diff --git a/vllm/config.py b/vllm/config.py
index 108badf150c86..356e0aabdf233 100644
--- a/vllm/config.py
+++ b/vllm/config.py
@@ -372,9 +372,9 @@ def verify_async_output_proc(self, parallel_config, speculative_config,
             self.use_async_output_proc = False
             return
 
-        if device_config.device_type not in ("cuda", "tpu"):
+        if device_config.device_type not in ("cuda", "tpu", "xpu"):
             logger.warning(
-                "Async output processing is only supported for CUDA or TPU. "
+                "Async output processing is only supported for CUDA, TPU, XPU. "
                 "Disabling it for other platforms.")
             self.use_async_output_proc = False
             return
diff --git a/vllm/worker/xpu_model_runner.py b/vllm/worker/xpu_model_runner.py
index d3c763c995b34..a54422233f035 100644
--- a/vllm/worker/xpu_model_runner.py
+++ b/vllm/worker/xpu_model_runner.py
@@ -2,8 +2,8 @@
 import time
 import weakref
 from dataclasses import dataclass
-from typing import (TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Type,
-                    TypeVar)
+from typing import (TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple,
+                    Type, TypeVar)
 
 import torch
 import torch.nn as nn
@@ -56,6 +56,7 @@ class ModelInputForXPU(ModelRunnerInputBase):
     virtual_engine: Optional[int] = None
     seq_lens: Optional[List[int]] = None
     query_lens: Optional[List[int]] = None
+    async_callback: Optional[Callable] = None
 
     def as_broadcastable_tensor_dict(self) -> Dict[str, Any]:
         tensor_dict = {
@@ -570,6 +571,9 @@ def execute_model(
         if not self.is_driver_worker:
             return []
 
+        if model_input.async_callback is not None:
+            model_input.async_callback()
+
         # Sample the next token.
         output: SamplerOutput = self.model.sample(
             logits=logits,