Update pytorch.md

docs.it4i/lumi/pytorch.md

@@ -9,6 +9,12 @@
 * Official LUMI page: [https://lumi-supercomputer.github.io/LUMI-EasyBuild-docs/p/PyTorch/][3]
   * **Warning:** be careful where the SIF image is installed or copied ($HOME is not recommended for quota reasons). For EasyBuild you must specify the installation path: `export EBU_USER_PREFIX=/project/project_XXXX/EasyBuild`.
 
+## CSC installed software collection
+
+- [https://docs.csc.fi/support/tutorials/ml-multi/][8]
+- [https://docs.lumi-supercomputer.eu/software/local/csc/][9]
+- [https://docs.csc.fi/apps/pytorch/][10]
+
 ## PyTorch Install
 
 ### Base Environment
@@ -182,8 +188,11 @@ export NCCL_DEBUG_SUBSYS=INIT
 ## References
 
 * Samuel Antao (AMD), LUMI Courses
-* [https://lumi-supercomputer.github.io/LUMI-training-materials/4day-20230530/extra_4_10_Best_Practices_GPU_Optimization/][5]
-* [https://lumi-supercomputer.github.io/LUMI-training-materials/4day-20231003/extra_4_10_Best_Practices_GPU_Optimization/][6]
+  * [https://lumi-supercomputer.github.io/LUMI-training-materials/4day-20230530/extra_4_10_Best_Practices_GPU_Optimization/][5]
+  * [https://lumi-supercomputer.github.io/LUMI-training-materials/4day-20231003/extra_4_10_Best_Practices_GPU_Optimization/][6]
+
+* Multi-GPU and multi-node machine learning by CSC
+  * [https://docs.csc.fi/support/tutorials/ml-multi/][11]
 
 [1]: https://pytorch.org/
 [2]: https://github.com/pytorch/pytorch
@@ -192,3 +201,7 @@ export NCCL_DEBUG_SUBSYS=INIT
 [5]: https://lumi-supercomputer.github.io/LUMI-training-materials/4day-20230530/extra_4_10_Best_Practices_GPU_Optimization/
 [6]: https://lumi-supercomputer.github.io/LUMI-training-materials/4day-20231003/extra_4_10_Best_Practices_GPU_Optimization/
 [7]: https://github.com/ROCmSoftwarePlatform/aws-ofi-rccl
+[8]: https://docs.csc.fi/support/tutorials/ml-multi
+[9]: https://docs.lumi-supercomputer.eu/software/local/csc/
+[10]: https://docs.csc.fi/apps/pytorch/
+[11]: https://docs.csc.fi/support/tutorials/ml-multi/