diff --git a/spawnerdockerfile/README.md b/spawnerdockerfile/README.md
index d8576ff..635a383 100755
--- a/spawnerdockerfile/README.md
+++ b/spawnerdockerfile/README.md
@@ -1,5 +1,53 @@
 # Base Jupyter Notebook Stack
 
+## ds_report
+
+```shell
+[2024-07-17 02:25:56,956] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+ [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
+ [WARNING]  async_io: please install the libaio-dev package with apt
+ [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
+ [WARNING]  Please specify the CUTLASS repo directory as environment variable $CUTLASS_PATH
+ [WARNING]  sparse_attn requires a torch version >= 1.5 and < 2.0 but detected 2.4
+ [WARNING]  using untested triton version (3.0.0), only 1.0.0 is known to be compatible
+
+(deepspeed) root@ubuntu-finetune:~/binbbt/train/pretrain# cat .deepspeed_env 
+CUDA_HOME=/usr/local/cuda/
+TORCH_USE_CUDA_DSA=1
+CUTLASS_PATH=/opt/cutlass
+TORCH_CUDA_ARCH_LIST="80;89;90;90a"
+LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/lib:/usr/local/mpi/lib:/usr/local/mpi/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
+NCCL_DEBUG=WARN
+NCCL_SOCKET_IFNAME=bond0
+NCCL_IB_HCA=mlx5_0:1,mlx5_2:1,mlx5_4:1,mlx5_6:1
+NCCL_IB_GID_INDEX=3
+NCCL_NET_GDR_LEVEL=2
+NCCL_P2P_DISABLE=0
+NCCL_IB_DISABLE=0
+```
+
+## test command
+
+docker run -it --rm --network=host --privileged --ipc=host --ulimit memlock=-1 --gpus all hotwa/notebook:ngc
+docker run --rm -it --gpus all --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 hotwa/notebook:ngc /bin/bash
+
+```shell
+nvidia-smi
+nvcc -V
+ninja --version
+ds_report
+python -c "import torch; print('torch:', torch.__version__, torch)"
+python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
+python -c "import deepspeed; deepspeed.ops.op_builder.CPUAdamBuilder().load()"
+python -c "from flash_attn import flash_attn_func, flash_attn_varlen_func"
+python -c "import apex.amp; print('Apex is installed and the amp module is available.')"
+python -c "from xformers import ops as xops"
+ibstat
+ofed_info  -s # 如果输出显示了 OFED 版本号，则说明 OFED 驱动已安装。
+mst version
+mpirun --version
+```
+
 > **Images hosted on Docker Hub are no longer updated. Please, use [quay.io image](https://quay.io/repository/jupyter/base-notebook)**
 
 [![docker pulls](https://img.shields.io/docker/pulls/jupyter/base-notebook.svg)](https://hub.docker.com/r/jupyter/base-notebook/)