diff --git a/python/sglang/srt/layers/attention/trtllm_mla_backend.py b/python/sglang/srt/layers/attention/trtllm_mla_backend.py
index 408a66257..b8d62c3fa 100755
--- a/python/sglang/srt/layers/attention/trtllm_mla_backend.py
+++ b/python/sglang/srt/layers/attention/trtllm_mla_backend.py
@@ -58,7 +58,6 @@ class TRTLLMMLAPrefillMetadata:
 class TRTLLMMLADecodeMetadata:
     """Metadata for TRTLLM MLA decode operations."""
 
-    workspace: Optional[torch.Tensor] = None
     block_kv_indices: Optional[torch.Tensor] = None
     max_seq_len: Optional[int] = None
 
@@ -187,9 +186,6 @@ class TRTLLMMLABackend(FlashInferMLAAttnBackend):
         self.decode_cuda_graph_kv_indices = torch.full(
             (max_bs, max_blocks_per_seq), -1, dtype=torch.int32, device=self.device
         )
-        self.decode_cuda_graph_workspace = torch.empty(
-            self.workspace_size, dtype=torch.int8, device=self.device
-        )
 
         super().init_cuda_graph_state(max_bs, max_num_tokens, kv_indices_buf)
 
@@ -240,7 +236,6 @@ class TRTLLMMLABackend(FlashInferMLAAttnBackend):
         max_seq_len_val = int(seq_lens.max().item())
 
         metadata = TRTLLMMLADecodeMetadata(
-            self.decode_cuda_graph_workspace,
             block_kv_indices,
             max_seq_len_val,
         )
@@ -339,7 +334,7 @@ class TRTLLMMLABackend(FlashInferMLAAttnBackend):
 
             max_seq_len_val = int(max_seq)
             self.forward_decode_metadata = TRTLLMMLADecodeMetadata(
-                self.workspace_buffer, block_kv_indices, max_seq_len_val
+                block_kv_indices, max_seq_len_val
             )
             forward_batch.decode_trtllm_mla_metadata = self.forward_decode_metadata
         else:
@@ -513,7 +508,7 @@ class TRTLLMMLABackend(FlashInferMLAAttnBackend):
         raw_out = flashinfer.decode.trtllm_batch_decode_with_kv_cache_mla(
             query=query,
             kv_cache=kv_cache,
-            workspace_buffer=metadata.workspace,
+            workspace_buffer=self.workspace_buffer,
             qk_nope_head_dim=self.qk_nope_head_dim,
             kv_lora_rank=self.kv_lora_rank,
             qk_rope_head_dim=self.qk_rope_head_dim,