diff --git a/fastdeploy/config.py b/fastdeploy/config.py
index 24b26161a47..cc9eec47ca9 100644
--- a/fastdeploy/config.py
+++ b/fastdeploy/config.py
@@ -1488,14 +1488,17 @@ class RoutingReplayConfig:
     """Configuration for Routing Replay used in RL training"""
 
     def __init__(self, args) -> None:
+
         self.enable_routing_replay: bool = False
+
+        # Routing store type: local/rdma
         self.routing_store_type: str = "local"
 
         # Local routing store
         self.local_store_dir: str = "./routing_replay_output"
 
         # RDMA routing store
-        # TODO: Add RDMA routing store configuration attributes here when the feature is implemented.
+        self.rdma_store_server: str = ""
 
         if args is not None:
             for key, value in args.items():
@@ -1688,7 +1691,9 @@ def postprocess(self):
         self.cache_config.postprocess(self.scheduler_config.max_num_batched_tokens, self.scheduler_config.max_num_seqs)
         if self.model_config is not None and self.model_config.enable_mm and not envs.ENABLE_V1_KVCACHE_SCHEDULER:
             self.cache_config.enable_prefix_caching = False
-
+        if self.routing_replay_config is not None and self.routing_replay_config.enable_routing_replay:
+            # TODO(gongshaotian): R3 support prefix caching
+            self.cache_config.enable_prefix_caching = False
         if (
             self.structured_outputs_config is not None
             and self.structured_outputs_config.guided_decoding_backend != "off"
diff --git a/fastdeploy/model_executor/layers/moe/routing_indices_cache.py b/fastdeploy/model_executor/layers/moe/routing_indices_cache.py
index e95a3d8569f..ad633207fad 100644
--- a/fastdeploy/model_executor/layers/moe/routing_indices_cache.py
+++ b/fastdeploy/model_executor/layers/moe/routing_indices_cache.py
@@ -14,6 +14,7 @@
 # limitations under the License.
 """
 
+import asyncio
 import copy
 import os
 import shutil
@@ -330,8 +331,49 @@ def clear_store(self):
 class RoutingStoreRDMA(RoutingStoreBase):
     """Routing Store using RDMA"""
 
-    def __init__(self) -> None:
-        super().__init__()
+    def __init__(self, fd_config) -> None:
+        super().__init__(fd_config=fd_config)
+        try:
+            # Only used in RLHF
+            from p2pstore import P2PClient, P2PConfig
+        except ModuleNotFoundError:
+            raise ModuleNotFoundError(" RoutingStoreRDMA and p2pstore only support in RLHF. ")
+
+        rdma_store_server = fd_config.routing_replay_config.rdma_store_server
+        p2pConfig = P2PConfig(metadata_server=rdma_store_server)
+        self.p2p_client = P2PClient(p2pConfig)
+
+    def put(self, routing_indices: paddle.Tensor, rollout_id: str, layer_idx: int) -> None:
+        """Put the routing indices into store"""
+        rdma_rollout_key = f"{rollout_id}_{layer_idx}"
+        # sync put
+        asyncio.run(self.p2p_client.put(rdma_rollout_key, routing_indices))
+
+    def get(
+        self,
+        rollout_id: str,
+        layer_idx: int = None,
+    ) -> paddle.Tensor:
+        """Get the routing indices from store"""
+        rdma_rollout_key = f"{rollout_id}_{layer_idx}"
+        # sync get
+        tmp_routing = asyncio.run(self.p2p_client.get(rdma_rollout_key))
+        return tmp_routing
+
+    def clear(
+        self,
+        rollout_id: str,
+        layer_idx: int = None,
+    ) -> None:
+        """Clear the routing indices of the request"""
+        rdma_rollout_key = f"{rollout_id}_{layer_idx}"
+        # sync delete
+        asyncio.run(self.p2p_client.delete(rdma_rollout_key))
+
+    def clear_store(self):
+        """Clear the routing indices store"""
+        # sync clear routing store
+        asyncio.run(self.p2p_client.clear())
 
 
 def get_routing_store(fd_config: FDConfig) -> RoutingStoreBase: