoints, allowing backup tools that support oVirt — including Veeam — to connect without custom development.

Application-Aware Backup

A Veeam capability that understands the internal structure of applications like Exchange, SQL Server, and Active Directory. Enables granular restores of individual mailboxes, database tables, and AD objects from a single backup job.

The Next 60 Days: Granular Backup Recovery with Veeam

Veeam granular backup recovery over 60 days — historical retention, compliance pulls, air-gapped copiesStopping the immediate crisis is only the beginning. The weeks and months after a disaster bring a different set of demands that require a dedicated backup platform. This is where Veeam carries the load — and where the VMware alternative DR posture built on VergeOS and Veeam goes well beyond what a platform-only approach can deliver.

Historical recovery is the first requirement. Veeam maintains backup chains that stretch back weeks, months, or years depending on the retention policy. After a ransomware event, forensic teams often discover that the initial compromise happened days or weeks before the encryption triggered. Clean recovery requires reaching back to a point before the attacker gained access, not just before the encryption started. Veeam’s granular recovery points make that reach-back possible at the individual VM, application, or file level. Compliance pulls represent the second requirement: Veeam’s application-aware backups understand the internal structure of Exchange, SQL Server, Active Directory, and Oracle workloads, making it routine to pull a single mailbox from a three-week-old backup or restore a specific database table to a point in time.

Off-platform restores address the third requirement. A serious disaster sometimes destroys or compromises the primary infrastructure entirely. Veeam restores to physical hardware, alternative hypervisors, and all major cloud platforms — portability that means the backup is never locked to a single infrastructure vendor. Air-gapped copies close the fourth requirement. Veeam supports immutable backup repositories, Linux hardened repositories, and tape targets that create a physical separation between production data and backup data. Ransomware that compromises both the hypervisor and the backup server still cannot reach a copy stored on an air-gapped tape library or an immutable S3 bucket.

Why Two Layers Beat One: VergeOS and Veeam vs. VMware’s Single-Layer Model

The traditional VMware model placed enormous weight on the backup layer alone. VMware’s native snapshot capabilities carried well-documented performance penalties, and vSphere had no concept of a virtual data center snapshot that captured compute, networking, and storage together. The backup product handled everything from operational recovery to long-term retention to compliance. That single-layer model created a fragile recovery posture. If the backup failed, recovery failed. If the backup server was compromised, retention was compromised. If the backup took four hours to restore a critical application, the business waited four hours regardless of the severity of the outage.

The VergeOS and Veeam model splits the recovery job along a natural boundary. VergeOS owns the fast, platform-level response: snapshots are instant, rollbacks affect entire environments, and immutability is architectural, not bolted on. Veeam owns the deep, long-duration recovery: retention stretches for years, granularity reaches individual files and application objects, and portability extends across platforms and clouds. This split is not a workaround or a transitional architecture. It is a fundamentally better approach to VMware alternative DR. The platform layer handles what platforms handle best, and the backup layer handles what backup handles best — with no overlap or conflict between them.

The oVirt Migration Path: Preserving Veeam During a VMware Exit

oVirt API migration path — preserving Veeam investment during VMware exit to VergeOSVergeOS’s oVirt compatibility preserves existing Veeam investments through the migration. Backup jobs, retention policies, and repository configurations carry forward to the new platform without modification. Organizations do not have to rebuild their backup infrastructure or retrain their operations teams.

Veeam treats VergeOS as a first-class hypervisor target through the oVirt driver, and all existing Veeam licenses and contracts remain valid. This continuity matters during a transition that already involves significant operational change. Replacing a hypervisor is a project. Replacing a hypervisor and a backup platform at the same time doubles the risk and the workload. VergeOS’s Veeam support via oVirt eliminates that double migration by keeping the backup layer stable while the compute layer modernizes.

The migration path is straightforward. Add VergeOS as an oVirt KVM Manager in the Veeam console, point it at the VergeOS API endpoint, and Veeam discovers the workloads through the standard oVirt inventory. Existing protection policies apply to discovered workloads immediately. The entire connection takes under an hour in a production-style environment — as Rick Vanover and Paul Hodges demonstrated in the live demo recorded April 16, 2026.

A Real Scenario: Ransomware at 2 a.m.

Consider a 500-VM environment running VergeOS with Veeam backup. Ransomware triggers at 2 a.m. and begins encrypting workloads across two production tenants. The on-call engineer receives an alert within minutes using VergeOS alerting. They use the VergeOS console to identify the affected tenants and roll back both virtual data centers to snapshots taken 15 minutes before the encryption started. Production workloads are running again on clean snapshots within 10 minutes of the rollback command. The unaffected tenants on the same cluster never went offline.

Over the next 48 hours, the security team determines that the attacker gained initial access 11 days before the encryption event. Veeam’s backup chain provides recovery points going back 30 days. The team restores specific file server data and database instances from the 12-day-old backup to extract clean copies of data the attacker accessed before triggering encryption. Veeam’s application-aware restore pulls individual Active Directory objects and Exchange mailboxes for the forensic investigation. Three weeks later, the compliance team needs to produce email records from the compromised period for their insurance carrier. Veeam pulls those records directly from the granular backup without restoring an entire Exchange server. No single product handles all three phases. VergeOS handled the first phase in minutes. Veeam handled the second and third phases over weeks.

On-Demand Webinar
See the Two-Layer Model in Action

Rick Vanover (Veeam) and Paul Hodges (VergeIO Field CTO) walk through a complete deployment — from blank environment to full Veeam coverage on VergeOS in a single session. Live demo and full Q&A included.

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The session goes beyond slides. It walks through the Veeam console adding VergeOS 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 RPO and RTO conversation with the business.

VMware-Only DR vs. VergeOS + Veeam Two-Layer DR

 VMware + Backup OnlyVergeOS + Veeam
Platform-level recoveryIndividual VM restores onlyEntire VDC rollback in seconds
ImmutabilityBackup product layer onlyArchitectural — built into VergeOS platform
Blast radius containmentNone at hypervisor levelTenant isolation stops spread at VDC boundary
Time to operational recoveryHours to daysMinutes for platform recovery; Veeam handles granular in parallel
Backup tool compatibilityVMware vSphere API onlyVeeam via oVirt driver — existing licenses valid
Long-term retentionBackup productVeeam — weeks, months, years with granular recovery points
Compliance pullsVia backup productVeeam application-aware — file, mailbox, database level
Air-gapped copiesVia backup productVeeam Linux hardened repo, immutable S3, or tape

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

Frequently Asked Questions
Does Veeam work on VergeOS today without any custom development?
Yes. VergeOS 26.1.2 implements the oVirt-compatible API endpoint natively. Veeam connects to VergeOS using its existing oVirt KVM Manager driver — the same driver it uses for other KVM-based environments. No custom code is required on either platform. The connection deploys in under an hour.
Does VergeOS replace Veeam for backup?
No. VergeOS and Veeam handle different recovery requirements. VergeOS provides fast platform-level recovery — entire virtual data centers, snapshots, and tenant isolation. Veeam provides granular recovery, long-term retention, compliance pulls, and off-platform portability. The two layers are complementary, not redundant.
Do existing Veeam licenses apply to VergeOS workloads?
Yes. Existing Veeam licenses, contracts, and repository configurations carry forward to VergeOS without modification. Organizations do not need to purchase new Veeam licenses or rebuild their backup policies when migrating to VergeOS.
What is tenant isolation and how does it limit ransomware blast radius?
VergeOS runs multiple virtual data centers on shared physical hardware with full network and storage isolation between them. If ransomware compromises one tenant, it cannot cross the tenant boundary to adjacent virtual data centers on the same cluster. Other workloads keep running without exposure while the affected tenant is isolated and rolled back.
Is a native Veeam GUI integration available today?
The current oVirt driver integration provides full functional coverage through the Veeam Backup & Replication console. A native VergeOS GUI integration within the Veeam interface is planned for Q3 2026 as the next phase of the platform roadmap. The current integration is fully production-ready — the Q3 release adds console-level visibility, not new functional capability.

Filed Under: Protection

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Organizations leaving VMware face a question that stalls more migrations than any technical challenge: will our backup tools still work? VergeOS answers that question at the architecture level. VergeOS 26.1.2 implements the oVirt API natively — the same interface that enterprise backup platforms like Veeam are already built to support. Exit VMware. Keep your backup tools. No custom integration, no replacement vendors, no renegotiated contracts.

Key Takeaways
Exit VMware without replacing your backup platform. VergeOS 26.1.2 implements the oVirt API natively — any backup tool that supports the oVirt or KVM standard connects immediately, with no custom development on either side.
Veeam connects to VergeOS through its existing oVirt driver in under one hour, with no code changes and no new agents. Existing backup jobs, schedules, and retention policies apply immediately.
The primary barrier to exiting VMware — backup continuity — is removed at the architecture level. Migration timelines are no longer gated by data protection readiness.
VergeOS runs on existing hardware. With DRAM up 171% and NAND flash up 55–60%, organizations avoid a forced server refresh by migrating on the infrastructure they already own.
VergeOS reduces the physical RAM footprint for the same workload count, extending DDR4 server life and reducing exposure to DDR5 pricing during the supercycle.
A live demo with Veeam runs April 15, 2026 at 1:00 PM ET — from blank environment to fully protected workloads in a single session.

The oVirt Standard: Why Backup Tools Already Support VergeOS

The oVirt API is the established interface for KVM-based virtualization environments. Major backup vendors adopted this standard as the path to supporting modern hypervisor platforms, building their products against a single, common interface rather than maintaining separate integrations for each platform. The result is a broad ecosystem of compatible tools that organizations can bring to any oVirt-compatible environment.

VergeOS 26.1.2 implements this interface natively within the platform. No custom development is required on either side. Backup platforms connect to VergeOS through the same driver they already use for KVM environments, authenticate, and operate at full production scale. Both sides work as designed.

Key Terms
oVirt API

The standard management interface for KVM-based virtualization environments. Major backup vendors implemented oVirt drivers to support KVM platforms, creating a shared compatibility layer across the KVM ecosystem.

KVM (Kernel-based Virtual Machine)

A Linux kernel virtualization module that serves as the hypervisor foundation for VergeOS and other open-source virtualization platforms. oVirt was built specifically to manage KVM environments.

oVirt Driver

A software component within enterprise backup platforms such as Veeam that enables communication with oVirt-compatible hypervisors. The driver handles VM discovery, snapshot management, and data transfer without platform-specific customization.

Virtual Data Center (VDC)

A VergeOS construct that encapsulates a complete, isolated environment including compute, storage, and networking. VergeOS can protect and recover an entire VDC as a single unit, independent of workload-level backup tools.

Memory and Storage Supercycle

The current market condition of simultaneous DRAM (171% projected YoY through 2027) and NAND flash (55–60% in Q1 2026) price increases, combined with extended server lead times. Organizations replacing hardware during this period face significantly elevated acquisition costs.

Two-Layer Protection Model

The data protection architecture where VergeOS handles infrastructure-level availability (disk, node, site failures) and enterprise backup platforms handle granular protection (file-level restore, application-aware backup, long-term retention). Both layers operate independently and simultaneously.

The Operational Impact of Exiting VMware with Backup Intact

The most persistent barrier to exiting VMware is not infrastructure complexity. It is the prospect of replacing data protection infrastructure that IT teams have built their recovery strategies around. VergeOS removes that barrier at the architecture level. Organizations connect their existing backup platforms to VergeOS, discover workloads, and apply current protection policies without change. Backup workflows, retention strategies, and recovery procedures carry forward intact.

VergeOS oVirt Integration — Exit VMware Keep Your BackupVeeam is a leading example of this in practice. Veeam’s oVirt driver connects to VergeOS 26.1.2 with no modifications and no custom code. The integration deploys in under an hour and runs at full production scale from day one. For any organization running Veeam as its backup standard, VergeOS is immediately compatible.

Migration projects no longer stall on backup readiness. The question shifts from “How do we handle backup after we exit VMware?” to “When do we want to move?”

Keep Your Existing Servers Through the Memory and Storage Price Supercycle

171%
Projected YoY DRAM price increase through 2027
55–60%
NAND flash contract price increase in Q1 2026 alone
Months
Extended server lead times as memory shortages hit supply chains

DRAM prices are projected to increase 171% year-over-year through 2027. NAND flash contract prices jumped 55–60% in Q1 2026 alone. Server lead times have extended to months in some categories as memory and flash shortages ripple through the supply chain. DDR4 production is winding down while DDR5 pricing reflects AI infrastructure demand that enterprise IT cannot negotiate away. This has been characterized as a Memory and Flash Supercycle that will reshape enterprise infrastructure economics for years.

Organizations that commit to staying on VMware are committing to a hardware refresh cycle at the worst possible time. Broadcom’s licensing changes frequently require hardware that meets updated specifications, pushing organizations toward new server purchases precisely when server costs are at a cycle peak.

VergeOS runs on the hardware you already own. Exiting VMware through VergeOS means organizations migrate workloads without replacing infrastructure. The same servers that run VMware today run VergeOS tomorrow — with the same backup tools, through the same oVirt-compatible interface, on the same physical hardware.

VergeOS also reduces the RAM footprint for the same workload count. The platform’s global inline deduplication extends across memory as well as storage, reducing the physical RAM your infrastructure requires. Organizations running DDR4 hardware that might otherwise require DDR5 upgrades to sustain workload density on VMware can maintain and increase density on VergeOS without new memory purchases — a direct operational response to the supercycle.

The combination matters: exit VMware on your terms, keep the backup tools you have, keep the servers you have, and move when the timing works for your organization — not when a licensing deadline or hardware refresh cycle forces the decision.

A Two-Layer Protection Model

VergeOS and oVirt-compatible backup platforms divide data protection responsibilities cleanly. VergeOS operates at the infrastructure layer, maintaining continuous data availability and supporting recovery at the scale of entire Virtual Data Centers. Failures at the disk, node, or site level are absorbed within the platform. Backup platforms handle the granular layer — file-level restore, application-aware protection, and long-term retention. Each system operates within its intended role.

Availability

Native oVirt API compatibility is available today in VergeOS 26.1.2 and later. Organizations ready to exit VMware connect their existing backup platforms through the standard oVirt interface and begin protecting workloads immediately.

A live demonstration with Veeam is scheduled for April 15, 2026, at 1:00 PM ET. Register for the webinar.

Frequently Asked Questions
Can I exit VMware without replacing Veeam?
Yes. VergeOS 26.1.2 implements the oVirt API natively, and Veeam’s oVirt driver connects to VergeOS using the same standard KVM driver it uses for any oVirt-compatible environment. No special build, custom plugin, or replacement backup platform is required.
What VergeOS version is required for oVirt compatibility?
VergeOS 26.1.2 or later. The oVirt API endpoint is active by default in this release. No additional configuration is needed to enable it.
How long does it take to connect Veeam to VergeOS after exiting VMware?
The integration deploys in under one hour. Add the VergeOS oVirt endpoint as a managed server in Veeam using the standard KVM driver, allow VM discovery to complete, and apply existing backup policies. No pre-work is required on the VergeOS side beyond running version 26.1.2.
Will existing backup jobs and policies carry forward after the migration?
Yes. Backup jobs, schedules, retention rules, and SLA policies defined in Veeam apply to VergeOS VMs discovered through the oVirt API without reconfiguration. The policy layer lives in Veeam, not in the hypervisor, so exiting VMware does not reset your data protection posture.
Can we run VergeOS on our existing hardware without a memory upgrade?
In most cases, yes. VergeOS uses global inline deduplication across both storage and RAM, which reduces the physical memory footprint for the same workload count compared to VMware. Organizations running DDR4-based servers that would otherwise require DDR5 upgrades to sustain density on VMware can frequently maintain or improve density on VergeOS without new memory purchases — a meaningful advantage during the current supercycle.
Does oVirt compatibility work with backup platforms other than Veeam?
Yes. Any enterprise backup platform with an oVirt or KVM driver can connect to VergeOS through the oVirt API. Veeam is the most widely deployed example and the focus of the April 15 live demo, but the compatibility extends to any platform built against the oVirt standard.
Does VergeOS replace the need for an enterprise backup platform?
No — and it is not designed to. VergeOS handles infrastructure-level data protection: disk and node failure absorption, site-level replication, and Virtual Data Center recovery. Enterprise backup platforms handle granular protection: file-level restore, application-aware backup, and long-term retention. The two layers are complementary and operate simultaneously.

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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.

Three VMware exit priorities that oVirt enablesVergeOS 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 standard enables VMware exit through a common APIThe 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

Native resilience features in VergeOS that oVirt enables alongside backupIt 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

Two-layered protection model where oVirt enables VMware exit with backup compatibilityThe 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 AlternativeVergeOS
Hardware RequirementNew server refreshRe-use existing servers (+171% DRAM avoidance)
Backup IntegrationCustom plugins / waitlistsNative oVirt standard
Platform ResilienceStandard N+1/N+2ioGuardian N+X survivability
Disaster RecoveryMulti-step orchestrationSingle-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.

Register Now →

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.

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NVIDIA built the AI toolkit. VergeOS makes the infrastructure disappear.

Every AI project hits the same inflection point. Someone identifies a use case worth building. The engineering team wants to connect an LLM to internal documentation, simulation results, product specifications, or design archives so domain experts can query their own data in natural language. The concept is retrieval-augmented generation, and the ideal place to build it is a GPU virtual workstation. The use case is sound. Then someone asks the question that stalls the project: where is the infrastructure to run it?

A growing number of organizations are standardizing on GPU virtual workstations. Not cloud endpoints with metered GPU hours. Not shared notebook environments where teams compete for resources every morning. The model is a self-contained virtual machine with dedicated GPU resources, running on infrastructure the IT team already manages. NVIDIA’s AI Virtual Workstation toolkit initiative makes this practical. VergeOS makes the infrastructure underneath it invisible.

Key Takeaways
NVIDIA’s RAG Application Toolkit provides a repeatable, guided path from blank VM to working retrieval-augmented generation application inside a GPU virtual workstation.
RAG applications running in VMs inherit full infrastructure discipline: snapshots, replication, cloning, and disaster recovery that physical workstation deployments lack.
VergeOS compresses GPU provisioning, driver deployment, vGPU profile assignment, and MIG partitioning into a point-and-click workflow that requires no GPU specialist.
NVIDIA introduced VergeOS as a supported vGPU platform, establishing joint support paths so both vendors stand behind the deployment.
The RTX Pro 6000 Blackwell Server Edition supports up to four MIG-isolated RAG environments from a single GPU, and the RTX 4500 fits 16 cards in a 4U chassis for density-first deployments.
Organizations that build the GPU infrastructure layer once deploy every subsequent NVIDIA AI toolkit as an application project rather than an infrastructure project.

The Toolkit Changes What “Getting Started” Means

NVIDIA launched the AI vWS toolkit program approximately a year ago. The observation behind it was straightforward. Current-generation data center and workstation GPUs, including Blackwell-architecture cards, now have the memory capacity and bandwidth to run GPU-accelerated inference and development inside virtual machines. Quantization advances at the framework and hardware level expand what fits inside a single vGPU allocation. The missing piece was never hardware. It was a guided path from blank VM to working application.

NVIDIA RAG Application Toolkit for GPU Virtual WorkstationThe RAG Application Toolkit is the most popular entry point. It walks an engineering or data science team through the complete GPU virtual workstation deployment: VM provisioning, NVIDIA AI Workbench configuration, vector database deployment, LLM loading, and a functional chat interface that queries organizational data. The minimum VM footprint is modest at 8 vCPUs, 32 GB of system memory, 120 GB of storage, and a vGPU allocation.

No single component here is new. Vector databases, embedding models, and LLM inference are all well-understood technologies. The significance is that NVIDIA has assembled them into a repeatable recipe that runs inside a virtual workstation. That is the same kind of environment IT teams already know how to provision, snapshot, replicate, and recover. That last point matters more than most AI conversations acknowledge.

Key Terms
Retrieval-Augmented Generation (RAG)

An architecture that connects a large language model to external data sources through a vector database, allowing the LLM to answer questions using organizational data it was not trained on.

NVIDIA AI Virtual Workstation (AI vWS) Toolkit

A collection of guided deployment workflows from NVIDIA that walk teams through standing up AI applications inside GPU-accelerated virtual machines, including RAG, agentic RAG, fine-tuning, and video search.

NVIDIA vGPU

A software layer that allows multiple virtual machines to share a single physical GPU, with each VM receiving dedicated memory and a full NVIDIA driver stack. Requires a separate software license from an NVIDIA-authorized partner.

MIG (Multi-Instance GPU)

Hardware-level GPU partitioning that divides a single GPU into isolated instances with dedicated compute engines, memory, and bandwidth. Isolation is enforced in silicon, not software.

NVIDIA AI Sizing Advisor

A free, wizard-driven tool from NVIDIA that recommends GPU configurations for specific AI workloads and includes a smoke test to validate the recommendation before deployment.

FP4 (4-bit Floating Point)

A low-precision numerical format supported by fifth-generation Tensor Cores in Blackwell GPUs. Increases inference throughput by processing more operations per cycle at reduced precision.

AI Development Needs Infrastructure Discipline

The gap between a working AI prototype and a production-ready deployment is almost entirely an infrastructure problem. Data scientists build remarkable things in notebooks and local environments. Then someone needs to make it recoverable, reproducible, and manageable at the organizational level.

A RAG application running on a developer’s physical workstation has no backup strategy. It has no replication path. If the hardware fails, the environment gets rebuilt manually. If a second team needs the same configuration, someone walks through the entire installation process again.

A RAG application running inside a GPU virtual workstation inherits every infrastructure capability the platform provides. Snapshots capture the entire environment — the vector database, the model weights, the application configuration — in a single operation. Replication copies the working environment to a disaster recovery site. Cloning the VM gives a new team member the same configuration in minutes instead of days.

This is not a theoretical distinction. It is the difference between an AI initiative that lives on one person’s machine and one that operates as organizational infrastructure.

The GPU Virtual Workstation Platform Matters

NVIDIA’s toolkit assumes a functioning GPU virtual workstation exists. It does not prescribe how that workstation gets provisioned, how GPU resources get allocated, or how the driver stack gets managed. Those are platform responsibilities.

On many hypervisors, standing up a GPU virtual workstation still involves a long sequence of manual steps. Configure IOMMU at the host level. Install the NVIDIA vGPU Manager. Match driver versions across the hypervisor, the vGPU software stack, and the guest OS. Assign a vGPU profile through configuration files or CLI commands.

Some platforms have improved parts of this experience, but most still treat GPU management as a separate discipline from core infrastructure operations. MIG partitioning — splitting a high-end GPU into hardware-isolated instances so multiple team members can work at the same time — still requires nvidia-smi CLI expertise on most platforms.

VergeOS GPU Virtual Workstation Provisioning MethodVergeOS compresses that entire sequence into a workflow an IT generalist completes without specialized GPU knowledge. The platform detects GPU hardware automatically. IT teams obtain drivers directly from NVIDIA, available to customers with valid NVIDIA vGPU software licenses, and upload them once. VergeOS bundles and distributes them to VMs automatically at assignment. vGPU profiles are selected from a dropdown. MIG partitioning is point-and-click. The GPU virtual workstation that the RAG toolkit assumes is ready in minutes, not days.

The operational contrast sharpens at scale. One RAG workstation is a project. Ten RAG workstations across three engineering teams, each with isolated GPU resources, snapshot schedules, and DR replication, is an infrastructure operation. VergeOS treats it as one. GPU workloads are managed through the same interface as compute, storage, and networking. No separate management plane. No GPU specialist on call. NVIDIA introduced VergeOS as a supported vGPU platform, and both vendors stand behind the deployment when issues arise.

Right-Sizing the GPU Virtual Workstation

The RAG toolkit’s minimum GPU virtual workstation requirement of 32 GB system memory and a capable vGPU allocation aligns well with the hardware VergeOS has validated. Teams deploying multiple RAG environments from a single card have a strong option in the RTX Pro 6000 Blackwell Server Edition. MIG partitioning on that card provides up to four hardware-isolated instances, each with dedicated memory and compute, from a single GPU. Four data science teams get four isolated RAG environments from one card.

Organizations that prioritize density have another option in the RTX 4500 Blackwell Server Edition. That card fits up to 16 units in a 4U server chassis at 165 watts per card. Each card carries 32 GB of GDDR7 memory and fifth-generation Tensor Cores with FP4 inference support. That combination handles RAG workloads with headroom for larger models and document collections as the use case matures.

NVIDIA’s AI Sizing Advisor helps teams determine the right GPU virtual workstation configuration before a single VM is provisioned. It is a free, wizard-driven tool — not a chatbot — that recommends configurations based on specific workload parameters and includes a smoke test to validate the recommendation.

The Pattern, Not Just the Project

The RAG toolkit is the most visible entry point, but it represents a broader pattern. NVIDIA’s toolkit portfolio also includes Agentic RAG for multi-step retrieval workflows, a fine-tuning toolkit for model customization, and a video search and summarization toolkit arriving this year. Each follows the same model: a guided deployment path that assumes a GPU virtual workstation exists.

Organizations that build the infrastructure layer once — GPU provisioning, driver management, MIG configuration, snapshot and recovery workflows — deploy every subsequent toolkit as an application project rather than an infrastructure project. The same infrastructure that already runs engineering VDI, simulation workloads, and scientific visualization extends to AI development without a second management stack. The platform investment compounds.

VergeOS is designed for exactly this pattern. The same infrastructure that runs your first RAG workstation runs your tenth, your fine-tuning environment, and your inference endpoints. One interface. The same operational workflows. No need to expand the team that manages it.

The AI toolkit is ready. The question is whether your infrastructure is ready to run it as an organizational capability rather than a one-off experiment. Watch the GPU Virtualization Without the Complexity on-demand webinar for a live demonstration of all three GPU modes in the VergeOS interface. Download the GPU Virtualization Without the Complexity white paper for a full technical breakdown of GPU modes, driver management, and deployment scenarios.

Take a Test Drive Today — No hardware required.

Explore the full platform details on the Abstracted GPU Infrastructure page.

Frequently Asked Questions
What is the NVIDIA RAG Application Toolkit and what does it include?
The RAG Application Toolkit is a guided deployment workflow from NVIDIA that walks teams through building a retrieval-augmented generation application inside a GPU virtual workstation. It covers VM provisioning, NVIDIA AI Workbench installation, vector database configuration, LLM deployment (Llama 3 8B is the recommended starting model), and a chat interface for querying organizational data. The minimum VM requirement is 8 vCPUs, 32 GB system memory, 120 GB storage, and a vGPU allocation.
Do we need GPU specialists on staff to deploy RAG workloads on VergeOS?
No. VergeOS manages driver deployment, MIG configuration, vGPU profile assignment, and GPU monitoring through the same interface IT teams already use for compute, storage, and networking. The platform abstracts GPU complexity so an IT generalist who has never managed a GPU can deploy and operate vGPU workloads from day one.
How does running RAG in a virtual workstation compare to running it on a physical developer machine?
A RAG application in a VM inherits full infrastructure capabilities: snapshots capture the entire environment in one operation, replication copies it to a DR site, and cloning gives a new team member the identical configuration in minutes. A physical workstation has none of these. If the hardware fails, the environment is rebuilt manually. If a second team needs the same configuration, someone repeats the entire installation process.
Which NVIDIA GPUs are validated for RAG workloads on VergeOS?
VergeOS 26.1.3 has validated vGPU operation on the A100, A30, A40, and L40 series data center GPUs. MIG vGPU functionality has been validated on the RTX Pro 6000 Blackwell Server Edition, which supports up to four hardware-isolated instances from a single card. The RTX 4500 Blackwell Server Edition provides a density option at up to 16 cards per 4U chassis. NVIDIA vGPU software licenses are required and are available through NVIDIA-authorized partners.
Can multiple teams share a single GPU for separate RAG environments?
Yes. MIG partitioning on the RTX Pro 6000 Blackwell Server Edition divides a single GPU into up to four hardware-isolated instances, each with dedicated compute engines, memory, and bandwidth. Each instance operates as an independent GPU from the application’s perspective. Four teams get four isolated RAG environments from one card with no contention between them.
What other AI toolkits run on this same infrastructure?
NVIDIA’s AI vWS toolkit portfolio includes Agentic RAG for multi-step retrieval workflows, a fine-tuning toolkit for model customization, a PDF-to-podcast converter, and a video search and summarization toolkit. Each follows the same deployment model: a guided path that assumes a GPU virtual workstation exists. Organizations that build the infrastructure layer once deploy every subsequent toolkit as an application project.
What does NVIDIA’s supported platform designation mean for support escalation?
NVIDIA introduced VergeOS as a supported vGPU platform. That designation means the configuration has been tested against NVIDIA’s technical requirements. When GPU issues arise in production, both NVIDIA and VergeIO engineering teams collaborate on resolution. No finger-pointing between vendors. No gaps in support coverage.

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NVIDIA vGPU — VergeOS 26.1.3

GPU acceleration without the operational overhead

Every enterprise wants AI capabilities. Most organizations have proprietary data they do not, or legally cannot, send to cloud providers. Visual compute and AI development infrastructure keeps sensitive data on-premises while delivering the GPU acceleration that machine learning workloads demand. The challenge has never been the hardware — NVIDIA GPUs are widely available, and most organizations already own servers capable of running them. The challenge is operations.

VergeOS supports the full range of NVIDIA vGPU software products: NVIDIA RTX Virtual Workstation (vWS) for professional visualization and GPU-accelerated design applications, NVIDIA Virtual PC (vPC) for knowledge workers who need graphics-capable virtual desktops, and NVIDIA Virtual Applications (vApps) for hosted application delivery without dedicated workstation hardware. Each of these runs on VergeOS today, validated and jointly supported by both NVIDIA and VergeIO engineering teams.

Key Takeaways
  • Visual compute and AI development infrastructure keeps sensitive data on-premises while delivering GPU-accelerated performance without cloud dependency.
  • VergeOS eliminates the specialized expertise barrier by managing GPU resources through the same interface used for compute, storage, and networking.
  • NVIDIA introduced VergeOS as a supported vGPU platform, establishing joint support paths so both vendors stand behind your deployment.
  • MIG configuration in VergeOS is a point-and-click operation — no nvidia-smi, no command-line tools, no GPU specialists required.
  • Five deployment scenarios — VDI, inference, multi-tenant dev, edge AI, and analytics — are all accessible to standard IT teams today.

Visual compute and AI development deployments keep sensitive data on-premises while delivering the GPU acceleration that machine learning workloads demand. GPU infrastructure traditionally requires specialized expertise that most IT teams lack. Who manages the GPUs? What happens when driver updates break compatibility? How do you allocate GPU resources across competing workloads without constant manual intervention? These questions stop projects before they start.

Key Terms
Visual Compute and AI Development Infrastructure
GPU-accelerated computing deployed on-premises for engineering, design, simulation, and AI development workloads, keeping proprietary data inside the organization’s security boundary rather than sending it to public cloud providers.
NVIDIA vGPU
A software layer that enables multiple virtual machines to share a single physical GPU, with each VM receiving dedicated memory and its own full NVIDIA driver stack. Requires a software license from an NVIDIA-authorized partner.
MIG (Multi-Instance GPU)
Hardware-level GPU partitioning available on NVIDIA Ampere and Blackwell architecture GPUs. Divides a single GPU into isolated instances with dedicated compute engines, memory, and bandwidth — enforced in silicon, not software.
VergeOS
The private cloud operating system from VergeIO that unifies compute, storage, networking, and GPU management in a single platform. IT teams manage all infrastructure — including GPUs — through one interface.
NVIDIA Supported vGPU Platform
NVIDIA introduced VergeOS as a supported vGPU platform, meaning VergeOS meets NVIDIA’s technical requirements for enterprise GPU virtualization. Supported platforms receive joint support from both the platform vendor and NVIDIA engineering.
GPU Passthrough
A configuration that assigns an entire physical GPU exclusively to a single virtual machine. Delivers maximum performance but no sharing — one VM per GPU.

Driver management, resource allocation, Multi-Instance GPU configuration, and troubleshooting demand knowledge that sits outside the typical sysadmin skill set. Organizations either hire dedicated GPU specialists, engage expensive consultants, or avoid GPU workloads altogether. VergeOS changes that equation. The partnership with NVIDIA brings vGPU capabilities into the same unified management interface that IT teams already use for compute, storage, and networking. No separate tools. No specialized training. No operational friction.

Multi-Instance GPU: One GPU, Multiple Workloads

GPU management complexity without VergeOS

Not every workload needs a full GPU. A data scientist running inference tests does not require the same resources as a team training a large model. Traditional GPU allocation forces a choice: dedicate an entire GPU to a single workload or deal with the complexity of manual resource sharing.

NVIDIA Multi-Instance GPU (MIG) solves this problem by partitioning a single physical GPU into multiple isolated instances. Each instance gets dedicated memory and compute resources. Workloads running on separate MIG instances cannot interfere with each other, and each instance behaves like an independent GPU from the application’s perspective.

The catch: MIG configuration traditionally requires command-line expertise and careful planning. IT teams need to understand partition sizes, memory allocation, and how to reconfigure instances as workload requirements change. VergeOS automates MIG configuration through the same interface used for all other infrastructure management. Select the partition profile that matches your workload requirements, and VergeOS handles the rest. When requirements change, reconfigure without touching a command-line tool or GPU management utility.

What It Means That NVIDIA Introduced VergeOS as a Supported vGPU Platform

VergeOS unified GPU management interface

NVIDIA introducing VergeOS as a supported vGPU platform matters for one reason: support escalation paths. When something goes wrong with GPU workloads, enterprises need to know both vendors will stand behind the deployment. Joint support means IT teams can deploy vGPU workloads with confidence. If driver issues arise, both VergeOS and NVIDIA engineering teams collaborate on resolution. No finger-pointing. No gaps in coverage.

This designation also signals that NVIDIA’s technical teams have validated VergeOS as an enterprise-ready platform for GPU virtualization. NVIDIA does not introduce platforms lightly. Their enterprise customers expect validated, tested configurations, and NVIDIA’s reputation depends on partner platforms delivering consistent results. For full details on what this means for your deployment, see the official announcement.

Practical Applications for Visual Compute and AI Development

Visual compute and AI development use cases extend well beyond training large language models. Engineering simulation, scientific visualization, and inference workloads all benefit from GPU acceleration without requiring massive GPU clusters. These are five scenarios standard IT teams can deploy today without GPU specialists:

VDI with GPU acceleration gives knowledge workers access to applications that previously required dedicated workstations. NVIDIA RTX Virtual Workstation (vWS) delivers workstation-class GPU performance to engineers, designers, and scientists running visualization and simulation applications from centralized infrastructure. NVIDIA Virtual PC (vPC) extends graphics-capable virtual desktops to a broader user population connecting from standard endpoints.

Hosted application delivery brings GPU-accelerated applications to users without dedicated workstation hardware. NVIDIA Virtual Applications (vApps) delivers individual GPU-accelerated applications to any endpoint, giving organizations flexibility to extend specific tools — rendering software, simulation packages, AI development IDEs — without provisioning full virtual desktops.

AI inference at the edge processes data locally without sending it to external services. Manufacturing quality control, retail analytics, and healthcare imaging all benefit from on-premises GPU acceleration.

Multi-tenant AI development splits a single high-end GPU across multiple data science teams. Each team gets an isolated MIG instance with guaranteed resources. No contention, no noisy neighbor problems, and no need to purchase separate GPUs for each group.

Database acceleration uses GPUs for analytics workloads, dramatically reducing query times on large datasets. Business intelligence teams get faster insights without specialized database infrastructure.

NVIDIA and VergeOS GPU use cases

Getting Started

Organizations with existing VergeOS deployments can add GPU capabilities to their current infrastructure. Install supported NVIDIA GPUs in your servers, and VergeOS handles the rest — driver management, MIG configuration, resource allocation, and monitoring all from the same interface your team already operates. No separate management plane. No new interfaces to learn.

For organizations evaluating private cloud platforms, the NVIDIA partnership demonstrates the direction VergeOS is headed: an infrastructure layer that makes advanced capabilities accessible to standard IT operations. GPU management today, and whatever comes next tomorrow. The goal is consistent — eliminate the operational complexity that prevents organizations from using the infrastructure they already own. Visual compute and AI development infrastructure should not require specialized GPU staff.

Take a Test Drive Today — No hardware required.

See it live: join the GPU Virtualization Without the Complexity webinar on April 2nd at 1:00 PM ET for a live demonstration of MIG configuration, vGPU profiles, and one-time driver upload in a unified private cloud environment.

Explore the full platform details on the Abstracted GPU Infrastructure page, or read the official announcement.

?Frequently Asked Questions
What makes on-premises GPU infrastructure different from public cloud AI?
On-premises GPU infrastructure keeps all data, model weights, and inference outputs inside the organization’s security boundary. Public cloud AI routes sensitive data through third-party infrastructure, creating compliance risk for regulated industries and organizations with proprietary data. On-premises GPU-accelerated infrastructure delivers the same performance as cloud without the data sovereignty concerns.
Do we need to hire GPU specialists to run VergeOS with NVIDIA vGPU?
No. VergeOS manages driver deployment, MIG configuration, resource allocation, and GPU monitoring through the same interface IT teams already use for compute, storage, and networking. The platform abstracts GPU complexity so sysadmins who have never managed a GPU can deploy and operate vGPU workloads from day one.
What is MIG and why does it matter for multi-tenant AI deployments?
Multi-Instance GPU partitions a single physical GPU into isolated instances at the hardware level. Each instance gets dedicated compute engines, memory, and bandwidth. Because the isolation is enforced in silicon, workloads in one MIG instance cannot affect neighboring instances — no noisy neighbor effects, no contention. For multi-tenant environments, MIG provides the same guarantees as separate physical GPUs at a fraction of the cost.
What NVIDIA GPU hardware is supported with VergeOS today?
Currently validated data center GPUs include the A100, A30, A40, and L40 series in VergeOS 26.1.3. MIG vGPU functionality has been validated on the NVIDIA Blackwell RTX Pro 6000 Server Edition. NVIDIA vGPU software licenses are required for vGPU operation and are available through NVIDIA-authorized partners.
Where can I see VergeOS GPU management in action?
Register for the live webinar on April 2nd at 1:00 PM ET at GPU Virtualization Without the Complexity. The session covers pass-through, vGPU, and MIG configuration in a unified environment with a live demo. An on-demand replay will be available after the event.
What does it mean that NVIDIA introduced VergeOS as a supported vGPU platform?
NVIDIA introduced VergeOS as a supported vGPU platform, meaning VergeOS 26.1.3 appears on NVIDIA’s validated platform list as a supported configuration for enterprise GPU virtualization. When GPU issues arise, both VergeOS and NVIDIA engineering teams collaborate on resolution. IT teams get a clear support escalation path with no gaps between vendors. GPU support is additive — install supported NVIDIA GPUs into existing cluster nodes and VergeOS automatically detects and inventories the hardware.

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