[Feature] Disallow FlashMLA on Blackwell (#24521)

Signed-off-by: yewentao256 <zhyanwentao@126.com>
Signed-off-by: Wentao Ye <44945378+yewentao256@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

vllm/attention/backends/flashmla.py

@@ -17,6 +17,7 @@ from vllm.attention.backends.mla.common import (MLACommonBackend,
 from vllm.attention.ops.flashmla import (flash_mla_with_kvcache,
                                          get_mla_metadata,
                                          is_flashmla_supported)
+from vllm.platforms.cuda import CudaPlatform
 
 
 class FlashMLABackend(MLACommonBackend):
@@ -181,6 +182,16 @@ class FlashMLAImpl(MLACommonImpl[FlashMLAMetadata]):
         assert is_flashmla_supported(), \
             "FlashMLA is not supported on this device"
 
+        # disallow FlashMLA on NVIDIA Blackwell (SM 10.0+) GPUs
+        # context:
+        # https://github.com/deepseek-ai/FlashMLA/issues/83
+        # https://github.com/vllm-project/vllm/issues/24513
+        if CudaPlatform.has_device_capability(100):
+            raise NotImplementedError(
+                "FlashMLA is temporarily disabled on Blackwell (SM 10.0). "
+                "Please use CUTLASS_MLA or TRITON_MLA instead. "
+                "Example: `export VLLM_ATTENTION_BACKEND=CUTLASS_MLA`")
+
         unsupported_features = [alibi_slopes, sliding_window, logits_soft_cap]
         if any(unsupported_features):
             raise NotImplementedError(

vllm/v1/attention/backends/mla/flashmla.py

@@ -12,6 +12,7 @@ from vllm.attention.ops.flashmla import (flash_mla_with_kvcache,
                                          is_flashmla_supported)
 from vllm.config import VllmConfig
 from vllm.logger import init_logger
+from vllm.platforms.cuda import CudaPlatform
 from vllm.v1.attention.backends.mla.common import (MLACommonBackend,
                                                    MLACommonDecodeMetadata,
                                                    MLACommonImpl,
@@ -158,6 +159,16 @@ class FlashMLAImpl(MLACommonImpl[FlashMLAMetadata]):
         assert is_flashmla_supported(), \
             "FlashMLA is not supported on this device"
 
+        # disallow FlashMLA on NVIDIA Blackwell (SM 10.0+) GPUs
+        # context:
+        # https://github.com/deepseek-ai/FlashMLA/issues/83
+        # https://github.com/vllm-project/vllm/issues/24513
+        if CudaPlatform.has_device_capability(100):
+            raise NotImplementedError(
+                "FlashMLA is temporarily disabled on Blackwell (SM 10.0). "
+                "Please use CUTLASS_MLA or TRITON_MLA instead. "
+                "Example: `export VLLM_ATTENTION_BACKEND=CUTLASS_MLA`")
+
         unsupported_features = [alibi_slopes, sliding_window, logits_soft_cap]
         if any(unsupported_features):
             raise NotImplementedError(