diff --git a/test/profiler/test_dynamic_profiler.py b/test/profiler/test_dynamic_profiler.py
index f034ef5f93344956ebbd8e951cda5f149be61d5c..97236876f792bbafeb417088b00063027bb6d6c2 100644
--- a/test/profiler/test_dynamic_profiler.py
+++ b/test/profiler/test_dynamic_profiler.py
@@ -450,7 +450,7 @@ class TestDynamicProfiler(TestCase):
             PathManager.remove_path_safety(self.cfg_prof_dir)
         self.assertTrue(has_prof)
 
-    def test_dynamic_profiler_default(self):
+    def test_dynamic_profiler_default_start(self):
         cfg_json = copy.deepcopy(self.json_sample)
         cfg_json['prof_dir'] = self.default_prof_dir
         cfg_json['start_step'] = TestDynamicProfiler.start_step + 1
@@ -470,6 +470,24 @@ class TestDynamicProfiler(TestCase):
             PathManager.remove_path_safety(self.default_prof_dir)
         self.assertTrue(has_prof)
 
+    def test_dynamic_profiler_default_start_next_step(self):
+        cfg_json = copy.deepcopy(self.json_sample)
+        cfg_json['prof_dir'] = self.default_prof_dir
+        cfg_json['start_step'] = -1
+        with os.fdopen(os.open(self.cfg_path, self.flags, self.mode), 'w') as f:
+            time.sleep(1)
+            json.dump(cfg_json, f, indent=4)
+        time.sleep(3)
+        dp.step()
+        TestDynamicProfiler.start_step += 1
+        self.model_train.train_one_step()
+        dp.step()
+        TestDynamicProfiler.start_step += 1
+        has_prof = self.has_prof_dir(self.default_prof_dir)
+        if os.path.exists(self.default_prof_dir):
+            PathManager.remove_path_safety(self.default_prof_dir)
+        self.assertTrue(has_prof)
+
     def test_dynamic_profiler_rank(self):
         cfg_json = copy.deepcopy(self.json_sample)
         cfg_json['prof_dir'] = self.rank_prof_dir
diff --git a/torch_npu/profiler/_dynamic_profiler/_dynamic_profiler_config_context.py b/torch_npu/profiler/_dynamic_profiler/_dynamic_profiler_config_context.py
index 0c5ab8c8263141451f9099c689f943f96b36cd53..8fbe112a79a047800e39040b6c75c7a957cfbb74 100644
--- a/torch_npu/profiler/_dynamic_profiler/_dynamic_profiler_config_context.py
+++ b/torch_npu/profiler/_dynamic_profiler/_dynamic_profiler_config_context.py
@@ -7,6 +7,7 @@ from ._dynamic_profiler_utils import DynamicProfilerUtils
 class ConfigContext:
     DEFAULT_ACTIVE_NUM = 1
     DEFAULT_START_STEP = 0
+    INSTANT_START_STEP = -1
     DEFAULT_WARMUP = 0
     DEADLINE_PROF_DIR = "./"
     BOOL_MAP = {'true': True, 'false': False}
@@ -65,7 +66,7 @@ class ConfigContext:
             except ValueError:
                 self._start_step = self.DEFAULT_START_STEP
 
-        if not isinstance(self._start_step, int) or self._start_step < 0:
+        if not isinstance(self._start_step, int) or self._start_step < self.INSTANT_START_STEP:
             DynamicProfilerUtils.out_log("Start step is not valid, will be reset to {}.".format(
                 self.DEFAULT_START_STEP), DynamicProfilerUtils.LoggerLevelEnum.INFO)
             self._start_step = self.DEFAULT_START_STEP
@@ -348,6 +349,9 @@ class ConfigContext:
     def start_step(self) -> int:
         return self._start_step
 
+    def start(self) -> bool:
+        return self._start_step == self.INSTANT_START_STEP
+
     def experimental_config(self) -> _ExperimentalConfig:
         return self.experimental_config
 
diff --git a/torch_npu/profiler/dynamic_profile.py b/torch_npu/profiler/dynamic_profile.py
index e262fa2fa07e04a5ea4d694ced342e6945aa5411..645ebfc9cf5d85005efca79513493d2407e79492 100644
--- a/torch_npu/profiler/dynamic_profile.py
+++ b/torch_npu/profiler/dynamic_profile.py
@@ -92,10 +92,10 @@ class _DynamicProfile:
                 DynamicProfilerUtils.out_log("Stop Dynamic Profiler at {} step.".format(
                     self.cur_step), DynamicProfilerUtils.LoggerLevelEnum.INFO)
         elif self.prof is None and self.cfg_ctx is not None:
-            if self.cur_step > self.cfg_ctx.start_step():
+            if self.cur_step > self.cfg_ctx.start_step() and not self.cfg_ctx.start():
                 print_warn_msg(f"Dynamic Profiler config is not effective. The start_step={self.cfg_ctx.start_step()}, "
                                f"current_step={self.cur_step}")
-            if self.cur_step == self.cfg_ctx.start_step():
+            if self.cur_step == self.cfg_ctx.start_step() or self.cfg_ctx.start():
                 self.step_num = self.cfg_ctx.active() + self.cfg_ctx.warmup()
                 self.enable_prof()
                 self.cfg_ctx = None