diff --git a/python/sglang/srt/disaggregation/encode_server.py b/python/sglang/srt/disaggregation/encode_server.py
index 6583b64a3..47727465c 100644
--- a/python/sglang/srt/disaggregation/encode_server.py
+++ b/python/sglang/srt/disaggregation/encode_server.py
@@ -40,6 +40,7 @@ from sglang.srt.server_args import (
     set_global_server_args_for_scheduler,
 )
 from sglang.srt.utils import (
+    config_socket,
     get_local_ip_auto,
     get_zmq_socket,
     load_audio,
@@ -186,6 +187,8 @@ class MMEncoder:
         )
 
         self.context = zmq.asyncio.Context(2)
+        self.sync_context = zmq.Context()  # Reuse sync context for thread pool
+        self.executor = concurrent.futures.ThreadPoolExecutor(max_workers=10)
 
         embedding_cache_size = int(os.environ.get("SGLANG_VLM_CACHE_SIZE_MB", "4096"))
         self.mm_cache = MultiModalStaticCache(embedding_cache_size * 1024 * 1024)
@@ -389,25 +392,35 @@ class MMEncoder:
             else f"tcp://{prefill_host}:{embedding_port}"
         )
         logger.info(f"{endpoint = }")
-        socket = get_zmq_socket(
-            self.context,
-            zmq.PUSH,
-            endpoint,
-            False,
-        )
 
+        # Serialize data
         if self.server_args.encoder_transfer_backend == "mooncake":
-            socket.send_multipart([pickle.dumps(mm_data)])
+            serialized_data = pickle.dumps(mm_data)
+            buffer = None
         else:
             new_mm_data = mm_data.copy_without_embedding()
             if new_mm_data.error_msg is not None:
-                socket.send_multipart([pickle.dumps(new_mm_data)])
-                return
+                buffer = None
+                serialized_data = pickle.dumps(new_mm_data)
+            else:
+                embedding_tensor = TensorWrapper(mm_data.embedding)
+                serialized_data = pickle.dumps(new_mm_data)
+                buffer = embedding_tensor.__buffer__()
 
-            embedding_tensor = TensorWrapper(mm_data.embedding)
-            socket.send_multipart(
-                [pickle.dumps(new_mm_data), embedding_tensor.__buffer__()]
-            )
+        # Use thread pool executor for parallel ZMQ send operations
+        def send_with_socket():
+            sock = self.sync_context.socket(zmq.PUSH)
+            config_socket(sock, zmq.PUSH)
+            try:
+                sock.connect(endpoint)
+                if buffer is not None:
+                    sock.send_multipart([serialized_data, buffer], copy=False)
+                else:
+                    sock.send_multipart([serialized_data], copy=False)
+            finally:
+                sock.close()
+
+        await asyncio.get_event_loop().run_in_executor(self.executor, send_with_socket)
 
     async def encode(self, mm_items, req_id, num_parts, part_idx):
         try: