diff --git a/README.md b/README.md
index bcc75aa10b40246c07021d431452703e414619d8..8eca1f1ecd1a7236a90a39e721a757113cd3e802 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).