diff --git a/templates/deepmd-kit/2.2.10/deepmdkit.arm.cpu.kgcc.hmpi.config b/templates/deepmd-kit/2.2.10/deepmdkit.arm.cpu.kgcc.hmpi.config
new file mode 100644
index 0000000000000000000000000000000000000000..de43a144e76d4bf5bd7a26ca57c9a1675cf5cbda
--- /dev/null
+++ b/templates/deepmd-kit/2.2.10/deepmdkit.arm.cpu.kgcc.hmpi.config
@@ -0,0 +1,64 @@
+[SERVER]
+11.11.11.11
+
+[DOWNLOAD]
+
+[DEPENDENCY]
+set -e
+set -x
+
+yum install -y cmake
+module purge
+./jarvis -install package/anaconda3/2024.10 any
+module use ./software/modulefiles
+source ${JARVIS_ROOT}/software/utils/anaconda3/2024.10/etc/profile.d/conda.sh
+./jarvis -install hpckit/2024.12.30 any
+module use ./software/utils/hpckit/2024.12.30/HPCKit/24.12.30/modulefiles
+module add gcc/compiler12.3.1/gccmodule gcc/hmpi2.4.3/hmpi
+export CC=`which gcc`
+export CXX=`which g++`
+export FC=`which gfortran`
+mkdir -p deepmdkit_install
+git clone -b v2.2.10 https://github.com/deepmodeling/deepmd-kit #使用wget获取的v2.2.10.tar.gz文件缺少.git文件，安装的时候报错，只能使用git clone获取软件文件
+
+[ENV]
+module purge
+module use ./software/modulefiles
+source ${JARVIS_ROOT}/software/utils/anaconda3/2024.10/etc/profile.d/conda.sh
+module use ./software/utils/hpckit/2024.12.30/HPCKit/24.12.30/modulefiles
+module add gcc/compiler12.3.1/gccmodule gcc/hmpi2.4.3/hmpi
+export CC=`which gcc`
+export CXX=`which g++`
+export FC=`which gfortran`
+
+[APP]
+app_name = deepmd-kit 
+build_dir = ${JARVIS_ROOT}/deepmd-kit
+binary_dir = ${JARVIS_ROOT}/software/utils/anaconda3/2024.10/envs/deepmd-kit-tensorflow/bin/
+case_dir = ${JARVIS_ROOT}/deepmd-kit/examples/water/se_e2_a/
+
+[BUILD]
+conda create -n deepmd-kit-tensorflow python=3.9 -y
+conda activate deepmd-kit-tensorflow
+conda install tensorflow -y
+pip install .
+cd source
+mkdir build
+cd build
+cmake -DTENSORFLOW_ROOT=${JARVIS_ROOT}/software/utils/anaconda3/2024.10/envs/deepmd-kit-tensorflow/lib/python3.9/site-packages/tensorflow -DCMAKE_INSTALL_PREFIX=${JARVIS_ROOT}/deepmdkit_install ..
+make -j
+make install
+
+[CLEAN]
+make clean
+conda clean --all --yes
+
+[RUN]
+run = time
+binary = dp train input.json
+nodes = 1
+
+[PERF]
+perf= 
+nsys=
+ncu=--target-processes all