diff --git a/docs.it4i/cs/guides/grace.md b/docs.it4i/cs/guides/grace.md
index a2fba21d7a2331fa10ef44a2c73274b32e542446..3266a505dcec5bab8483602ad3ce76d6f7e9fce7 100644
--- a/docs.it4i/cs/guides/grace.md
+++ b/docs.it4i/cs/guides/grace.md
@@ -17,6 +17,7 @@ where:
 ## Available Toolchains
 
 The platform offers three toolchains:
+
 - Standard GCC (as a module `ml GCC`)
 - [NVHPC](https://developer.nvidia.com/hpc-sdk) (as a module `ml NVHPC`)
 - [Clang for NVIDIA Grace](https://developer.nvidia.com/grace/clang) (installed in `/opt/nvidia/clang`)
@@ -38,6 +39,7 @@ for(int i = 0; i < 1000000; ++i) {
     }
 }
 ```
+
 may emit scalar code for the inner loop leading to no vectorization being used at all.
 
 ### Clang (For Grace) Toolchain
@@ -73,6 +75,7 @@ The basic libraries (BLAS and LAPACK) are included in NVHPC toolchain and can be
 ### NVIDIA Performance Libraries
 
 The [NVPL](https://developer.nvidia.com/nvpl) package includes more extensive set of libraries in both sequential and multi-threaded versions:
+
 - BLACS: `-lnvpl_blacs_{lp64,ilp64}_{mpich,openmpi3,openmpi4,openmpi5}`
 - BLAS: `-lnvpl_blas_{lp64,ilp64}_{seq,gomp}`
 - FFTW: `-lnvpl_fftw`
@@ -112,6 +115,7 @@ ml OpenMPI
 mpic++ -fast -fopenmp hello.cpp -o hello
 OMP_PROC_BIND=close OMP_NUM_THREADS=4 mpirun -np 4 --map-by slot:pe=36 ./hello
 ```
+
 In this configuration we run 4 ranks bound to one quarter of cores each with 4 OpenMP threads.
 
 ## Simple BLAS Application