This article will guide you to create an environment using Miniconda on a LANTA HPC system.

Using Miniconda via Easybuild

Miniconda activation

1. Use the ml av Miniconda command to see which version of Miniconda is available on the LANTA HPC system.

2. Use the ml Miniconda3/xx.xx.x command to load the Miniconda version that you want to use. If you don't specify a version, the default version (D) is loaded, which is Miniconda3/22.11.1-1.

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username@lanta:~> conda env list
# conda environments:
#
base                     /lustrefs/disk/modules/easybuild/software/Miniconda3/22.11.1-1
netcdf-py39              /lustrefs/disk/modules/easybuild/software/Miniconda3/22.11.1-1/envs/netcdf-py39
pytorch-1.11.0           /lustrefs/disk/modules/easybuild/software/Miniconda3/22.11.1-1/envs/pytorch-1.11.0
tensorflow-2.6.0         /lustrefs/disk/modules/easybuild/software/Miniconda3/22.11.1-1/envs/tensorflow-2.6.0
username@lanta:~> conda activate tensorflow-2.6.0

Creating an environment to run the Jupyter Notebook

Load Miniconda module

1. Use the ml av Miniconda command to see which version of Miniconda is available on the LANTA HPC system.

2. Use the ml Miniconda3/xx.xx.x command to load the Miniconda version that you want to use. If you don't specify a version, the default version (D) is loaded, which is Miniconda3/22.11.1-1.

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(myenv) username@lanta:~> conda install jupyter
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(myenv) username@lanta:~> conda install -c anaconda tensorflow-gpu
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Running Jupyter Notebook via ssh tunneling

Example script for running Jupyter Notebook

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http://127.0.0.1:8714/?token=2923d6fab4ef109f30e63a77014e632eed3fd2a5fa561929

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