diff --git a/python/sglang/srt/layers/attention/flashattention_backend.py b/python/sglang/srt/layers/attention/flashattention_backend.py
index 2d4e4b263..50e952e22 100644
--- a/python/sglang/srt/layers/attention/flashattention_backend.py
+++ b/python/sglang/srt/layers/attention/flashattention_backend.py
@@ -1163,6 +1163,8 @@ class FlashAttentionBackend(AttentionBackend):
         This creates fixed-size tensors that will be reused during CUDA graph replay
         to avoid memory allocations.
         """
+        max_num_pages = (self.max_context_len + self.page_size - 1) // self.page_size
+
         # This is being used by normal decode and draft decode when topk == 1
         self.decode_cuda_graph_metadata = {
             "cache_seqlens": torch.zeros(max_bs, dtype=torch.int32, device=self.device),
@@ -1174,13 +1176,7 @@ class FlashAttentionBackend(AttentionBackend):
             ),
             "page_table": torch.zeros(
                 max_bs,
-                (self.max_context_len + self.page_size - 1) // self.page_size,
-                dtype=torch.int32,
-                device=self.device,
-            ),
-            "page_table_draft_decode": torch.zeros(
-                max_bs,
-                (self.max_context_len + self.page_size - 1) // self.page_size,
+                max_num_pages,
                 dtype=torch.int32,
                 device=self.device,
             ),
@@ -1188,7 +1184,6 @@ class FlashAttentionBackend(AttentionBackend):
                 0, self.max_context_len, self.page_size, device=self.device
             ),
         }
-
         # Only allocate local attention buffers if local attention is enabled
         # This prevents OOM errors when local attention is not being used
         if self.attention_chunk_size is not None:
@@ -1274,6 +1269,14 @@ class FlashAttentionBackend(AttentionBackend):
             self.speculative_num_draft_tokens is not None
             and self.speculative_num_draft_tokens > 0
         ):
+            # "page_table_draft_decode" will be set only when spec decoding enabled to save memory
+            self.decode_cuda_graph_metadata["page_table_draft_decode"] = torch.zeros(
+                max_bs,
+                max_num_pages,
+                dtype=torch.int32,
+                device=self.device,
+            )
+
             self.target_verify_metadata = {
                 "cache_seqlens": torch.zeros(
                     max_bs, dtype=torch.int32, device=self.device
@@ -1290,7 +1293,7 @@ class FlashAttentionBackend(AttentionBackend):
                 ),
                 "page_table": torch.zeros(
                     max_bs,
-                    (self.max_context_len + self.page_size - 1) // self.page_size,
+                    max_num_pages,
                     dtype=torch.int32,
                     device=self.device,
                 ),
@@ -1313,7 +1316,7 @@ class FlashAttentionBackend(AttentionBackend):
                 ),
                 "page_table": torch.zeros(
                     max_bs,
-                    (self.max_context_len + self.page_size - 1) // self.page_size,
+                    max_num_pages,
                     dtype=torch.int32,
                     device=self.device,
                 ),