@@ -87,6 +87,8 @@ def create_managed_memory_resource_or_skip(*args, xfail_device=None, **kwargs):
         return ManagedMemoryResource(*args, **kwargs)
     except CUDAError as e:
         xfail_if_mempool_oom(e, _device_id_from_resource_options(xfail_device, args, kwargs))
+        if "CUDA_ERROR_NOT_SUPPORTED" in str(e):
+            pytest.skip("ManagedMemoryResource is not supported on this platform/device")
         raise
     except RuntimeError as e:
         if "requires CUDA 13.0" in str(e):
 
@@ -13,7 +13,7 @@
 import pytest
 
 import cuda.bindings
-from conftest import xfail_if_mempool_oom
+from conftest import create_managed_memory_resource_or_skip, xfail_if_mempool_oom
 from cuda.core import Device, ManagedMemoryResource, ManagedMemoryResourceOptions
 from cuda.core._memory._managed_memory_resource import reset_concurrent_access_warning
 from cuda.core._utils.cuda_utils import CUDAError
@@ -28,7 +28,10 @@
 
 def _make_managed_mr(device_id):
     """Create a ManagedMemoryResource with an explicit device preference."""
-    return ManagedMemoryResource(options=ManagedMemoryResourceOptions(preferred_location=device_id))
+    return create_managed_memory_resource_or_skip(
+        options=ManagedMemoryResourceOptions(preferred_location=device_id),
+        xfail_device=device_id,
+    )
 
 
 @pytest.fixture