分配8GB vGPU配置文件使VM可以单独访问/使用Framebuffer所属的“物理”GPU。
性能方面，你会发现没有区别。
例如，如果您使用4GB vGPU配置文件，那么2个VM可以共享相同的“物理”GPU，而使用2GB vGPU配置文件，4个VM可以共享对相同“物理”GPU的访问。
但是通过使用8GB，没有更多的Framebuffer与其他VM共享，因此该VM保留了对此GPU的唯一访问/使用，从而提供最佳性能。
Passthrough和vGPU之间的主要区别在于vGPU有帧速率限制器，设置为60 fps。
使用Passthrough，没有帧速率限制器。
屏幕分辨率和显示器总量也是一个考虑因素。
如上所述，Passthrough也可以访问CUDA，8Q vGPU配置文件也是如此。
但无论您选择哪种Framebuffer配置文件，GPU处理性能都是相同的，它只取决于您访问它的VM的方式。
关于vApp许可证，您在第一篇文章中提到您拥有“ - NVIDIA Virtual Applications许可证”，因此我假设您拥有此模型的正确许可证。
这里有一个链接可以帮助您进行部署，这里有很多好的信息：https：//docs.nvidia.com/grid/latest/index.html
问候
以上来自于谷歌翻译
以下为原文
Assigning an 8GB vGPU profile gives the VM sole access / use of the "physical" GPU that the Framebuffer is part of. Performance wise, you will notice no difference. For example, if you were using a 4GB vGPU profile, then 2 VMs could share the same "physical" GPU, and with a 2GB vGPU profile, 4 VMs could share access to the same "physical" GPU. But by using 8GB, there is no more Framebuffer to be shared with other VMs, so this VM retains sole access / use of this GPU, which gives the best performance.
The main different between Passthrough and vGPU is that there is a frame rate limiter with vGPU, which is set to 60 fps. With Passthrough, there is no frame rate limiter. Screen resolution and the total amount of monitors are also a consideration. As mentioned above, Passthrough also gives access to CUDA, as does the 8
Q vGPU profile. But regardless of which Framebuffer profile you chose, the GPU processing performance is the same, it just depends how may VMs you have accessing it.
Regarding the vApp license, you mention in your first post that you have "
- NVIDIA Virtual Applications licenses", so I'm assuming that you have the correct licenses available for this model.
Here's a link that will help you out with the deployment, there's lots of good information here: https://docs.nvidia.com/grid/latest/index.html
Regards
分配8GB vGPU配置文件使VM可以单独访问/使用Framebuffer所属的“物理”GPU。
性能方面，你会发现没有区别。
例如，如果您使用4GB vGPU配置文件，那么2个VM可以共享相同的“物理”GPU，而使用2GB vGPU配置文件，4个VM可以共享对相同“物理”GPU的访问。
但是通过使用8GB，没有更多的Framebuffer与其他VM共享，因此该VM保留了对此GPU的唯一访问/使用，从而提供最佳性能。
Passthrough和vGPU之间的主要区别在于vGPU有帧速率限制器，设置为60 fps。
使用Passthrough，没有帧速率限制器。
屏幕分辨率和显示器总量也是一个考虑因素。
如上所述，Passthrough也可以访问CUDA，8Q vGPU配置文件也是如此。
但无论您选择哪种Framebuffer配置文件，GPU处理性能都是相同的，它只取决于您访问它的VM的方式。
关于vApp许可证，您在第一篇文章中提到您拥有“ - NVIDIA Virtual Applications许可证”，因此我假设您拥有此模型的正确许可证。
这里有一个链接可以帮助您进行部署，这里有很多好的信息：https：//docs.nvidia.com/grid/latest/index.html
问候
以上来自于谷歌翻译
以下为原文
Assigning an 8GB vGPU profile gives the VM sole access / use of the "physical" GPU that the Framebuffer is part of. Performance wise, you will notice no difference. For example, if you were using a 4GB vGPU profile, then 2 VMs could share the same "physical" GPU, and with a 2GB vGPU profile, 4 VMs could share access to the same "physical" GPU. But by using 8GB, there is no more Framebuffer to be shared with other VMs, so this VM retains sole access / use of this GPU, which gives the best performance.
The main different between Passthrough and vGPU is that there is a frame rate limiter with vGPU, which is set to 60 fps. With Passthrough, there is no frame rate limiter. Screen resolution and the total amount of monitors are also a consideration. As mentioned above, Passthrough also gives access to CUDA, as does the 8
Q vGPU profile. But regardless of which Framebuffer profile you chose, the GPU processing performance is the same, it just depends how may VMs you have accessing it.
Regarding the vApp license, you mention in your first post that you have "
- NVIDIA Virtual Applications licenses", so I'm assuming that you have the correct licenses available for this model.
Here's a link that will help you out with the deployment, there's lots of good information here: https://docs.nvidia.com/grid/latest/index.html
Regards
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