diff --git a/airflow-core/src/airflow/models/taskinstance.py b/airflow-core/src/airflow/models/taskinstance.py
index 8517827de3664..574531cc3c903 100644
--- a/airflow-core/src/airflow/models/taskinstance.py
+++ b/airflow-core/src/airflow/models/taskinstance.py
@@ -2379,6 +2379,7 @@ def next_retry_datetime(self):
         """
         from airflow.models.abstractoperator import MAX_RETRY_DELAY
 
+        max_try_number = 500
         delay = self.task.retry_delay
         if self.task.retry_exponential_backoff:
             # If the min_backoff calculation is below 1, it will be converted to 0 via int. Thus,
@@ -2386,7 +2387,10 @@ def next_retry_datetime(self):
             # will occur in the modded_hash calculation.
             # this probably gives unexpected results if a task instance has previously been cleared,
             # because try_number can increase without bound
-            min_backoff = math.ceil(delay.total_seconds() * (2 ** (self.try_number - 1)))
+            if self.try_number < max_try_number:
+                min_backoff = math.ceil(delay.total_seconds() * (2 ** (self.try_number - 1)))
+            else:
+                min_backoff = math.ceil(delay.total_seconds() * (2 ** (max_try_number - 1)))
 
             # In the case when delay.total_seconds() is 0, min_backoff will not be rounded up to 1.
             # To address this, we impose a lower bound of 1 on min_backoff. This effectively makes