diff --git a/vllm/model_executor/models/qwen2_vl.py b/vllm/model_executor/models/qwen2_vl.py
index 34d5c8ad089a3..e9fce917369b9 100644
--- a/vllm/model_executor/models/qwen2_vl.py
+++ b/vllm/model_executor/models/qwen2_vl.py
@@ -262,7 +262,7 @@ def __init__(
                                       prefix=f"{prefix}.proj")
 
         # Detect attention implementation.
-        self.attn_backend: _Backend = get_vit_attn_backend(support_fa=True)
+        self.attn_backend: _Backend = get_vit_attn_backend()
         if self.attn_backend not in {
                 _Backend.FLASH_ATTN, _Backend.TORCH_SDPA, _Backend.XFORMERS
         }:
diff --git a/vllm/model_executor/models/vision.py b/vllm/model_executor/models/vision.py
index a1395982af44c..e867bc1b13d5c 100644
--- a/vllm/model_executor/models/vision.py
+++ b/vllm/model_executor/models/vision.py
@@ -71,34 +71,34 @@ def get_vision_encoder_info(
     raise NotImplementedError(msg)
 
 
-def get_vit_attn_backend(support_fa: bool = False) -> _Backend:
+def get_vit_attn_backend() -> _Backend:
     """
     Get the available attention backend for Vision Transformer.
     """
-    # TODO(Isotr0py): Remove `support_fa` after support FA for all ViTs attn.
     selected_backend: Optional[_Backend] = get_global_forced_attn_backend()
     if selected_backend is None:
         backend_by_env_var: Optional[str] = envs.VLLM_ATTENTION_BACKEND
         if backend_by_env_var is not None:
             selected_backend = backend_name_to_enum(backend_by_env_var)
     if selected_backend is None:
-        # For Volta and Turing GPUs, use xformers instead.
-        device_available = current_platform.has_device_capability(80)
-        if device_available and support_fa:
-            from transformers.utils import is_flash_attn_2_available
-            if is_flash_attn_2_available():
-                selected_backend = _Backend.FLASH_ATTN
+        if current_platform.is_cuda():
+            if current_platform.has_device_capability(80):
+                from transformers.utils import is_flash_attn_2_available
+                if is_flash_attn_2_available():
+                    selected_backend = _Backend.FLASH_ATTN
+                else:
+                    logger.warning_once(
+                        "Current `vllm-flash-attn` has a bug inside vision "
+                        "module, so we use xformers backend instead. You can "
+                        "run `pip install flash-attn` to use flash-attention "
+                        "backend.")
+                    selected_backend = _Backend.XFORMERS
             else:
-                logger.warning_once(
-                    "Current `vllm-flash-attn` has a bug inside vision module, "
-                    "so we use xformers backend instead. You can run "
-                    "`pip install flash-attn` to use flash-attention backend.")
+                # For Volta and Turing GPUs, use xformers instead.
                 selected_backend = _Backend.XFORMERS
-        elif current_platform.is_cpu() or current_platform.is_rocm():
-            # ROCM doesn't support xformers
-            selected_backend = _Backend.TORCH_SDPA
         else:
-            selected_backend = _Backend.XFORMERS
+            # Default to torch SDPA for CPU, ROCm, and other non-GPU platforms.
+            selected_backend = _Backend.TORCH_SDPA
     return selected_backend