|which docker pytorch image supports cuda 10.2||0.87||0.1||5527||48|
The Dockerfiles for the images are open-source and licensed under 3-clause BSD. For more information see the Supported Tags section below. The NVIDIA Container Toolkit for Docker is required to run CUDA images. For CUDA 10.0, nvidia-docker2 (v2.1.0) or greater is recommended. It is also recommended to use Docker 19.03.What container toolkit do I need to run CUDA images?
The NVIDIA Container Toolkit for Docker is required to run CUDA images. For CUDA 10.0, nvidia-docker2 (v2.1.0) or greater is recommended. It is also recommended to use Docker 19.03. How to report a problemWhere can I find the CUDA image tags for centos7 and 8?
Visit OpenSource @ Nvidia for the GPL sources of the packages contained in the CUDA base image layers. The Cuda image tags for centos7 and 8 may be missing on NGC and Docker Hub. Centos upstream images often fail security scans required by Nvidia before publishing images.What is Cuda and how does it work?
CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers can dramatically speed up computing applications by harnessing the power of GPUs. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications.