diff --git a/cpp/tensorrt_llm/common/attentionOp.cpp b/cpp/tensorrt_llm/common/attentionOp.cpp
index 19d0de71fd1..f4ae2073216 100644
--- a/cpp/tensorrt_llm/common/attentionOp.cpp
+++ b/cpp/tensorrt_llm/common/attentionOp.cpp
@@ -778,8 +778,19 @@ size_t AttentionOp::getWorkspaceSizeForContext(nvinfer1::DataType type, int32_t
     if (mEnableContextFMHA && mFP8ContextMLA && mFmhaDispatcher->isSeparateQAndKvInput())
     {
         fp8_q_buf_size = max_num_tokens * static_cast<size_t>(total_q_dim_all_heads);
-        fp8_k_buf_size = mChunkPrefillBufferBatchSize * max_num_tokens * static_cast<size_t>(total_k_dim_all_heads);
-        fp8_v_buf_size = mChunkPrefillBufferBatchSize * max_num_tokens * static_cast<size_t>(total_v_dim_all_heads);
+
+        if (useSparseMLA())
+        {
+            // Sparse MLA (absorption mode): K and V are stored directly in KV cache during MLA RoPE kernel.
+            // No separate FP8 buffers needed for K/V since they're read from paged KV cache (Q_PAGED_KV layout).
+            fp8_k_buf_size = 0;
+            fp8_v_buf_size = 0;
+        }
+        else
+        {
+            fp8_k_buf_size = mChunkPrefillBufferBatchSize * max_num_tokens * static_cast<size_t>(total_k_dim_all_heads);
+            fp8_v_buf_size = mChunkPrefillBufferBatchSize * max_num_tokens * static_cast<size_t>(total_v_dim_all_heads);
+        }
     }
 
     size_t const padding_offset_size = mEnableContextFMHA ? 0 : sizeof(int) * max_num_tokens;
@@ -1436,8 +1447,19 @@ int AttentionOp::enqueueContext(EnqueueContextParams<T> const& params, cudaStrea
     if (mEnableContextFMHA && mFP8ContextMLA && mFmhaDispatcher->isSeparateQAndKvInput())
     {
         fp8_q_buf_size = params.num_tokens * static_cast<size_t>(total_q_dim_all_heads);
-        fp8_k_buf_size = params.total_kv_len * static_cast<size_t>(total_k_dim_all_heads);
-        fp8_v_buf_size = params.total_kv_len * static_cast<size_t>(total_v_dim_all_heads);
+
+        if (useSparseMLA())
+        {
+            // Sparse MLA (absorption mode): K and V are stored directly in KV cache during MLA RoPE kernel.
+            // No separate FP8 buffers needed for K/V since they're read from paged KV cache (Q_PAGED_KV layout).
+            fp8_k_buf_size = 0;
+            fp8_v_buf_size = 0;
+        }
+        else
+        {
+            fp8_k_buf_size = params.total_kv_len * static_cast<size_t>(total_k_dim_all_heads);
+            fp8_v_buf_size = params.total_kv_len * static_cast<size_t>(total_v_dim_all_heads);
+        }
     }
     size_t const padding_offset_size
         = mEnableContextFMHA ? 0 : sizeof(int) * params.batch_size * params.input_seq_length;
@@ -1805,11 +1827,15 @@ int AttentionOp::enqueueContext(EnqueueContextParams<T> const& params, cudaStrea
                 TLLM_CHECK_WITH_INFO(
                     mFmhaDispatcher->isSeparateQAndKvInput(), "Separate QKV input is required for fp8 context MLA");
                 TLLM_CHECK_WITH_INFO(fp8_q_buf != nullptr, "FP8 q buffer is required for fp8 context MLA");
-                TLLM_CHECK_WITH_INFO(fp8_k_buf != nullptr, "FP8 k buffer is required for fp8 context MLA");
-                TLLM_CHECK_WITH_INFO(fp8_v_buf != nullptr, "FP8 v buffer is required for fp8 context MLA");
+                // In sparse MLA (absorption mode), K and V are stored in KV cache, not as separate FP8 buffers
+                TLLM_CHECK_WITH_INFO(useSparseMLA() || fp8_k_buf != nullptr,
+                    "FP8 k buffer is required for fp8 context MLA in non-sparse mode");
+                TLLM_CHECK_WITH_INFO(useSparseMLA() || fp8_v_buf != nullptr,
+                    "FP8 v buffer is required for fp8 context MLA in non-sparse mode");
+
                 fmhaParams.qPtr = reinterpret_cast<void const*>(fp8_q_buf);
-                fmhaParams.kPtr = reinterpret_cast<void const*>(fp8_k_buf);
-                fmhaParams.vPtr = reinterpret_cast<void const*>(fp8_v_buf);
+                fmhaParams.kPtr = useSparseMLA() ? nullptr : reinterpret_cast<void const*>(fp8_k_buf);
+                fmhaParams.vPtr = useSparseMLA() ? nullptr : reinterpret_cast<void const*>(fp8_v_buf);
             }
             else
             {