diff --git a/vllm/distributed/eplb/async_worker.py b/vllm/distributed/eplb/async_worker.py
index 2648ada89abc9..b2a58ded19edb 100644
--- a/vllm/distributed/eplb/async_worker.py
+++ b/vllm/distributed/eplb/async_worker.py
@@ -109,12 +109,12 @@ async def transfer_run_periodically(
         for model_state in state.model_states.values():
             if not model_state.is_async_enabled:
                 continue
-            if not model_state.new_indices_computed:
-                run_rebalance_experts(model_state, state)
-                logger.info(
-                    "Async worker computed new indices for model %s",
-                    model_state.model_name,
-                )
+            # Rebalance experts is done once, only when the async worker wakes up.
+            run_rebalance_experts(model_state, state)
+            logger.info(
+                "Async worker computed new indices for model %s",
+                model_state.model_name,
+            )
 
             current_num_layers = model_state.model.num_moe_layers
             while (
diff --git a/vllm/distributed/eplb/eplb_state.py b/vllm/distributed/eplb/eplb_state.py
index ef5e58706722c..43c0bbdd72e44 100644
--- a/vllm/distributed/eplb/eplb_state.py
+++ b/vllm/distributed/eplb/eplb_state.py
@@ -197,10 +197,6 @@ class EplbModelState:
     """
     Whether the async EPLB needs to poll peers for buffer readiness.
     """
-    new_indices_computed: bool
-    """
-    The flag indicates whether the new indices have been computed.
-    """
     eplb_stats: EplbStats | None
     """
     EPLB stats for the model.
@@ -547,7 +543,6 @@ class EplbState:
             layer_to_transfer=0,
             rebalanced=False,
             pending_global_ready_check=False,
-            new_indices_computed=False,
             eplb_stats=None,
             is_unchanged=np.array([]),
             is_received_locally=np.array([]),
@@ -928,7 +923,6 @@ class EplbState:
                 eplb_model_state.rebalanced = True
                 eplb_model_state.layer_to_transfer = 0
                 eplb_model_state.pending_global_ready_check = True
-                eplb_model_state.new_indices_computed = False
         # Signal async thread to start transferring layers
         if self.is_async and (not is_profile):
             self.rearrange_event.set()