diff --git a/profiler/cluster_analyse/README.md b/profiler/cluster_analyse/README.md
index 6352130c03aa215f13ba6fd972e75c5753613374..8981ac45304149f5b19d47665064952555be28c1 100644
--- a/profiler/cluster_analyse/README.md
+++ b/profiler/cluster_analyse/README.md
@@ -92,4 +92,4 @@ K列：Communication（Not Overlapped and Exclude Receive）指剔除recieve算
 
 - "LOCAL"是片内拷贝，速率非常快，不需要考虑。
 - “HCCS”或“PCIE”是节点内片间拷贝，速度在18GB左右或以上比较正常。
-- “RDMA”是节点间拷贝，910A速度在12GB左右或以上；910B速度在23-25GB左右比较正常。
+- “RDMA”是节点间拷贝，910A速度在12GB左右或以上。
diff --git a/profiler/cluster_analyse/cluster_kernels_analysis/cluster_prof_Info_analysis.py b/profiler/cluster_analyse/cluster_kernels_analysis/cluster_prof_Info_analysis.py
index 3b2b05676d8d0f9f94fcc5f5ddd1fb9061e40f5a..88ff0dd3fc79ffa3044ee3919b217a05f0e93695 100644
--- a/profiler/cluster_analyse/cluster_kernels_analysis/cluster_prof_Info_analysis.py
+++ b/profiler/cluster_analyse/cluster_kernels_analysis/cluster_prof_Info_analysis.py
@@ -64,7 +64,7 @@ class FormDataProcessor:
         file = self.files[0]
         df = pd.read_csv(file)
         if 'aiv_time(us)' in df.columns:
-            return "ASCEND_910B"
+            return "ASCEND_NEW"
         return "ASCEND_OTHER"
 
     def getDeviceId(self, dir_path):
@@ -89,7 +89,7 @@ class ViewInfoManager:
     def setOpSummaryColumnsParams(self):
         # 有些数据除了用表格的列进行分组之外，还添加了其他属性对数据进行分类，这部分数据放在extend_attr_to_group里面
         self.op_summary_columns_dict = {
-            'ASCEND_910B': {
+            'ASCEND_NEW': {
                 'TimeToCsvAnalyzer':
                     {'columns_to_group': ["Op Name", "Input Shapes", "Input Data Types", "Output Shapes"],
                      'extend_attr_to_group': ["device_id", "node_id"],