![]() ![]() And yes, Linux is the best for server-related stuff).Īlso, if you own the latest Nvidia GPU, then you're probably already familiar with the hassle regarding the graphics driver and so on.įor all these reasons, I was thinking about trying something different: utilizing the new Windows 11 operating system to use the CUDA cores from my Graphics Card. ![]() ![]() But, I do not like Linux as a desktop operating system (do not get offended, as it is my personal preference. If you can afford a good Nvidia Graphics Card (with a decent amount of CUDA cores) then you can easily use your graphics card for this type of intensive work.Ī lot of developers use Linux for this. But you might wonder if the free version is adequate. Is not available and its referred to another package.If you are learning machine learning / deep learning, you may be using the free Google Colab. Libcuda.so (libc6,AArch64) => /usr/lib/aarch64-linux-gnu/tegra/libcuda.soīut, when i trying to install cuda toolkit by run the sudo apt install nvidia-cuda-toolkit Libcuda.so (libc6,AArch64) => /usr/lib/aarch64-linux-gnu/libcuda.so ![]() Libcuda.so.1 (libc6,AArch64) => /usr/lib/aarch64-linux-gnu/tegra/libcuda.so.1 Libicudata.so (libc6,AArch64) => /usr/lib/aarch64-linux-gnu/libicudata.so Libicudata.so.55 (libc6,AArch64) => /usr/lib/aarch64-linux-gnu/libicudata.so.55 Libnvsample_cudaprocess.so (libc6,AArch64) => /usr/lib/aarch64-linux-gnu/libnvsample_cudaprocess.so Then i trying to run ldconfig -p | grep cuda and the result shown How about to solve my error, i have been installed cuda 9.0 but when i run nvcc–version its still not found and when i trying to run echo $PATH of nvcc the location of cuda 9.0 show on /opt/ros/kinetic/bin:/usr/local/cuda-9.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin Well, we see memory consumption, but no other details. | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. I dont knw what this error means because the driver is correctly installed and nvcc also works fine for other applications.Īlso when I run an application on gpu, nvidia-smi shows this: I am trying to compile cudaSolvers for some opensource toolbox in ubuntu16.04. So I followed thid link How to complete a dpkg cuBLAS Patch Update to CUDA 8 installation in 16.04? - Ask Ubuntu. I hope this is not too messy ad it will work fine along the way to learn TensorFlow.Ī last thing, there were instructions to install cuda8 but there were not for the accompanying Patch (cublas). May be a reboot was needed after the environment setup. I do not know why the environment setup did not work at the first place, I were distracted by the symbolic link warning (and not seeing done at the end of the installation process of cuda 8.0 deb local). I checked the PATH to my PATH variables, I could not find /usr/local/cuda-8.0/binĪnd launching the nvcc -version I get cuda 8 recognized:Ĭopyright (c) 2005-2016 NVIDIA CorporationĬuda compilation tools, release 8.0, V8.0.61 Libnvrtc-builtins.so.8.0 (libc6,x86-64) => /usr/local/cuda-8.0/targets/x86_64-linux/lib/libnvrtc-builtins.so.8.Īfter a while I launched $sudo apt-get update It looks that the packages where installed within the cuda 8.0 directories Wich I did without purging cuda or nvidia.Īnd when I launched nvcc -version I get cuda 7.5 installed. I added the cuda 8 bin folder to the PATH variables with respect to Installation Guide Linux :: CUDA Toolkit DocumentationĬommand does show no nvcc installed with proposing to execute: I tried the solution within this link 16.04 - libEGL.so.1 is not a symbolic link - Ask Ubuntu sbin/ldconfig.real: /usr/lib32/nvidia-375/libEGL.so.1 is not a symbolic link sbin/ldconfig.real: /usr/lib/nvidia-375/libEGL.so.1 is not a symbolic link On the extracted deb(local) installer file the process ends up with these lines: I have been through the same problem, I followed the installation guide in here Installation Guide Linux :: CUDA Toolkit Documentation ![]()
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