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Nvidia Virtual GPU

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Pricing from
$10 per concurrent user per year
Free Trial unavailable
Free version unavailable
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User industry
  1. Media and communications
  2. Education and training
  3. Arts, entertainment, and recreation

What is Nvidia Virtual GPU

NVIDIA Virtual GPU (vGPU) is GPU virtualization software that enables multiple virtual machines or virtual desktops to share a single physical NVIDIA GPU while providing hardware-accelerated graphics and compute. It is used by IT infrastructure teams running VDI, remote workstations, and GPU-accelerated applications on supported hypervisors and cloud environments. The product relies on NVIDIA GPU hardware plus a vGPU software license and integrates with common virtualization stacks through NVIDIA vGPU Manager and guest drivers.

pros

Enables shared GPU acceleration

It allows multiple VMs to access GPU resources from a single physical GPU, improving utilization compared with dedicating a GPU per workload. This supports graphics-intensive VDI and workstation use cases as well as certain compute workloads, depending on the vGPU profile and licensing. The approach fits environments that already standardize on server virtualization and need GPU acceleration without redesigning the platform.

Broad hypervisor ecosystem support

NVIDIA vGPU supports major enterprise hypervisors and is commonly deployed alongside established virtualization platforms. This reduces the need to replace existing virtualization management tooling and processes. It also supports a range of guest OS configurations through NVIDIA-provided drivers, which helps standardize deployment across virtual desktop and application server images.

Policy-based GPU partitioning

Administrators can assign vGPU profiles that define GPU framebuffer and resource allocation per VM, enabling predictable sizing for different user tiers or application classes. This makes it easier to align capacity planning with workload requirements than ad hoc GPU pass-through. The model also supports operational controls such as limiting per-VM GPU resources to reduce noisy-neighbor risk.

cons

Requires NVIDIA hardware and licensing

The software depends on compatible NVIDIA data center GPUs and a vGPU subscription/license, which can materially affect total cost of ownership. Organizations must also manage license compliance and entitlement tracking across clusters. This can be more complex than purely software-based virtualization features.

Not a DCIM or NMS tool

Despite being deployed in data centers, vGPU does not provide core DCIM functions such as asset inventory, rack/space planning, power/thermal modeling, or facilities workflows. It also does not replace network management tools for device monitoring, configuration management, or topology mapping. Teams typically need separate platforms for DCIM and network operations.

Operational complexity and compatibility constraints

Deployments require coordination across GPU firmware, host drivers (vGPU Manager), guest drivers, and hypervisor versions, and compatibility matrices can constrain upgrade timing. Troubleshooting often spans virtualization, OS, and GPU layers, which can increase operational burden. Some features and performance characteristics vary by GPU model, vGPU profile, and licensing edition.

Plan & Pricing

Plan Price Key features & notes
Virtual Applications (vApps) Annual subscription: $10 per concurrent user (CCU) per year
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Perpetual: $20 per CCU (plus $5 SUMs per year) For RDSH/virtual application use (e.g., Citrix). Annual subscription includes software license and SUMs (Support, Upgrade & Maintenance). Perpetual license requires SUMs; purchase via NVIDIA partner network.
Virtual PC (vPC) Annual subscription: $50 per CCU per year
Perpetual: $100 per CCU (plus $25 SUMs per year) For virtual desktops delivering standard PC applications, browser and multimedia. Annual subscription includes software license and SUMs. Perpetual license requires SUMs; purchase via NVIDIA partners.
RTX Virtual Workstation (vWS) Annual subscription: $250 per concurrent user per year
Perpetual: $450 per CCU (plus $100 SUMs per year) For professional graphics and workstation applications; includes NVIDIA RTX Enterprise driver. Annual subscription includes software license and SUMs. Perpetual license requires SUMs; purchase via NVIDIA partners.

Seller details

NVIDIA Corporation
Santa Clara, California, USA
1993
Public
https://www.nvidia.com/
https://x.com/nvidia
https://www.linkedin.com/company/nvidia/

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NVIDIA Quadro
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VRWorks
NVIDIA Deep Learning GPU Training System (DIGITS)
NVIDIA Deep Learning AMI
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Best Nvidia Virtual GPU alternatives

Google Compute Engine
Nutanix Cloud Infrastructure (NCI)
Proxmox VE
oVirt
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