diff --git a/dpnp/tests/test_product.py b/dpnp/tests/test_product.py
index 9963c85f737..bef8c4259ec 100644
--- a/dpnp/tests/test_product.py
+++ b/dpnp/tests/test_product.py
@@ -12,9 +12,7 @@
     assert_dtype_allclose,
     generate_random_numpy_array,
     get_all_dtypes,
-    is_gpu_device,
     is_ptl,
-    is_win_platform,
     numpy_version,
 )
 from .third_party.cupy import testing
@@ -1499,9 +1497,6 @@ def test_invalid_axes(self, xp):
 
 @testing.with_requires("numpy>=2.2")
 class TestMatvec:
-    @pytest.mark.skipif(
-        is_win_platform() and not is_gpu_device(), reason="SAT-8073"
-    )
     @pytest.mark.parametrize("dtype", get_all_dtypes(no_none=True))
     @pytest.mark.parametrize(
         "shape1, shape2",
@@ -2213,9 +2208,6 @@ def test_error(self, xp):
 
 @testing.with_requires("numpy>=2.2")
 class TestVecmat:
-    @pytest.mark.skipif(
-        is_win_platform() and not is_gpu_device(), reason="SAT-8073"
-    )
     @pytest.mark.parametrize("dtype", get_all_dtypes(no_none=True))
     @pytest.mark.parametrize(
         "shape1, shape2",
diff --git a/dpnp/tests/test_umath.py b/dpnp/tests/test_umath.py
index 0039d74789f..56f55de2f1c 100644
--- a/dpnp/tests/test_umath.py
+++ b/dpnp/tests/test_umath.py
@@ -23,7 +23,6 @@
     has_support_aspect64,
     is_cuda_device,
     is_gpu_device,
-    is_win_platform,
 )
 
 # full list of umaths
@@ -122,9 +121,6 @@ def test_umaths(test_cases):
             pytest.skip("dpnp.modf is not supported with dpnp.float16")
         elif is_cuda_device():
             pytest.skip("dpnp.modf is not supported on CUDA device")
-    elif umath in ["vecmat", "matvec"]:
-        if is_win_platform() and not is_gpu_device():
-            pytest.skip("SAT-8073")
 
     expected = getattr(numpy, umath)(*args)
     result = getattr(dpnp, umath)(*iargs)