发现470.57.02的驱动支持向后兼容，也就是说经过CUDA兼容性，可以安装CUDA-12.4的运行时环境。
安装NVIDIA 470CUDA 11.4在Ubuntu 18.04裸金属服务器 当涉及到深度学习、机器学习或高性能计算任务时,使用具有GPU加速的硬件环境可以显著提升处理速度,NVIDIA的CUDA平台是一个由图形处理单元(GPU)支持的并行计算平台和应用程序编程接口(API)模型,要在Ubuntu 18.04上安装特定版本的CUDA,例如CUDA 11.4以及与之兼容的NVIDIA驱...
czl@czl-RedmiBook-14:~/cuda$ sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600 czl@czl-RedmiBook-14:~/cuda$ wget https://developer.download.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda-repo-ubuntu1804-10-1-local-10.1.243-418.87.00_1.0-1_amd64.deb -...
This release of the driver supports CUDA C/C++ applications and libraries that rely on the CUDA C Runtime and/or CUDA Driver API. Attention: Release 470 will be the last driver branch to support Data Center GPUs based on the NVIDIA Kepler architecture. This includes discontinued support for...
问题描述:3070装好显卡驱动,cuda之后无法使用,抛出异常:RuntimeError: CUDA error: no kernel image is available for execution on the device 原因:版本之间不匹配 我的显卡驱动: +---+ | NVIDIA-SMI470.103.01 Driver Version:470.103.01 CUDA Version:11.4 | |---+---+---+ | GPU Name Persistence...
驱动的版本可以更高，你这种已经安装了高版本的驱动，再安装低版本cuda的时候，不要选择安装驱动就可以了...
sudo apt install nvidia-utils-470-server nvidia-smi <— NVIDIA-SMI 470.103.01 Driver Version: 470.103.01 CUDA Version: 11.4 (highest CUDA version the installed driver supports ) sudo apt install nvidia-cuda-toolkit nvcc --version <— Cuda compilation tools, release 10.1, V10.1...
| NVIDIA-SMI 470.63.01 Driver Version: 470.63.01 CUDA Version: 11.4 | |---+---+---+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=...
GCC version: 我这个是470的版本。 aptinstallnvidia-utils-470 安装之后再输入nvidia-smi +---+ | NVIDIA-SMI470.199.02Driver Version:470.199.02CUDA Version:11.4| |---+---+---+ | GPU Name Persistence-M|Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr...
cudnn 版本 :cat/usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2 NVIDIA 驱动版本 :cat/proc/driver/nvidia/version 6.pytorch安装 pytorch离线各版本下载 pytorch在线各版本下载 # 发现下载torch用豆瓣的源比清华源更快pip install --index-url https://pypi.douban.com/simple 要安装的包 ...