diff --git a/vllm/attention/backends/hpu_attn.py b/vllm/attention/backends/hpu_attn.py
index 97410360e4c61..248aafaf1266c 100644
--- a/vllm/attention/backends/hpu_attn.py
+++ b/vllm/attention/backends/hpu_attn.py
@@ -7,7 +7,8 @@
 
 import torch
 import vllm_hpu_extension.ops as ops
-from vllm_hpu_extension.utils import Matmul, Softmax, VLLMKVCache
+from vllm_hpu_extension.utils import (Matmul, Softmax, VLLMKVCache, 
+                                      ModuleFusedSDPA)
 
 from vllm.attention.backends.abstract import (AttentionBackend, AttentionImpl,
                                               AttentionMetadata, AttentionType)
@@ -18,6 +19,14 @@
 
 logger = init_logger(__name__)
 
+HPUFusedSDPA = None
+try:
+    from habana_frameworks.torch.hpex.kernels import FusedSDPA
+    HPUFusedSDPA = FusedSDPA
+except ImportError:
+    logger.warning("Could not import HPU FusedSDPA kernel. "
+                   "vLLM will use native implementation.")
+
 
 class HPUAttentionBackend(AttentionBackend):
 
@@ -115,6 +124,8 @@ def __init__(
         self.block2batch_matmul = Matmul()
         self.k_cache = VLLMKVCache()
         self.v_cache = VLLMKVCache()
+        self.fused_scaled_dot_product_attention = None if HPUFusedSDPA is None \
+            else ModuleFusedSDPA(HPUFusedSDPA)
         self.num_kv_heads = num_heads if num_kv_heads is None else num_kv_heads
         self.sliding_window = sliding_window
         self.alibi_slopes = alibi_slopes
@@ -210,6 +221,7 @@ def forward(
                     softmax_op=self.softmax,
                     matmul_av_op=self.matmul_av,
                     valid_seq_lengths=attn_metadata.seq_lens_tensor,
+                    fsdpa_op=self.fused_scaled_dot_product_attention,
                 )
             else:
                 # TODO: enable FusedSDPA