You can create a container completely from scratch, however, since theseĬontainers are likely to run on GPUs, it is recommended that you at least start with This can be referred to as customizing or extending aĬontainer. One of the great things about containers is that they can be used as starting pointsįor creating new containers. That can be used immediately including containers for deep learning as well as The NGC container registry NVIDIA container repository, nvcr.io, has a number of containers This section will guide you through exercises that will highlight how to create aĬontainer from scratch, customize a container, extend a deep learning framework toĪdd features, develop some code using that extended framework from the developerĮnvironment, then package that code as a versioned release.īy default, you do not need to build a container. With custom code, libraries, data, or settings for your corporate infrastructure. ![]() However, you may want to build a new image from scratch or augment an existing image The nvidia-docker images come prepackaged, tuned, and ready to run
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |