Scaling the AI-Ready Data Center with NVIDIA RTX PRO 4500 Blackwell Server Edition and NVIDIA vGPU 20

2026-04-22 · Source: NVIDIA Technical Blog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure · Depth: Intermediate, medium

Summary

NVIDIA's Multi-Instance GPU (MIG) technology, paired with the new NVIDIA RTX PRO 4500 Blackwell Server Edition GPU and vGPU 20 software, enables hardware-level partitioning of a single physical GPU into multiple independent instances. This allows enterprises to efficiently accelerate diverse workloads, from everyday productivity to lightweight AI development, within virtualized data centers. The RTX PRO 4500 Blackwell Server Edition GPU features 32 GB of GDDR7 memory and supports up to two MIG instances, each providing a dedicated 16 GB framebuffer. This setup ensures predictable Quality of Service (QoS) for multiple users or applications simultaneously running AI models, simulations, or graphics rendering without resource contention. The vGPU 20 software also introduces enhancements like fixed-share scheduling, Wayland support, and integration with VergeOS, alongside new NVIDIA AI Virtual Workstation (vWS) Toolkit capabilities.

Key takeaway

For IT Professionals managing virtualized data centers, adopting NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs with vGPU 20 allows for significant acceleration of diverse enterprise workloads. You can provision multiple virtual machines with dedicated GPU resources from a single physical GPU, ensuring consistent performance for AI development, simulations, and knowledge work. Consider requesting a free 90-day NVIDIA vGPU software trial to evaluate its benefits in your environment.

Key insights

NVIDIA MIG and vGPU 20 enable efficient GPU resource partitioning for diverse virtualized enterprise workloads.

Principles

• Hardware partitioning ensures predictable QoS.
• Virtualization enhances GPU resource utilization.

Method

Deploy VMs with NVIDIA vGPU and RTX PRO 4500 Blackwell Server Edition by configuring vSphere for vGPU/MIG profiles, setting the GPU to "Shared Direct" and "Mixed Size" vGPU mode, and attaching MIG-backed vGPU profiles to VMs.

In practice

• Use `nvidia-smi` to monitor MIG and vGPU status.
• Verify vGPU profile in Windows Device Manager.
• Run dxdiag to confirm hardware acceleration.

Topics

• NVIDIA RTX PRO 4500 Blackwell
• NVIDIA vGPU 20
• Multi-Instance GPU
• Virtualized Data Centers
• VMware vSphere Deployment

Best for: IT Professional, MLOps Engineer, AI Architect

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Editorial summary, takeaway, and curation by AIssential. Original article published by NVIDIA Technical Blog.