diff --git a/docs.it4i/lumi/software.md b/docs.it4i/lumi/software.md
index 09e7c7b895a0209cb116dc03e0f313a04cc5133f..e5fdff28b8d39820529baed1b81d68f8ddc03912 100644
--- a/docs.it4i/lumi/software.md
+++ b/docs.it4i/lumi/software.md
@@ -4,10 +4,17 @@ Below are the guides for selected [LUMI Software modules][1]:
 
 ## How to Run PyTorch on Lumi-G AMD GPU Accelerators
 
+[PyTorch][8] is an optimized tensor library for deep learning using GPUs and CPUs.
+
 [https://docs.lumi-supercomputer.eu/software/packages/pytorch/][2]
 
 ## How to Run Gromacs on Lumi-G AMD GPU Accelerators
 
+Gromacs is a very efficient engine to perform molecular dynamics simulations
+and energy minimizations particularly for proteins.
+However, it can also be used to model polymers, membranes and e.g. coarse grained systems.
+It also comes with plenty of analysis scripts.
+
 [https://docs.csc.fi/apps/gromacs/#example-batch-script-for-lumi-full-gpu-node][3]
 
 ## AMD Infinity Hub
@@ -19,16 +26,23 @@ including code built recipes for code customization.
 
 ## GPU-Accelerated Applications With AMD INSTINCT™ Accelerators Enabled by AMD ROCm™
 
+The AMD Infinity Hub contains a collection of advanced software containers
+and deployment guides for HPC and AI applications,
+enabling researchers, scientists, and engineers to speed up their time to science.
+
 [https://www.amd.com/system/files/documents/gpu-accelerated-applications-catalog.pdf][5]
 
 ## CSC Installed Software
 
-Codes enabled by CSC and available for all, including PyTorch, TensorFlow, JAX, GROMACS, and others.
+The link below contains a list of codes enabled by CSC
+and available for all, including PyTorch, TensorFlow, JAX, GROMACS, and others.
 
 [https://docs.lumi-supercomputer.eu/software/local/csc/][6]
 
 ## Installation of SW via Conda
 
+Conda is an open-source, cross-platform,language-agnostic package manager and environment management system.
+
 [https://docs.lumi-supercomputer.eu/software/installing/container-wrapper/][7]
 
 [1]: https://lumi-supercomputer.github.io/LUMI-EasyBuild-docs/
@@ -38,3 +52,4 @@ Codes enabled by CSC and available for all, including PyTorch, TensorFlow, JAX,
 [5]: https://www.amd.com/system/files/documents/gpu-accelerated-applications-catalog.pdf
 [6]: https://docs.lumi-supercomputer.eu/software/local/csc/
 [7]: https://docs.lumi-supercomputer.eu/software/installing/container-wrapper/
+[8]: https://pytorch.org/docs/stable/index.html