What is GPU Virtualization (vGPU)?

What is GPU Virtualization (vGPU)?

GPU virtualization—also called vGPU—allows a single physical GPU to be shared securely across multiple virtual machines (VMs), users, or applications. With IronGPU, this means scalable, high-performance compute for environments that require flexibility and efficiency.

How GPU Virtualization Works

Using technologies like NVIDIA vGPU, AMD MxGPU, or SR-IOV, a physical GPU is partitioned into multiple virtual GPUs. Each virtual instance behaves like a fully functional GPU, giving users direct access to hardware acceleration without resource conflict.

This enables multiple users or VMs to perform compute-intensive tasks—AI training, simulations, or 3D rendering—concurrently and independently.

Why vGPU Matters

• Multi-user environments: Support dozens of users on a single system—ideal for academic labs, shared research centers, and cloud platforms.
• Resource efficiency: Maximize GPU utilization by dividing workloads instead of dedicating one GPU per user.
• Cost savings: Reduce the need for multiple standalone systems and simplify infrastructure management.
• Security & isolation: Users operate in sandboxed virtual environments while benefiting from full hardware acceleration.

IronGPU vGPU-Ready Solutions

IronGPU servers are engineered to support vGPU deployments out of the box, with validated support for:

• NVIDIA vGPU with A-series, L-series, and RTX GPUs
• VMware vSphere, Citrix Hypervisor, and Red Hat KVM
• GPU pass-through and mediated device assignment
• Full remote management and monitoring tools

Whether you're building a virtual lab, powering AI training environments, or enabling remote 3D design, IronGPU provides the platform to do it right.

Virtualize smarter. Share GPU power without compromise—only with IronGPU.

Would you like to be an IronGPU Customer or Authorized Partner?

Click Here to go to our inquiry page to learn how to become an IronGPU Customer or Partner.
Or call us at 508-618-1301 or 508-594-8038 today!

IronGPU Services
System Design
Pre-Configuration/Staging
Remote/Onsite Service Contracts
IronGPU Training
Repair/Upgrades

IronGPU EDU
What is a GPU?
What is a GPU Server?
Raid for AI?
Why NDAA vs Non Compliance?
What GPU do I need?
What is Inference vs. Training? Build Yourself vs IronGPU?

IronGPU Info
What is AI & Deep Learning?
Edge AI vs. Cloud AI
What is GPU Cooling?
TensorFlow & PYTorch
GPU Virtualization
WorkStation or Server?

Legal Info
Standard Terms & Warranty
IronGPU License Agreement
IronGPU Privacy Policy