RAPIDS: Difference between revisions

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Revision as of 02:42, 19 December 2020

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→‎Where to look for a Docker image for RAPIDS

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 * [https://ngc.nvidia.com/catalog/containers/nvidia:rapidsai:rapidsai NVIDIA GPU Cloud (NGC)]: this site provides two types of RAPIDS images, i.e. base type and runtime type.
-** base type - contains a RAPIDS environment ready to use. Use this type of image if you want to submit a job to the Slurm scheduler.
+** base - contains a RAPIDS environment ready to use. Use this type of image if you want to submit a job to the Slurm scheduler.
-** runtime type - extends the base image by adding a Jupyter notebook server and example notebooks. Use this type of image if you want to interactively work with RAPIDS through notebooks and examples.
+** runtime - extends the base image by adding a Jupyter notebook server and example notebooks. Use this type of image if you want to interactively work with RAPIDS through notebooks and examples.
 * [https://hub.docker.com/r/rapidsai/rapidsai-dev Docker Hub]: this site provides RAPIDS images in devel type.
-** devel type - contains the full RAPIDS source tree, the compiler toolchain, the debugging tools, the headers and the static libraries for RAPIDS development. Use this type of image if you want to implement any customized operations with low-level access to cuda-based processes.
+** devel - contains the full RAPIDS source tree, the compiler toolchain, the debugging tools, the headers and the static libraries for RAPIDS development. Use this type of image if you want to implement any customized operations with low-level access to cuda-based processes.
 ==Build a RAPIDS Singularity image==