diff --git a/docs/using-gpus.md b/docs/using-gpus.md
index 2eedff6854816b0469115f902ce579031bedf8bd..4fb94c70e5ff7e2ad53710d7069bedf6f8a9c782 100644
--- a/docs/using-gpus.md
+++ b/docs/using-gpus.md
@@ -378,7 +378,7 @@ If you want more details, you can find the documentation for our various systems
 
 - [JUWELS documentation: GPU Computing](https://apps.fz-juelich.de/jsc/hps/juwels/gpu-computing.html)
 - [JURECA documentation: GPU Computing](https://apps.fz-juelich.de/jsc/hps/jureca/gpu-computing.html)
-- [JUSUF documentation: GPU Computing](https://apps.fz-juelich.de/jsc/hps/jusuf/cluster/gpu-computing.html)
+- [JUSUF documentation: GPU Computing](https://apps.fz-juelich.de/jsc/hps/jusuf/gpu-computing.html)
 
 The [CUDA SDK](https://docs.nvidia.com/cuda/) documentation gives you detailed information about how to develop CUDA code.
 There are also excellent articles in the web for learning CUDA like [An Even Easier Introduction to CUDA](https://developer.nvidia.com/blog/even-easier-introduction-cuda/) or [An Introduction to CUDA-Aware MPI](https://developer.nvidia.com/blog/introduction-cuda-aware-mpi/).