diff --git a/dpnp/tests/test_product.py b/dpnp/tests/test_product.py
index 5fa74edfe2d..983fd2161d2 100644
--- a/dpnp/tests/test_product.py
+++ b/dpnp/tests/test_product.py
@@ -12,7 +12,9 @@
     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
@@ -1441,6 +1443,9 @@ class TestMatvec:
     def setup_method(self):
         numpy.random.seed(42)
 
+    @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",
@@ -2167,6 +2172,9 @@ class TestVecmat:
     def setup_method(self):
         numpy.random.seed(42)
 
+    @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 56f55de2f1c..0039d74789f 100644
--- a/dpnp/tests/test_umath.py
+++ b/dpnp/tests/test_umath.py
@@ -23,6 +23,7 @@
     has_support_aspect64,
     is_cuda_device,
     is_gpu_device,
+    is_win_platform,
 )
 
 # full list of umaths
@@ -121,6 +122,9 @@ 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)