diff --git a/vllm_gaudi/v1/worker/hpu_model_runner.py b/vllm_gaudi/v1/worker/hpu_model_runner.py
index caafb5e0b0..f67132a837 100644
--- a/vllm_gaudi/v1/worker/hpu_model_runner.py
+++ b/vllm_gaudi/v1/worker/hpu_model_runner.py
@@ -3830,20 +3830,20 @@ def execute_model(
         return None
 
     def set_attn_bias(self, attn_metadata, batch_size, seq_len, device, dtype):
-        if attn_metadata is None or not attn_metadata.is_prompt:
+        if (attn_metadata is None
+                or (self.prefill_use_fusedsdpa and self.is_causal and attn_metadata.block_list is None)
+                or not attn_metadata.is_prompt):
             return attn_metadata
 
-        # FusedSDPA can handle a purely causal mask natively via
-        # is_causal=True + valid_seq_lengths, including chunked prefill where
-        # block_list is non-None. Skipping the materialised
-        # [bs, 1, q_len, total_kv_len] attn_bias avoids a large add_bf16 on the
-        # attention critical path (significant at long context). The original
-        # short-circuit only covered block_list is None; extend it to all
-        # plain-causal cases (no sliding-window / no chunked-attention / no
-        # alibi / not pooling).
-        # Conservative scope: only non-GDN hybrid models (e.g. Granite-4
-        # Mamba2+Transformer). GDN / pure-transformer / other topologies keep
-        # the materialised bias path until validated.
+        # Extended FSDPA-native causal short-circuit for non-GDN hybrid models
+        # (e.g. Granite-4 Mamba2+Transformer). FusedSDPA can encode a purely
+        # causal mask natively via is_causal=True + valid_seq_lengths, including
+        # chunked prefill where block_list is non-None. Skipping the
+        # materialised [bs, 1, q_len, total_kv_len] attn_bias avoids a large
+        # add_bf16 on the attention critical path (significant at long
+        # context). Conservative scope: only non-GDN hybrid models; GDN /
+        # pure-transformer / other topologies keep the materialised bias path
+        # until validated.
         if (self.prefill_use_fusedsdpa and self.is_causal and not self.is_pooling_model
                 and not getattr(self, 'sliding_window', None)
                 and not getattr(self, 'model_has_chunked_attention', False)
@@ -6689,18 +6689,21 @@ def _set_attn_bias(self, attn_metadata: HPUAttentionMetadataV1, batch_size: int,
         Returns:
             Updated attention metadata with attn_bias set
         """
-        if attn_metadata is None or not attn_metadata.is_prompt:
+        if (attn_metadata is None or (self.prefill_use_fusedsdpa and attn_metadata.block_list is None)
+                or not attn_metadata.is_prompt):
             return attn_metadata
 
-        # FusedSDPA handles a purely causal mask natively (is_causal=True +
-        # valid_seq_lengths). Skip materialising a [bs, 1, q_len,
-        # total_kv_len] attn_bias when the model is plain-causal (no
-        # sliding-window / chunked-attention). This removes a sizable
-        # add_bf16 from the attention critical path during long-context
-        # chunked prefill. interleaved_sliding_window and chunked-attention
-        # bias paths (window_attn_bias / chunked_attn_bias) are populated
-        # later in process_metadata and used by hpu_attn instead.
-        # Conservative scope: only non-GDN hybrid models (e.g. Granite-4).
+        # Extended FSDPA-native causal short-circuit for non-GDN hybrid models
+        # (e.g. Granite-4 Mamba2+Transformer). FusedSDPA handles a purely
+        # causal mask natively (is_causal=True + valid_seq_lengths). Skip
+        # materialising a [bs, 1, q_len, total_kv_len] attn_bias even during
+        # chunked prefill (block_list is non-None) for these topologies; this
+        # removes a sizable add_bf16 from the attention critical path during
+        # long-context chunked prefill. interleaved_sliding_window and
+        # chunked-attention bias paths (window_attn_bias / chunked_attn_bias)
+        # are populated later in process_metadata and used by hpu_attn
+        # instead. Conservative scope: only non-GDN hybrid models; all other
+        # topologies retain the original behaviour.
         if (self.prefill_use_fusedsdpa and not self.interleaved_sliding_window and self.is_non_gdn_hybrid):
             return attn_metadata