diff --git a/pages/merlin7/05-Software-Support/cp2k.md b/pages/merlin7/05-Software-Support/cp2k.md
index 5a72fa9..e4a1103 100644
--- a/pages/merlin7/05-Software-Support/cp2k.md
+++ b/pages/merlin7/05-Software-Support/cp2k.md
@@ -28,6 +28,11 @@ module load gcc/12.3 openmpi/5.0.8-hgej cp2k/2025.2-yb6g-omp
 module use unstable Spack
 module load gcc/12.3 openmpi/5.0.8-5tb3-A100-gpu cp2k/2025.2-osvk-A100-gpu-omp 
 ```
+### GH nodes
+```bash
+module use unstable Spack
+module load gcc/12.3 openmpi/5.0.8-v4cd-GH200-gpu cp2k/2025.2-vvak-GH200-gpu-omp
+```
 
 ### SBATCH CPU, 4 MPI ranks, 16 OMP threads
 ```bash
@@ -76,3 +81,75 @@ export OMP_NUM_THREADS=$((SLURM_CPUS_PER_TASK - 1))
 srun cp2k.psmp -i <CP2K_INPUT> -o <CP2K_OUTPUT>
 ```
 
+### SBATCH GH, 2 GPU, 18 OMP threads, 2 MPI ranks
+```bash
+#!/bin/bash
+#SBATCH --time=00:10:00      # maximum execution time of 10 minutes
+#SBATCH --output=_scheduler-stdout.txt
+#SBATCH --error=_scheduler-stderr.txt
+#SBATCH --nodes=1             # number of GH200 nodes with each node having 4 CPU+GPU
+#SBATCH --ntasks-per-node=2  # 2 MPI ranks per node
+#SBATCH --cpus-per-task=18    # 18 OMP threads per MPI rank
+#SBATCH --cluster=gmerlin7
+#SBATCH --hint=nomultithread
+#SBATCH --partition=gh-hourly
+#SBATCH --gpus=2
+
+unset PMODULES_ENV
+module purge
+module use unstable Spack
+module load gcc/12.3 openmpi/5.0.8-v4cd-GH200-gpu cp2k/2025.2-vvak-GH200-gpu-omp
+
+export FI_CXI_RX_MATCH_MODE=software
+export OMP_NUM_THREADS=$((SLURM_CPUS_PER_TASK - 1))
+
+srun cp2k.psmp -i <CP2K_INPUT> -o <CP2K_OUTPUT>
+```
+
+## Developing your own CPU code
+[![Pipeline](https://gitea.psi.ch/HPCE/spack-psi/actions/workflows/cp2k_cpu_merlin7.yml/badge.svg?branch=main)](https://gitea.psi.ch/HPCE/spack-psi
+```bash
+module purge
+module use Spack unstable
+module load gcc/12.3 openmpi/5.0.8-hgej dbcsr/2.8.0-4yld-omp openblas/0.3.30-gye6-omp netlib-scalapack/2.2.2-2trj libxsmm/1.17-hwwi libxc/7.0.0-mibp  libint/2.11.1-nxhl hdf5/1.14.6-tgzo fftw/3.3.10-t7bo-omp py-fypp/3.1-bteo sirius/7.8.0-uh3i-omp cmake/3.31.6-2ajs ninja/1.12.1-afxy
+
+git clone https://github.com/cp2k/cp2k.git
+cd cp2k
+
+mkdir build && cd build
+CC=mpicc CXX=mpic++ FC=mpifort cmake -GNinja -DCMAKE_CUDA_HOST_COMPILER=mpicc -DCP2K_USE_LIBXC=ON -DCP2K_USE_LIBINT2=ON -DCP2K_USE_SIRIUS=ON -DCP2K_USE_SPLA=ON -DCP2K_USE_SPGLIB=ON -DCP2K_USE_HDF5=ON -DCP2K_USE_FFTW3=ON ..
+ninja -j 16
+
+```
+
+## Developing your own GPU code
+#### A100
+[![Pipeline](https://gitea.psi.ch/HPCE/spack-psi/actions/workflows/cp2k_gpu_merlin7.yml/badge.svg?branch=main)](https://gitea.psi.ch/HPCE/spack-psi
+```bash
+module purge
+module use Spack unstable
+module load gcc/12.3 openmpi/5.0.8-5tb3-A100-gpu dbcsr/2.8.0-xcn2-A100-gpu-omp fftw/3.3.10-v4mq-omp libint/2.11.1-3lxv libxc/7.0.0-u556 netlib-scalapack/2.2.2-enjp openblas/0.3.30-ynou-omp py-fypp/3.1-z25p py-numpy/2.3.2-45ay python/3.13.5-qivs cmake/3.31.6-2ajs ninja/1.12.1-afxy
+
+git clone https://github.com/cp2k/cp2k.git
+cd cp2k
+
+mkdir build && cd build
+CC=mpicc CXX=mpic++ FC=mpifort cmake -GNinja -DCMAKE_CUDA_HOST_COMPILER=mpicc -DCP2K_USE_LIBXC=ON -DCP2K_USE_LIBINT2=ON -DCP2K_USE_ACCEL=CUDA -DCMAKE_CUDA_ARCHITECTURES=80 -DCP2K_USE_FFTW3=ON ..
+ninja -j 16
+
+```
+#### GH200
+[![Pipeline](https://gitea.psi.ch/HPCE/spack-psi/actions/workflows/cp2k_gh_merlin7.yml/badge.svg?branch=main)](https://gitea.psi.ch/HPCE/spack-psi
+```bash
+module purge
+module use Spack unstable
+module load gcc/12.3 openmpi/5.0.8-v4cd-GH200-gpu dbcsr/2.8.0-lzj6-GH200-gpu-omp fftw/3.3.10-ajlu-omp hdf5/1.14.6-62wt libint/2.11.1-dpqq libxc/7.0.0-ojgl netlib-scalapack/2.2.2-k7uz openblas/0.3.30-rv46-omp  py-fypp/3.1-j4yw py-numpy/2.3.2-yoqr python/3.13.5-xbg5 cmake/3.31.8-2jne ninja/1.13.0-xn4a
+
+git clone https://github.com/cp2k/cp2k.git
+cd cp2k
+
+mkdir build && cd build
+CC=mpicc CXX=mpic++ FC=mpifort cmake -GNinja -DCMAKE_CUDA_HOST_COMPILER=mpicc -DCP2K_USE_LIBXC=ON -DCP2K_USE_LIBINT2=ON -DCP2K_USE_ACCEL=CUDA -DCMAKE_CUDA_ARCHITECTURES=90 ..
+ninja -j 16
+
+```