GPU virtualization implementations generally involve one or more of the following techniques: device emulation, API remoting, fixed pass-through and mediated pass-through.

Apr 16, 2025 · What is GPU virtualization? GPU virtualization is the technology that enables a single physical GPU to be divided into virtual instances that can be shared by multiple users simultaneously …

Enable high-performance virtualization for AI, virtual desktops, and graphics with GPU software that improves scalability, efficiency, and security.

Feb 7, 2025 · By default, the number of virtual functions exposed by an adapter that supports GPU paravirtualization is 32. This number means that the adapter can be added to 32 virtual machines, …

Mar 14, 2025 · Fortunately, NVIDIA provides multiple ways to share and virtualize GPU hardware across different workloads, each with its own advantages and trade-offs. In this post, I’ll walk you through …

GPU virtualization allows multiple virtual machines (VMs) or applications to share the resources of a single physical GPU. Unlike traditional setups where a GPU is dedicated to a single machine or …

Use this comprehensive guide to determine if GPU virtualization is right for your organization. Discover the value of vGPUs, how this technology works and the product options from companies such as …

Sep 2, 2025 · NVIDIA vGPU is a graphics virtualization platform that enables multiple virtual machines (VMs) to share or individually access a physical GPU. It uses the same NVIDIA drivers as physical …

Aug 1, 2025 · This guide will explore key considerations when selecting an NVIDIA GPU for virtualization, different NVIDIA virtualization technologies, and how to align GPU capabilities with …

At its core, GPU virtualisation is the process that allows multiple virtual machines (VMs) or operating systems to share the same underlying physical GPU resources.