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Reviewed-by: Pristromskaia, Margarita <margarita.pristromskaia@t-systems.com> Co-authored-by: Zaoxu, Li <lizaoxu@huawei.com> Co-committed-by: Zaoxu, Li <lizaoxu@huawei.com>
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7.4 KiB
Installing Special Linux Drivers
Before using a private image to create GPU-accelerated ECSs, install a GPU driver for the image.
There are two types of GPU drivers: GRID and Tesla.
- To use graphics acceleration, such as OpenGL, DirectX, or Vulkan, install a GRID driver and separately purchase and configure a GRID license. The GRID driver with a vDWS license also supports CUDA for both computing and graphics acceleration.
- A graphics-accelerated (G series) ECS created from a Linux public image does not have a GRID driver installed by default. To install a GRID driver, see Installing a GRID Driver on a GPU-accelerated ECS.
- To install a GRID driver on a GPU-accelerated ECS created from a private image, see Installing a GRID Driver on a GPU-accelerated ECS.
- To use computing acceleration, install a Tesla driver.
- A computing-accelerated (P series) ECS created from a Linux public image does not have a Tesla driver installed by default. To install a Tesla driver, see Installing a Tesla Driver and CUDA Toolkit on a GPU-accelerated ECS.
- To install a Tesla driver on a GPU-accelerated ECS created from a private image, see Installing a Tesla Driver and CUDA Toolkit on a GPU-accelerated ECS.
Driver |
License |
CUDA |
OpenGL |
DirectX |
Vulkan |
Application Scenario |
Description |
|---|---|---|---|---|---|---|---|
GRID |
Required |
Supported |
Supported |
Supported |
Supported |
3D rendering, graphics workstation, and game acceleration |
The GRID driver must be paid and requires a license to accelerate graphics and image applications. |
Tesla |
Not required |
Supported |
Not supported |
Not supported |
Not supported |
Scientific computing, deep learning training and inference |
The Tesla driver is downloaded free of charge and usually used with NVIDIA CUDA SDKs to accelerate general-computing applications. |
Parent topic: Linux Operations