What are the advantages of gpu virtualization applications?

Gpu virtualization application advantages: 1. Improve computing efficiency: virtual GPU can be used by multiple virtual machines at the same time to achieve the effect of resource sharing, thereby improving computing efficiency; 2. Release hardware potential: determined by the characteristics of the GPU It can perform well in parallel computing, and GPU virtualization technology allows the GPU to run on multiple virtual machines at the same time, thereby realizing resource sharing, improving hardware utilization, reducing hardware waste, and reducing maintenance costs; 3. Improve hardware Compatibility; 4. Support high-density concurrency, etc.

The application advantages of GPU virtualization are mainly reflected in the following aspects:

1. Improving computing efficiency: GPU virtualization The technology can divide the GPU resources on a physical machine into multiple virtual GPUs, so that each virtual GPU can run in an independent operating system and application program. Virtual GPUs can be used by multiple virtual machines at the same time to achieve resource sharing, thereby improving computing efficiency.

2. Release the hardware potential: The characteristics of the GPU determine that it can perform well in parallel computing, and GPU virtualization technology allows the GPU to run on multiple virtual machines at the same time, thereby achieving Resource sharing improves hardware utilization, reduces hardware waste, and reduces maintenance costs.

3. Improve hardware compatibility: GPU hardware virtualization is virtualization implemented on hardware graphics cards, with higher performance (higher than software GPU performance) and the same performance as PC and compatibility.

4. Support high-density concurrency: an M10 graphics card can support up to 64 mid- to low-end users. For mid-to-low-end 3D applications and standard-definition video editing needs, it is recommended to recommend the vGPU solution first.

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