diff --git a/README.md b/README.md
index 32dfaafeb0c24a0ee697ec1d8a48b76d815270d9..c519c8749f6f8ef346ecb674823b2f8f5ce5412f 100644
--- a/README.md
+++ b/README.md
@@ -6,7 +6,7 @@ You will create a docker-based environment on your machine, that can be use to s
 a jupyter server. Then you transfer the docker image to the supercomputer and make it available 
 within Jupyter-JSC. Of course, this works without Jupyter, but is much less fun.
 
-In General, the usage of singularity containers on the HPC is highly recommended. If the containers from the NVIDIA container registry
+In General, the usage of singularity containers on HPC systems is recommended. If the containers from the NVIDIA container registry
 [link](https://catalog.ngc.nvidia.com/) are used, you can be quite sure that you are as fast as it gets.
 
 The workflow is compatible with windows as well as Linux and MacOS, however only if your host is of X86 architecture (new Macs might pose a problem).