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VMware-to-ZStack Case Collection
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ZStack Cloud 5.5.16>ZStack Cloud Tutorials>ZStack Cloud Private Cloud>GPU Passthrough Tutorial>Overview
Overview
ZStack Cloud supports the Graphics Processing Unit (GPU) passthrough feature. A physical GPU (pGPU), along with all its peripherals (including the GPU graphics card, GPU sound card, and other small devices on the GPU), can be passed through to a VM instance as a group. This allows the VM instance to leverage the powerful parallel computing capabilities of the pGPU. This feature applies to 3D rendering, high-definition transcoding and decoding, as well as High-Performance Computing (HPC) scenarios that demand high computational intensity.
Through passthrough, ZStack Cloud can monitor the load status of GPU devices in real time and sound alarm in abnormal conditions, providing you with a complete and convenient solution for GPU operation and maintenance.
The GPU passthrough feature applies to the pGPUs of the following models.
| Vendor | Model |
|---|---|
| NVIDIA | Nvidia RTX 6000Ada, Nvidia RTX A6000 |
| GeForce RTX 5090, Geforce RTX 4090, Nvidia RTX 3090 | |
| Quadro RTX 8000, Quadro RTX 6000 | |
| M4000, P2000 | |
| GTX 1650/1660, GTX 1060ti | |
H100, H200, H800, H20 Note: Supported only by ZStack Cloud H84R ISO. | |
| Nvidia L40, Nvidia L20, Nvidia L4 | |
| Nvidia A100, Nvidia A30 | |
| Nvidia A40, Nvidia A16, Nvidia A10, Nvidia T4 | |
| Tesla V100, Tesla P4/6/40/100, M6/10/60 | |
| K6000 | |
| AMD | Radeon v620, Radeon RX5700 |
| RRO W7800Note: Passthrough to VM instances running Windows operating system is not currently supported. | |
| FirePro S7150, FirePro S7150X2 | |
| Huawei | Atlas 300i proNote: Only GPUs of this model installed on ARM hosts can be passthroughed. |
| 910B3/4Note: Only GPUs of this model installed on ARM hosts can be passthroughed. | |
| Hygon | Z100, Z100L |
| K100-AI | |
| Enflame | S60 |
| Iluvatar CoreX | Zhikai MR-V100 |
| Tiangai | |
| Vastai | SV100, SG100Note: We do not recommend passthrough SG100 directly. It is recommended to slice it into vGPUs before use. |
| KUNLUNXIN | P800 |
| Alibaba PPU | PPU-ZW810E |
| Other | MetaX N100, MOORE THREADS, Cambricon, and others |
Application Scenarios
3D Rendering
Both Pre-Rendering (or Offline Rendering) and Real-Time Rendering (or Online Rendering) for 3D computer graphics are time-consuming. Pre-Rendering, a technology often used in film-making, demands high computational intensity that needs to be provided by a substantial number of servers. Real-Time Rendering, a technology commonly used in 3D video games, relies on GPUs to complete this process.
Nowadays, with the rapid development of the GPU technology, considerable 3D rendering cases are accomplished in GPU server clusters. With the GPU passthrough feature provided by ZStack Cloud, you can perform centralized cluster management efficiently with a low GPU performance loss (less than 5%). Combined with intelligent monitoring software and the billing service of ZStack Cloud, the feature provides you with a comprehensive, convenient, and efficient rendering farm solution.
Artificial Intelligence
GPU supports deep learning tasks due to its compute capability. Since the launch of TensorFlow, a tool for creating neural networks, by Google, GPUs have been gaining favour among research institutes and companies, and adopted as infrastructures.
Take the NVIDIA P100 graphic card as an example, when passed through to a VM instance on ZStack Cloud, test results show that its performance is nearly identical to specifications, fully meeting the infrastructure requirements for large-scale model training.
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 passthrough feature to create a virtual gaming environment with enhanced isolation and smooth computation and rendering, providing you with an improved gaming experience.
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 passthrough feature provided by ZStack Cloud, coupled with protocols such as RDP (Remote Desktop Protocol) or PCoIP (PC over IP), you can leverage the GPU to ensure the smooth operation of 3D designs or games and gain the VDI experience as great as that in a physical environment.
Next Chapter: Considerations