将启用CUDA的配置文件分配给vGPU。
如果成功获得许可，请检查许可。
请参阅：http：//images.nvidia.com/content/grid/pdf/161207-GRID-Packaging-and-Licensing-Guide.pdf
检查nvidia-smi报告的“计算模式”。
使用Cuda-Z（http://cuda-z.sourceforge.net/）进行测试。
“cudaErrorInsufficientDriver” - 这表示安装的NVIDIA CUDA驱动程序早于CUDA运行时库。
这不是受支持的配置。
用户应安装更新的NVIDIA显示驱动程序以允许应用程序运行。
检查项目与驱动程序CUDA运行时库（驱动程序386.09具有CUDA版本9.0.284）或CUDA Toolkit运行时库的链接。
使用CUDA Toolkit 9.0（https://developer.nvidia.com/cuda-toolkit-archive）代替CUDA Toolkit 9.1。
以上来自于谷歌翻译
以下为原文
- Assign CUDA enabled profile to vGPU. Check license if it is successfully acquired. See: http://images.nvidia.com/content/grid/pdf/161207-GRID-Packaging-and-Licensing-Guide.pdf
- Check "compute mode" reported by nvidia-smi. Test with Cuda-Z (http://cuda-z.sourceforge.net/).
- "cudaErrorInsufficientDriver" - This indicates that the installed NVIDIA CUDA driver is older than the CUDA runtime library. This is not a supported configuration. Users should install an updated NVIDIA display driver to allow the application to run. Check linking of your project to driver CUDA runtime library (driver 386.09 has CUDA version 9.0.284) or CUDA Toolkit runtime library. Use CUDA Toolkit 9.0 (https://developer.nvidia.com/cuda-toolkit-archive) instead CUDA Toolkit 9.1.
将启用CUDA的配置文件分配给vGPU。
如果成功获得许可，请检查许可。
请参阅：http：//images.nvidia.com/content/grid/pdf/161207-GRID-Packaging-and-Licensing-Guide.pdf
检查nvidia-smi报告的“计算模式”。
使用Cuda-Z（http://cuda-z.sourceforge.net/）进行测试。
“cudaErrorInsufficientDriver” - 这表示安装的NVIDIA CUDA驱动程序早于CUDA运行时库。
这不是受支持的配置。
用户应安装更新的NVIDIA显示驱动程序以允许应用程序运行。
检查项目与驱动程序CUDA运行时库（驱动程序386.09具有CUDA版本9.0.284）或CUDA Toolkit运行时库的链接。
使用CUDA Toolkit 9.0（https://developer.nvidia.com/cuda-toolkit-archive）代替CUDA Toolkit 9.1。
以上来自于谷歌翻译
以下为原文
- Assign CUDA enabled profile to vGPU. Check license if it is successfully acquired. See: http://images.nvidia.com/content/grid/pdf/161207-GRID-Packaging-and-Licensing-Guide.pdf
- Check "compute mode" reported by nvidia-smi. Test with Cuda-Z (http://cuda-z.sourceforge.net/).
- "cudaErrorInsufficientDriver" - This indicates that the installed NVIDIA CUDA driver is older than the CUDA runtime library. This is not a supported configuration. Users should install an updated NVIDIA display driver to allow the application to run. Check linking of your project to driver CUDA runtime library (driver 386.09 has CUDA version 9.0.284) or CUDA Toolkit runtime library. Use CUDA Toolkit 9.0 (https://developer.nvidia.com/cuda-toolkit-archive) instead CUDA Toolkit 9.1.
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