diff --git a/python/sglang/srt/layers/attention/cutlass_mla_backend.py b/python/sglang/srt/layers/attention/cutlass_mla_backend.py
index 8b0923ce3..afa03434c 100644
--- a/python/sglang/srt/layers/attention/cutlass_mla_backend.py
+++ b/python/sglang/srt/layers/attention/cutlass_mla_backend.py
@@ -157,7 +157,7 @@ class CutlassMLABackend(FlashInferMLAAttnBackend):
     ):
         if forward_mode.is_decode_or_idle():
             if spec_info is None:
-                max_seqlen_pad = triton.cdiv(seq_lens.max().item(), PAGE_SIZE)
+                max_seqlen_pad = self.cuda_graph_kv_indices.shape[1]
 
                 create_flashmla_kv_indices_triton[(bs,)](
                     self.req_to_token,
@@ -169,12 +169,6 @@ class CutlassMLABackend(FlashInferMLAAttnBackend):
                     self.cuda_graph_kv_indices.stride(0),
                     PAGE_SIZE,
                 )
-                workspace_size = cutlass_mla_get_workspace_size(
-                    max_seqlen_pad * PAGE_SIZE, bs
-                )
-                self.cuda_graph_mla_workspace = torch.empty(
-                    workspace_size, device="cuda", dtype=torch.uint8
-                )
                 self.forward_metadata = CutlassMLADecodeMetadata(
                     self.cuda_graph_mla_workspace,
                     self.cuda_graph_kv_indices[:bs, :max_seqlen_pad],
@@ -205,8 +199,7 @@ class CutlassMLABackend(FlashInferMLAAttnBackend):
         if forward_mode.is_decode_or_idle():
             assert seq_lens_cpu is not None
             seq_lens = seq_lens[:bs]
-            seq_lens_cpu = seq_lens_cpu[:bs]
-            max_seqlen_pad = triton.cdiv(seq_lens_cpu.max().item(), PAGE_SIZE)
+
             create_flashmla_kv_indices_triton[(bs,)](
                 self.req_to_token,
                 req_pool_indices[:bs],
@@ -217,16 +210,6 @@ class CutlassMLABackend(FlashInferMLAAttnBackend):
                 self.cuda_graph_kv_indices.stride(0),
                 PAGE_SIZE,
             )
-            workspace_size = cutlass_mla_get_workspace_size(
-                max_seqlen_pad * PAGE_SIZE, bs
-            )
-            self.cuda_graph_mla_workspace = torch.empty(
-                workspace_size, device="cuda", dtype=torch.uint8
-            )
-            self.forward_metadata.workspace = self.cuda_graph_mla_workspace
-            self.forward_metadata.block_kv_indices = self.cuda_graph_kv_indices[
-                :bs, :max_seqlen_pad
-            ]
         else:
             super().init_forward_metadata_replay_cuda_graph(
                 bs,