diff --git a/mlserver/types/base.py b/mlserver/types/base.py
index becfa06ef..ac76b6e37 100644
--- a/mlserver/types/base.py
+++ b/mlserver/types/base.py
@@ -12,8 +12,7 @@ class BaseModel(pydantic.BaseModel):
     """
 
     model_config = ConfigDict(
-        protected_namespaces=(),
-        use_enum_values=True,
+        protected_namespaces=(), use_enum_values=True, ser_json_inf_nan="null"
     )
 
     def model_dump(self, exclude_unset=True, exclude_none=True, **kwargs):
diff --git a/tests/batching/test_requests.py b/tests/batching/test_requests.py
index 5a4826690..78a1b40a7 100644
--- a/tests/batching/test_requests.py
+++ b/tests/batching/test_requests.py
@@ -9,6 +9,7 @@
     InferenceResponse,
     Parameters,
 )
+import numpy as np
 from mlserver.batching.requests import BatchedRequests
 
 
@@ -187,7 +188,10 @@ def test_merge_request_inputs(
                     parameters=Parameters(content_type="np"),
                     inputs=[
                         RequestInput(
-                            name="foo", datatype="INT32", data=[1, 2, 3], shape=[1, 3]
+                            name="foo",
+                            datatype="INT32",
+                            data=[1, 2, 3, np.nan],
+                            shape=[1, 4],
                         )
                     ],
                 ),
@@ -195,7 +199,10 @@ def test_merge_request_inputs(
                     parameters=Parameters(foo="bar"),
                     inputs=[
                         RequestInput(
-                            name="foo", datatype="INT32", data=[4, 5, 6], shape=[1, 3]
+                            name="foo",
+                            datatype="INT32",
+                            data=[4, 5, 6, np.inf],
+                            shape=[1, 4],
                         )
                     ],
                 ),
@@ -206,8 +213,8 @@ def test_merge_request_inputs(
                     RequestInput(
                         name="foo",
                         datatype="INT32",
-                        data=[1, 2, 3, 4, 5, 6],
-                        shape=[2, 3],
+                        data=[1, 2, 3, None, 4, 5, 6, None],
+                        shape=[2, 4],
                     )
                 ],
             ),