![]() ![]() If GPU information is displayed in the command output, the driver is running properly. ![]() Run the following command to check whether the driver is running properly:.from, and upload this package to the /tmp directory on the BMS.įigure 2 Searching the NVIDIA GPU driver package However, if you hope to compile MMCV from source or develop other CUDA operators, you need to install the complete CUDA toolkit from NVIDIAs website. Download NVIDIA GPU driver installation package NVIDIA-Linux-x86_64- xxx.yy.Run the sudo reboot command to restart the BMS.Add the following information to the end of the /etc/modprobe.d/nf file: blacklist nouveau.(Optional) If the gcc, g++, and make dependency packages do not exist, run the following commands to install the gcc, g++, and make tools:.If the command output contains "Result = PASS", the CUDA Toolkit and the NVIDIA GPU driver have been installed successfully. Run the following commands to check whether the installation is successful:Ĭd /usr/local/cuda/samples/1_Utilities/deviceQueryDrv/.cuda_ a.b.cc_xxx.yy _n -toolkit -samples -silent -override -tmpdir=/tmp/ Run the following command to install the CUDA Toolkit:.Run the following command to change the permission to the installation package:.Download CUDA Toolkit installation package cuda_ a.b.cc_xxx.yy _n from, and upload this package to the /tmp directory on the BMS. DOWNLOAD NOW GPUDirect RDMA Direct Communication between NVIDIA GPUs Remote direct memory access (RDMA) enables peripheral PCIe devices direct access to GPU memory.Run the following command to delete the installation package:.Run the following command to install the NVIDIA GPU driver:.run from, and upload this package to the /tmp directory on the BMS.įigure 1 Searching for the NVIDIA GPU driver package (CentOS 7.4) The CUDA Production installers include the CUDA Toolkit, CUDA samples, Nsight Visual Studio edition (for Windows) and Nsight Eclipse Edition (for Linux / Mac OS X), and are now available for on the CUDA Toolkit Download Page. ![]() If you selected a specified version of NVIDIA GPU driver rather than a version contained in the CUDA Toolkit, perform this step.
0 Comments
Leave a Reply. |