diff --git a/vllm/v1/attention/backends/mla/common.py b/vllm/v1/attention/backends/mla/common.py
index 7a6edc0add8bf..619c1c2794daa 100755
--- a/vllm/v1/attention/backends/mla/common.py
+++ b/vllm/v1/attention/backends/mla/common.py
@@ -355,6 +355,7 @@ class MLACommonPrefillMetadata:
     max_query_len: int
     chunked_context: ChunkedContextMetadata | None = None
     query_seq_lens: torch.Tensor | None = None
+    workspace_buffer: torch.Tensor | None = None
     q_data_type: torch.dtype | None = None
 
 
@@ -986,6 +987,7 @@ class MLACommonMetadataBuilder(AttentionMetadataBuilder[M]):
                 prefill_metadata.query_seq_lens = (
                     prefill_query_start_loc[1:] - prefill_query_start_loc[:-1]
                 )
+                prefill_metadata.workspace_buffer = self._workspace_buffer
 
         decode_metadata = None
         if num_decodes > 0:
@@ -1567,6 +1569,7 @@ class MLACommonImpl(MLACommonBaseImpl[M], Generic[M]):
         from flashinfer.prefill import trtllm_ragged_attention_deepseek
 
         assert prefill.query_seq_lens is not None
+        assert prefill.workspace_buffer is not None
 
         if fp8_attention:
             logger.debug_once("Running TRT-LLM ragged prefill in FP8")
@@ -1579,7 +1582,7 @@ class MLACommonImpl(MLACommonBaseImpl[M], Generic[M]):
             query=q,
             key=k,
             value=v,
-            workspace_buffer=self._workspace_buffer,
+            workspace_buffer=prefill.workspace_buffer,
             seq_lens=prefill.query_seq_lens,
             max_q_len=prefill.max_query_len,
             max_kv_len=prefill.max_query_len,
@@ -1615,6 +1618,7 @@ class MLACommonImpl(MLACommonBaseImpl[M], Generic[M]):
 
         assert prefill.chunked_context is not None
         assert prefill.chunked_context.seq_lens[chunk_idx] is not None
+        assert prefill.workspace_buffer is not None
 
         out = torch.zeros(
             q.shape[0],
@@ -1623,7 +1627,7 @@ class MLACommonImpl(MLACommonBaseImpl[M], Generic[M]):
             device=q.device,
             dtype=q.dtype,
         )
-        self._workspace_buffer.fill_(0)
+        prefill.workspace_buffer.fill_(0)
 
         if fp8_attention:
             logger.debug_once("Running TRT-LLM ragged prefill context chunk in FP8")
@@ -1636,7 +1640,7 @@ class MLACommonImpl(MLACommonBaseImpl[M], Generic[M]):
             query=q,
             key=k,
             value=v,
-            workspace_buffer=self._workspace_buffer,
+            workspace_buffer=prefill.workspace_buffer,
             seq_lens=prefill.chunked_context.seq_lens[chunk_idx],
             max_q_len=prefill.max_query_len,
             max_kv_len=prefill.chunked_context.max_seq_lens[chunk_idx],