diff --git a/fastdeploy/entrypoints/openai/api_server.py b/fastdeploy/entrypoints/openai/api_server.py
index 493431041..94f01b8ba 100644
--- a/fastdeploy/entrypoints/openai/api_server.py
+++ b/fastdeploy/entrypoints/openai/api_server.py
@@ -61,6 +61,9 @@ from fastdeploy.entrypoints.openai.tool_parsers import ToolParserManager
 from fastdeploy.entrypoints.openai.utils import UVICORN_CONFIG, make_arg_parser
 from fastdeploy.envs import environment_variables
 from fastdeploy.metrics.metrics import get_filtered_metrics
+from filelock import FileLock
+
+from fastdeploy.inter_communicator import IPCSignal, shared_memory_exists
 from fastdeploy.utils import (
     ExceptionHandler,
     FlexibleArgumentParser,
@@ -85,6 +88,26 @@ if args.tool_parser_plugin:
 llm_engine = None
 
 MAX_CONCURRENT_CONNECTIONS = args.max_concurrency
+
+# Use shared memory for concurrency control across multiple workers
+# Create or connect to a shared counter that tracks active connections globally
+import numpy as np
+_shm_name = f"fd_api_server_connections_{args.port}"
+_create_shm = not shared_memory_exists(_shm_name)
+connection_counter_shm = IPCSignal(
+    name=_shm_name,
+    array=np.array([0], dtype=np.int32) if _create_shm else None,
+    dtype=np.int32 if _create_shm else None,
+    create=_create_shm,
+    shm_size=4 if not _create_shm else None,
+)
+if not _create_shm:
+    # Attach to existing shared memory
+    connection_counter_shm.value = np.ndarray((1,), dtype=np.int32, buffer=connection_counter_shm.shm.buf)
+
+# File-based lock for atomic operations on the shared counter
+connection_counter_lock = FileLock(f"/tmp/fd_api_server_conn_lock_{args.port}.lock")
+
 connection_semaphore = StatefulSemaphore(MAX_CONCURRENT_CONNECTIONS)
 
 
@@ -257,16 +280,28 @@ if tokens := [key for key in (args.api_key or env_tokens) if key]:
 @asynccontextmanager
 async def connection_manager():
     """
-    async context manager for connection manager
+    async context manager for connection manager using shared memory for global concurrency control across workers
     """
+    # Atomically increment and check the shared counter using file lock
+    with connection_counter_lock:
+        current_count = connection_counter_shm.value[0]
+        if current_count >= MAX_CONCURRENT_CONNECTIONS:
+            api_server_logger.info(
+                f"Reach max request concurrency: {current_count}/{MAX_CONCURRENT_CONNECTIONS}"
+            )
+            raise HTTPException(
+                status_code=429, 
+                detail=f"Too many requests, current max concurrency is {args.max_concurrency}"
+            )
+        # Increment the counter
+        connection_counter_shm.value[0] = current_count + 1
+    
     try:
-        await asyncio.wait_for(connection_semaphore.acquire(), timeout=0.001)
         yield
-    except asyncio.TimeoutError:
-        api_server_logger.info(f"Reach max request concurrency, semaphore status: {connection_semaphore.status()}")
-        raise HTTPException(
-            status_code=429, detail=f"Too many requests,current max concurrency is {args.max_concurrency}"
-        )
+    finally:
+        # Decrement the counter on exit
+        with connection_counter_lock:
+            connection_counter_shm.value[0] -= 1
 
 
 # TODO 传递真实引擎值 通过pid 获取状态