Most platforms treat GPU support as an afterthought. VergeOS runs pass-through, vGPU, and MIG through the same control plane as compute, storage, and networking, so an AI workload deploys like any other application. NVIDIA introduced VergeOS as a supported vGPU platform. This research center collects the campaign analysis.
Resources
ROI Tools
Custom GPU ROI Analysis
Book a working session with a VergeOS engineer to model GPU consolidation against your environment. Real numbers for your node counts, your VMware renewal, and your workload mix.
Sample GPU ROI Analysis Report
See the deliverable before you book. A full sample report showing a $1.87M three-year TCO delta, 1,002% ROI, and the workload-by-workload breakdown a custom analysis produces.
Webinar
On-Demand Recording: GPU Virtualization Without the Complexity
The on-demand session with VergeIO and NVIDIA. A live MIG configuration walkthrough, the partner support model, and the full vGPU 20 architecture explained in 45 minutes. No registration required.
Webinar Presentation: GPU Infrastructure Without Complexity
The full scrolling presentation deck from the webinar. Architecture diagrams, deployment models, and the VergeOS unified GPU management approach in a self-paced format. No registration required.
Datasheet & White Paper
Abstracted GPU Infrastructure
A technical overview of how VergeOS abstracts GPU resources into a unified infrastructure layer, delivering pass-through, vGPU, and MIG through the same control plane as compute, storage, and networking.
GPU Virtualization Without the Complexity
A deep-dive technical white paper on GPU virtualization architectures, comparing pass-through, vGPU, and MIG approaches across operational complexity, resource efficiency, and production readiness. No registration required.
VergeIO Blogs
vGPU 20 + VergeOS Field Report
Six weeks after the NVIDIA vGPU 20 webinar, IT director questions shifted from cost to deployment timing. The field report on the four operational gaps that closed at once.
GPU Infrastructure Without the Complexity
How VergeOS removes the operational complexity from GPU infrastructure by treating GPU workloads as a native platform function rather than an afterthought.
From Zero to RAG in a GPU Virtual Workstation
A step-by-step walkthrough of building a retrieval-augmented generation application inside a VergeOS GPU virtual workstation, from environment to working pipeline.
Industry Coverage
A Beginner’s Guide to GPU Virtualization: Passthrough, vGPU, and MIG
A vendor-neutral explainer covering all three GPU virtualization models, where CLI complexity stops most teams, the use cases by type, and how VergeOS removes the operational barrier.
Why AI Production Infrastructure Prototypes Fail
The pattern behind AI projects that never reach production. The infrastructure gaps that surface only at scale, and what to evaluate before the proof-of-concept ships to ops.
GPU Virtualization: Pass-Through vs vGPU vs MIG
A StorageSwiss analysis of the three GPU virtualization approaches, comparing trade-offs in isolation, density, and operational overhead for production AI workloads.
What to Look For in GPU Support When Evaluating VMware Alternatives
A VMblog byline examining the GPU infrastructure criteria that matter when evaluating VMware alternatives, from provisioning models to lifecycle management.
New analysis, field reports, and partner content are added as the campaign continues. Check back for updates.