nvidia

来源： https://stackoverflow.com/questions/18382271/how-can-i-modify-xorg-conf-file-to-force-x-server-to-run-on-a-specific-gpu-i-a

来源： https://stackoverflow.com/questions/18382271/how-can-i-modify-xorg-conf-file-to-force-x-server-to-run-on-a-specific-gpu-i-a

来源： https://stackoverflow.com/questions/61865257/nvprof-command-error-cupti64-102-dll-was-not-found

来源： https://stackoverflow.com/questions/61865257/nvprof-command-error-cupti64-102-dll-was-not-found

来源： https://stackoverflow.com/questions/61865257/nvprof-command-error-cupti64-102-dll-was-not-found

来源： https://stackoverflow.com/questions/63600436/nvidia-driver-support-on-ubuntu-in-docker-from-host-windows-found-no-nvidia-d

来源： https://stackoverflow.com/questions/25968347/does-cuda-allow-multiple-applications-on-same-gpu-at-the-same-time

问题 The NVIDIA-SMI is throwing this error: NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running I purged NVIDIA and installed it again following steps mentioned here. My device specs are as follows: Server with a Tesla M40 Running on Ubuntu 16.04 Kernel version Linux 4.4.0-116-generic x86_64 Driver: nvidia-384 Can someone please help in solving the error? 回答1: Try Download the driver from here sudo apt-get

问题 System : I've a Windows Server 2019 OS installed with a NVIDIA Tesla T4 Tensor Core GPU. Goal : Planning to read real time streaming videos from an IP camera and to further process frame by frame. Goal is to leverage NVIDIA DeepStream SDK, but issue is, it isn't available for Windows OS. So, I'm thinking on the docker lines, but since am very new to docker containers, would like to know if I can install a docker on Windows and can run this deepstream docker image on that. If not, is there any

问题 I have a laptop with a GeForce 940 MX. I want to get Tensorflow up and running on the gpu. I installed everything from their tutorial page, now when I import Tensorflow, I get >>> import tensorflow as tf I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so locally I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft