diff --git a/tests/compile/test_fusion_attn.py b/tests/compile/test_fusion_attn.py
index 33d61c5f1d16..6baf4bf83f49 100644
--- a/tests/compile/test_fusion_attn.py
+++ b/tests/compile/test_fusion_attn.py
@@ -40,13 +40,12 @@
 @pytest.mark.parametrize(
     "model, quant_key",
     [("amd/Llama-3.1-8B-Instruct-FP8-KV", kFp8StaticTensorSym)])
-@pytest.mark.parametrize(
-    "use_triton_fa", [True, False] if current_platform.is_rocm() else [False])
+@pytest.mark.parametrize("use_triton_fa", [True, False])
 @pytest.mark.skipif(not current_platform.supports_fp8(), reason="Need FP8")
-@pytest.mark.skipif(not current_platform.is_cuda_alike(),
-                    reason="Only test CUDA and ROCm")
-def test_attention_fusion(example_prompts, monkeypatch, model: str,
-                          quant_key: QuantKey, use_triton_fa: bool):
+@pytest.mark.skipif(not current_platform.is_rocm(),
+                    reason="V0 attn quant fusion only on ROCm")
+def test_attention_fusion_v0(example_prompts, monkeypatch, model: str,
+                             quant_key: QuantKey, use_triton_fa: bool):
     # Clean Dynamo cache to avoid reusing other test cases
     # (for some reason the reset at the end is not enough)
     torch._dynamo.reset()