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      • VMware Alternative DR: How VergeOS and Veeam Split the JobRansomware encrypts 400 VMs at 2 a.m. VMware alternatives that don't solve the backup question leave you exposed. VergeOS and Veeam split that job — platform recovery in seconds, granular retention for weeks.
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George Crump

April 16, 2026 by George Crump

How the two-layer model turns a ransomware crisis into a contained incident — and why VMware never offered this recovery posture.

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 model

The 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 isolation

Its 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

Stopping 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.

Veeam granular backup recovery over 60 days — historical retention, compliance pulls, air-gapped copies

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

VergeOS’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.

oVirt API migration path — preserving Veeam investment during VMware exit to VergeOS

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.

On-Demand Webinar
See the Two-Layer Model in Action
Rick Vanover (Veeam) and Paul Hodges (VergeIO Field CTO) walk through a oVirt deployment — to show full Veeam coverage of VergeOS in a single session. Live demo + full Q&A included.
Watch On-Demand →

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.

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

  VMware + Backup Only VergeOS + Veeam
Platform-level recovery Individual VM restores only Entire VDC rollback in seconds
Immutability Backup product layer only Architectural — built into VergeOS platform
Blast radius containment None at hypervisor level Tenant isolation stops spread at VDC boundary
Time to operational recovery Hours to days Minutes for platform recovery; Veeam handles granular in parallel
Backup tool compatibility VMware vSphere API only Veeam via oVirt driver — existing licenses valid
Long-term retention Backup product Veeam — weeks, months, years with granular recovery points
Compliance pulls Via backup product Veeam application-aware — file, mailbox, database level
Air-gapped copies Via backup product Veeam 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

April 14, 2026 by George Crump

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.

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.

Filed Under: Press Release Tagged With: oVirt Backup with Veeam and VergeOS, TechAlert

April 13, 2026 by George Crump

The oVirt API bridges VMware alternatives and existing backup platforms, removing the last barrier to migration.

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 enables

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

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

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

Key Takeaways
  • The oVirt API enables a complete VMware exit by giving backup platforms and VMware alternatives a common interface that requires no custom development.
  • VergeOS 26.1.2 implements the oVirt standard natively, making it immediately compatible with any backup platform that has an oVirt driver.
  • The delay in oVirt support allowed VergeIO to build industry-leading data availability, protection, and disaster recovery directly into the platform.
  • oVirt-compatible backup platforms like Veeam connect to VergeOS in under an hour with no changes to existing policies, schedules, or SLA tiers.
  • Infrastructure owns availability and large-scale recovery. Backup owns granular recovery and long-term retention. The oVirt integration lets each system do what it was built to do.

Why oVirt Enables a VMware Exit

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

The oVirt standard enables VMware exit through a common API

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

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

Key Terms
oVirt API
The established interface standard for KVM-based virtualization environments. Major backup vendors build against this standard to support open-source hypervisor platforms through a single, common integration point.
Virtual Data Center (VDC)
A VergeOS construct that groups compute, storage, and networking resources into a defined boundary. VDCs are the unit of management, isolation, and recovery, allowing entire application environments to be restored as a coordinated system.
ioGuardian
A VergeOS technology that extends drive failure protection beyond configured redundancy levels. It turns N+2 protection into N+X by continuing to serve data actively during multiple simultaneous drive failures.
Data Center Encapsulation
A VergeOS capability that captures data, VM configurations, and network configurations together in point-in-time consistent snapshots. These snapshots are immediately replicated off-site, simplifying disaster recovery into a single coordinated restore.
Two-Layer Protection Model
An architecture where infrastructure owns availability and large-scale recovery, and backup platforms own granular recovery and long-term retention. Each layer operates at its maximum effectiveness when the boundary between them is clear.

Why the oVirt Delay Strengthened the VMware Exit

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

Native resilience features in VergeOS that oVirt enables alongside backup

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

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

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

What oVirt Brings to VergeOS

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

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

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

How VergeOS Uses oVirt in Practice

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

Two-layered protection model where oVirt enables VMware exit with backup compatibility

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

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

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

Standard Exit vs. VergeOS Exit

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

A live demonstration of the VergeOS oVirt integration is scheduled for April 15, 2026, at 1:00 PM ET. Rick Vanover, VP of Product Strategy at Veeam, and Paul Hodges, VergeIO Field CTO, will deploy and demonstrate the full integration live. Register for the webinar.

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

Frequently Asked Questions
What is the oVirt API and why does it matter for VMware migration?
The oVirt API is the established interface for KVM-based virtualization environments. Major backup vendors built their products against this standard to support open-source hypervisor platforms through a single integration point. Any VMware alternative that implements oVirt natively gains immediate compatibility with these backup tools, removing the need for custom development on either side.
Does the oVirt integration require changes to existing Veeam policies or configurations?
No. Veeam’s oVirt driver connects to VergeOS without modification. Existing backup policies, schedules, SLA tiers, and recovery workflows carry forward unchanged. The integration deploys in under an hour at production scale.
What backup features are available through the oVirt integration?
The full feature set of the backup platform is available from day one. For Veeam, that includes file-level restore, application-aware recovery, instant VM recovery, and long-term retention. All features function at production scale through the standard oVirt driver.
Does VergeOS still need third-party backup if it has built-in data protection?
VergeOS delivers infrastructure-scale data availability, disaster recovery, and unlimited snapshots as core platform functions. Enterprise backup platforms like Veeam add a complementary layer of granular recovery, searchable backup catalogs, and long-term retention. The two-layer model lets each system operate within its intended role.
Are backup platforms other than Veeam compatible with VergeOS through oVirt?
Any backup platform with an oVirt driver is architecturally compatible with VergeOS. Veeam has been validated and will be demonstrated live. Other platforms will be certified as customer demand prioritizes them.
Can VergeOS run on existing servers or does migration require new hardware?
VergeOS runs on the servers already in production. It does not require a hardware refresh. With DRAM prices up 171% year-over-year and NAND flash contracts up 55 to 60 percent in Q1 2026, hardware reuse is a significant economic advantage over VMware alternatives that require new infrastructure.
What is the two-layer protection model?
The two-layer model separates data protection responsibilities between infrastructure and backup. VergeOS handles availability and large-scale recovery at the infrastructure layer, absorbing drive, node, and site-level failures within the platform. Backup platforms like Veeam handle granular recovery, application-aware protection, and long-term retention. Each system does what it was built to do.

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

April 9, 2026 by George Crump

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

A GPU Virtual Workstation

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.

The 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.

NVIDIA RAG Application Toolkit for GPU Virtual Workstation

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.

VergeOS Encapsulated GPU Virtual Workstation

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.

Legacy Hypervisor Challenges with GPU Virtual Workstation Deployment

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 Method

VergeOS 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

Dedicated GPU Workstation to vGPU

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.

Filed Under: AI Tagged With: AI, Enterprise AI, GPU, NVIDIA - VergeOS AI Workstation Campaign, vGPU

March 30, 2026 by George Crump

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.

Filed Under: AI Tagged With: GPU, IT infrastructure, NVIDIA - VergeOS AI Workstation Campaign, Private AI, vGPU

March 27, 2026 by George Crump

Press Release — For Immediate Release

VergeIO Delivers RTX Virtual Workstations to Enterprises

Private cloud operating system delivers automated GPU management, MIG configuration, and driver deployment without specialized expertise

ANN ARBOR, Mich. — March 31, 2026

Server with NVIDIA GPU — VergeIO RTX Virtual Workstation

VergeIO, the private cloud operating system company, today announced support for NVIDIA RTX vWS and vPC supported on the latest release of vGPU 20 providing a platform for visual compute that enables customers to deploy graphics-intensive professional applications from cloud-based virtual desktops. NVIDIA has certified VergeOS as a supported platform for RTX vWS enabled through GPU virtualization. The initiative brings automated GPU management, intelligent provisioning of right-sized virtual GPUs, and near bare metal performance to private cloud environments while giving customers confidence in a validated, NVIDIA-backed deployment path.

Key Takeaways
  • VergeOS now supports NVIDIA RTX vWS and vPC on vGPU 20, bringing certified virtual workstation capabilities to private cloud environments.
  • NVIDIA has formally certified VergeOS, establishing joint vendor support paths so both companies stand behind the deployment.
  • IT teams manage GPU resources through the same unified VergeOS interface used for compute, storage, and networking — no specialist required.
  • Driver provisioning, MIG configuration, resource allocation, and active monitoring are all automated at the platform level.
  • Organizations can deploy professional graphics and engineering workloads on private cloud infrastructure with near bare metal performance.

VergeOS abstracts GPU management tasks, including driver provisioning, resource allocation, active monitoring, and NVIDIA Multi-Instance GPU (MIG) configuration. IT teams deploy high performance, accelerated, professional graphics through the same unified interface they use for compute, storage, and networking. The approach eliminates the specialized expertise traditionally required to operate GPU infrastructure at scale.

Key Terms
RTX vWS (RTX Virtual Workstation)
NVIDIA’s flagship vGPU license delivering both graphics and compute acceleration inside VMs, enabling engineers and designers to run GPU-accelerated applications from centralized cloud infrastructure.
vGPU 20
NVIDIA’s March 2026 major vGPU software release, introducing Blackwell-generation GPU support, MIG + time slicing on KVM, and expanded virtual workstation capabilities.
MIG (Multi-Instance GPU)
Hardware-level GPU partitioning that divides a single physical GPU into isolated instances, each with dedicated compute engines, memory, and bandwidth — isolation enforced in silicon, not software.
vPC (Virtual PC)
NVIDIA vGPU license tier for knowledge workers running standard business applications that benefit from GPU-accelerated graphics in virtual desktop environments.
VergeOS
The private cloud operating system from VergeIO that consolidates compute, storage, networking, and GPU management into a single platform. GPU resources are managed through the same interface as all other infrastructure.
NVIDIA Certification
A formal validation confirming a platform meets NVIDIA’s technical requirements for enterprise GPU virtualization. Certification establishes joint support paths — both NVIDIA and the platform vendor stand behind the deployment.

The integration addresses a growing enterprise challenge. Organizations adopting professional graphics and engineering workloads need an enterprise-grade, secure, performant, and manageable GPU-accelerated platform. NVIDIA’s certification ensures customers can deploy with full vendor support from both companies.

“Enterprise IT teams want GPU infrastructure for accelerated, virtual workstations that works like the rest of their environment — manageable, automated, and easily accessible without calling in specialists. Our RTX vWS with vGPU 20 integration delivers exactly that. IT administrators deploy and manage virtual workstations through VergeOS the same way they handle everything else. No separate tools, no specialized training, no operational friction.”

— Yan Ness, CEO, VergeIO

VergeOS support for NVIDIA RTX vWS is available immediately for customers with active subscriptions. To learn more, visit Abstracted GPU Infrastructure or join us for a live webinar and demonstration on April 2nd at 1:00 PM ET: GPU Virtualization Without The Complexity.

?Frequently Asked Questions
What is NVIDIA RTX vWS and why does it matter for enterprise IT?
RTX vWS is NVIDIA’s flagship virtual workstation license, delivering both GPU-accelerated graphics and compute capabilities inside virtual machines. It allows engineers, designers, and AI developers to run demanding professional applications from centralized infrastructure without dedicated physical workstations. For IT teams, this means managing high-performance workstations through the same platform as the rest of the environment.
What does NVIDIA certification mean for VergeOS customers?
NVIDIA certification validates that VergeOS meets NVIDIA’s technical requirements for enterprise GPU virtualization. In practice, it means customers have a joint support path: when GPU issues arise, both VergeIO and NVIDIA engineering teams collaborate to resolve them. There is no finger-pointing between vendors, and customers deploy knowing both companies stand behind the configuration.
Does managing GPUs in VergeOS require specialized expertise?
No. VergeOS abstracts GPU management tasks including driver provisioning, MIG configuration, resource allocation, and monitoring through the same unified interface IT teams already use for compute, storage, and networking. There is no requirement for dedicated GPU specialists, no command-line tools, and no separate management console.
What GPU hardware is validated with VergeOS today?
Currently validated data center GPUs for vGPU include the A100, A30, A40, and L40 series, confirmed in VergeOS 26.1.3. MIG vGPU functionality has been validated on the NVIDIA Blackwell RTX Pro 6000 Server Edition. VergeOS documentation lists the complete set of validated GPU models and supported feature sets.
Where can I see VergeOS GPU management in action?
Join the live webinar on April 2nd at 1:00 PM ET for a full demonstration of GPU pass-through, vGPU, and MIG configuration in a unified private cloud environment. Register at GPU Virtualization Without The Complexity. An on-demand replay will be available after the event.

About VergeIO

VergeIO delivers the private cloud operating system that replaces fragmented infrastructure stacks with a single platform. VergeOS unifies compute, storage, networking, and now GPU management into one solution that runs on standard x86 hardware. Organizations use VergeOS to simplify operations, reduce infrastructure costs, and eliminate vendor lock-in. Learn more at verge.io.

Filed Under: Press Release Tagged With: NVIDIA - VergeOS AI Workstation Campaign

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