diff --git a/dpnp/tests/test_strides.py b/dpnp/tests/test_strides.py
index 712bc7c91df3..6c8344fa15c6 100644
--- a/dpnp/tests/test_strides.py
+++ b/dpnp/tests/test_strides.py
@@ -182,6 +182,7 @@ def test_erf(dtype):
     assert_dtype_allclose(result, expected)
 
 
+@pytest.mark.filterwarnings("ignore::RuntimeWarning")
 @pytest.mark.parametrize("dtype", get_float_complex_dtypes())
 @pytest.mark.parametrize("stride", [2, -1, -3])
 def test_reciprocal(dtype, stride):
diff --git a/dpnp/tests/test_umath.py b/dpnp/tests/test_umath.py
index 0039d74789f7..6284950ae94e 100644
--- a/dpnp/tests/test_umath.py
+++ b/dpnp/tests/test_umath.py
@@ -445,7 +445,7 @@ def test_large_values(self, dtype):
 
 
 class TestReciprocal:
-    @pytest.mark.usefixtures("suppress_divide_numpy_warnings")
+    @pytest.mark.filterwarnings("ignore::RuntimeWarning")
     @pytest.mark.parametrize("dtype", get_float_complex_dtypes())
     def test_reciprocal(self, dtype):
         a = generate_random_numpy_array(10, dtype)
diff --git a/dpnp/tests/third_party/cupy/math_tests/test_arithmetic.py b/dpnp/tests/third_party/cupy/math_tests/test_arithmetic.py
index a20b287c18b4..3925b5974245 100644
--- a/dpnp/tests/third_party/cupy/math_tests/test_arithmetic.py
+++ b/dpnp/tests/third_party/cupy/math_tests/test_arithmetic.py
@@ -134,6 +134,7 @@ def test_raises_with_numpy_input(self):
 )
 class TestArithmeticUnary:
 
+    @pytest.mark.filterwarnings("ignore::RuntimeWarning")
     @testing.numpy_cupy_allclose(atol=1e-5, type_check=has_support_aspect64())
     def test_unary(self, xp):
         arg1 = self.arg1
diff --git a/dpnp/tests/third_party/cupy/math_tests/test_misc.py b/dpnp/tests/third_party/cupy/math_tests/test_misc.py
index 4542c51de33e..c04a4cbc306d 100644
--- a/dpnp/tests/third_party/cupy/math_tests/test_misc.py
+++ b/dpnp/tests/third_party/cupy/math_tests/test_misc.py
@@ -250,6 +250,7 @@ def test_nan_to_num_for_old_numpy(self):
     def test_nan_to_num_negative_for_old_numpy(self):
         self.check_unary_negative("nan_to_num", no_bool=True)
 
+    @pytest.mark.filterwarnings("ignore::RuntimeWarning")
     def test_nan_to_num_inf(self):
         self.check_unary_inf("nan_to_num")
 
@@ -260,6 +261,7 @@ def test_nan_to_num_nan(self):
     def test_nan_to_num_scalar_nan(self, xp):
         return xp.nan_to_num(xp.array(xp.nan))
 
+    @pytest.mark.filterwarnings("ignore::RuntimeWarning")
     def test_nan_to_num_inf_nan(self):
         self.check_unary_inf_nan("nan_to_num")