diff --git a/finetune/README.md b/finetune/README.md
index 430d618..50902b8 100644
--- a/finetune/README.md
+++ b/finetune/README.md
@@ -9,4 +9,53 @@ docker-compose -f docker-compose_pytorch2.3.yml build
 
 ```shell
 docker run -it --gpus all --name deepspeed_test --shm-size=1gb --rm hotwa/deepspeed:latest /bin/bash
+```
+
+## [查询GPU 架构 给变量赋值](https://blog.csdn.net/zong596568821xp/article/details/106411024)
+
+```shell
+git clone https://github.com/NVIDIA-AI-IOT/deepstream_tlt_apps.git
+cd deepstream_tlt_apps/TRT-OSS/x86
+nvcc deviceQuery.cpp -o deviceQuery
+./deviceQuery
+```
+
+H100 输出
+
+```shell
+(base) root@node19:~/bgpt/deepstream_tlt_apps/TRT-OSS/x86# ./deviceQuery
+Detected 8 CUDA Capable device(s)
+
+Device 0: "NVIDIA H100 80GB HBM3"
+  CUDA Driver Version / Runtime Version          12.4 / 10.1
+  CUDA Capability Major/Minor version number:    9.0
+
+Device 1: "NVIDIA H100 80GB HBM3"
+  CUDA Driver Version / Runtime Version          12.4 / 10.1
+  CUDA Capability Major/Minor version number:    9.0
+
+Device 2: "NVIDIA H100 80GB HBM3"
+  CUDA Driver Version / Runtime Version          12.4 / 10.1
+  CUDA Capability Major/Minor version number:    9.0
+
+Device 3: "NVIDIA H100 80GB HBM3"
+  CUDA Driver Version / Runtime Version          12.4 / 10.1
+  CUDA Capability Major/Minor version number:    9.0
+
+Device 4: "NVIDIA H100 80GB HBM3"
+  CUDA Driver Version / Runtime Version          12.4 / 10.1
+  CUDA Capability Major/Minor version number:    9.0
+
+Device 5: "NVIDIA H100 80GB HBM3"
+  CUDA Driver Version / Runtime Version          12.4 / 10.1
+  CUDA Capability Major/Minor version number:    9.0
+
+Device 6: "NVIDIA H100 80GB HBM3"
+  CUDA Driver Version / Runtime Version          12.4 / 10.1
+  CUDA Capability Major/Minor version number:    9.0
+
+Device 7: "NVIDIA H100 80GB HBM3"
+  CUDA Driver Version / Runtime Version          12.4 / 10.1
+  CUDA Capability Major/Minor version number:    9.0
+
 ```
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