diff --git a/tests/integration/inference/test_rerank.py b/tests/integration/inference/test_rerank.py
index ea17a54cb..4931c3d6c 100644
--- a/tests/integration/inference/test_rerank.py
+++ b/tests/integration/inference/test_rerank.py
@@ -26,10 +26,15 @@ DUMMY_IMAGE_URL = ImageContentItem(
 )
 DUMMY_IMAGE_BASE64 = ImageContentItem(image=ImageContentItemImage(data="base64string"), type="image")
 
-SUPPORTED_PROVIDERS = {"remote::nvidia"}
 PROVIDERS_SUPPORTING_MEDIA = {}  # Providers that support media input for rerank models
 
 
+def skip_if_provider_doesnt_support_rerank(inference_provider_type):
+    supported_providers = {"remote::nvidia"}
+    if inference_provider_type not in supported_providers:
+        pytest.skip(f"{inference_provider_type} doesn't support rerank models")
+
+
 def _validate_rerank_response(response: InferenceRerankResponse, items: list) -> None:
     """
     Validate that a rerank response has the correct structure and ordering.
@@ -90,8 +95,7 @@ def _validate_semantic_ranking(response: InferenceRerankResponse, items: list, e
     ],
 )
 def test_rerank_text(client_with_models, rerank_model_id, query, items, inference_provider_type):
-    if inference_provider_type not in SUPPORTED_PROVIDERS:
-        pytest.xfail(f"{inference_provider_type} doesn't support rerank models yet. ")
+    skip_if_provider_doesnt_support_rerank(inference_provider_type)
 
     response = client_with_models.inference.rerank(model=rerank_model_id, query=query, items=items)
     assert isinstance(response, list)
@@ -118,8 +122,7 @@ def test_rerank_text(client_with_models, rerank_model_id, query, items, inferenc
     ],
 )
 def test_rerank_image(client_with_models, rerank_model_id, query, items, inference_provider_type):
-    if inference_provider_type not in SUPPORTED_PROVIDERS:
-        pytest.xfail(f"{inference_provider_type} doesn't support rerank models yet. ")
+    skip_if_provider_doesnt_support_rerank(inference_provider_type)
 
     if rerank_model_id not in PROVIDERS_SUPPORTING_MEDIA:
         error_type = (
@@ -136,8 +139,7 @@ def test_rerank_image(client_with_models, rerank_model_id, query, items, inferen
 
 
 def test_rerank_max_results(client_with_models, rerank_model_id, inference_provider_type):
-    if inference_provider_type not in SUPPORTED_PROVIDERS:
-        pytest.xfail(f"{inference_provider_type} doesn't support rerank models yet. ")
+    skip_if_provider_doesnt_support_rerank(inference_provider_type)
 
     items = [DUMMY_STRING, DUMMY_STRING2, DUMMY_TEXT, DUMMY_TEXT2]
     max_num_results = 2
@@ -155,8 +157,7 @@ def test_rerank_max_results(client_with_models, rerank_model_id, inference_provi
 
 
 def test_rerank_max_results_larger_than_items(client_with_models, rerank_model_id, inference_provider_type):
-    if inference_provider_type not in SUPPORTED_PROVIDERS:
-        pytest.xfail(f"{inference_provider_type} doesn't support rerank yet")
+    skip_if_provider_doesnt_support_rerank(inference_provider_type)
 
     items = [DUMMY_STRING, DUMMY_STRING2]
     response = client_with_models.inference.rerank(
@@ -205,8 +206,7 @@ def test_rerank_max_results_larger_than_items(client_with_models, rerank_model_i
 def test_rerank_semantic_correctness(
     client_with_models, rerank_model_id, query, items, expected_first_item, inference_provider_type
 ):
-    if inference_provider_type not in SUPPORTED_PROVIDERS:
-        pytest.xfail(f"{inference_provider_type} doesn't support rerank models yet.")
+    skip_if_provider_doesnt_support_rerank(inference_provider_type)
 
     response = client_with_models.inference.rerank(model=rerank_model_id, query=query, items=items)