Overview

ZStack Cloud supports the GPU (Graphics Processing Unit) virtualization feature, which divides physical GPUs (pGPUs) into multiple virtual GPUs (vGPUs) and forms a vGPU pool. You can quickly create lightweight vGPU VM instances based on vGPU specifications, achieving more flexible and scalable resource deployment, optimizing resource utilization, and saving costs. This feature is suitable for lightweight GPU computing scenarios such as cloud gaming, VDI, VR or AR, AI inference, and teaching machine learning.

The GPU virtualization feature applies to the GPU devices of the following models.
Vendor Model
NVIDIA
  • Tesla T4, Tesla M6/M10/M60, Tesla P100/P40/P6/P4, Tesla V100, RTX 6000/8000, A30/40/100
  • More NVIDIA models, see NVIDIA Official Documents
AMD FirePro S7150, FirePro S7150X2
Huawei NPU Atlas 300i Pro
Note: You can only virtualize GPUs of the Huawei NPU Atlas 300i pro model installed on ARM hosts.

Application Scenarios

Cloud Gaming

With the expansion of broadband networks and the widespread usage of mobile devices, a new trend in gaming has emerged where the computational load is shifted to the cloud, while the client merely handles display and control. In this model, cloud servers undertake the task of 3D game rendering. Combined with GPUs, these cloud servers can encode each frame instantly and stream it to any devices connected to the network.

Leveraging the GPU and server CPU capabilities, this cloud gaming model uses ZStack Cloud’s GPU virtualization feature to divide the pGPU into multiple vGPUs you need and pass them through to VM instances. It creates a virtual gaming environment with enhanced isolation and smooth computation and rendering, providing you with an improved gaming experience.

Figure 1. Cloud Gaming


Virtual Desktop Infrastructure (VDI)

GPU has always been an integral part of Virtual Desktop Infrastructure (VDI), for it not only enhances visual experience, but also takes on a primary computational role in special applications, making it a good substitute for traditional PC graphics workstation. Also, GPU enables you to perform 3D designs in a safer environment.

Through the GPU virtualization feature provided by ZStack Cloud, you can divide pGPUs into multiple customized vGPU devices and pass them through to VM instances. Coupled with protocols such as RDP or PCoIP, you can leverage GPU capabilities while optimizing resource utilization. It enables smooth operation of 3D designs or games, providing you with the VDI experience as great as that in a physical environment.

Figure 2. VDI


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