diff --git a/numba_cuda/numba/cuda/tests/cudapy/test_cache_hints.py b/numba_cuda/numba/cuda/tests/cudapy/test_cache_hints.py
new file mode 100644
index 0000000..08f645e
--- /dev/null
+++ b/numba_cuda/numba/cuda/tests/cudapy/test_cache_hints.py
@@ -0,0 +1,79 @@
+from numba import cuda, typeof
+from numba.cuda.testing import unittest, CUDATestCase
+import numpy as np
+
+types = (
+    np.int8, np.int16, np.int32, np.int64,
+    np.uint8, np.uint16, np.uint32, np.uint64,
+    np.float16, np.float32, np.float64,
+)
+
+complex_types = (
+    np.complex64, np.complex128
+)
+
+load_operators = (
+    (cuda.ldca, 'ca'),
+    (cuda.ldcg, 'cg'),
+    (cuda.ldcs, 'cs'),
+    (cuda.ldlu, 'lu'),
+    (cuda.ldcv, 'cv')
+)
+store_operators = (
+    (cuda.stcg, 'cg'),
+    (cuda.stcs, 'cs'),
+    (cuda.stwb, 'wb'),
+    (cuda.stwt, 'wt')
+)
+
+
+class TestCacheHints(CUDATestCase):
+    def test_loads(self):
+        for operator, modifier in load_operators:
+            @cuda.jit
+            def f(r, x):
+                for i in range(len(r)):
+                    r[i] = operator(x, i)
+
+            for ty in types:
+                with self.subTest(operator=operator, ty=ty):
+                    x = np.arange(5).astype(ty)
+                    r = np.zeros_like(x)
+
+                    f[1, 1](r, x)
+                    np.testing.assert_equal(r, x)
+
+                    # Check PTX contains a cache-policy load instruction
+                    numba_type = typeof(x)
+                    bitwidth = numba_type.dtype.bitwidth
+                    sig = (numba_type, numba_type)
+                    ptx, _ = cuda.compile_ptx(f, sig)
+
+                    self.assertIn(f"ld.global.{modifier}.b{bitwidth}", ptx)
+
+    def test_stores(self):
+        for operator, modifier in store_operators:
+            @cuda.jit
+            def f(r, x):
+                for i in range(len(r)):
+                    operator(r, i, x[i])
+
+            for ty in types:
+                with self.subTest(operator=operator, ty=ty):
+                    x = np.arange(5).astype(ty)
+                    r = np.zeros_like(x)
+
+                    f[1, 1](r, x)
+                    np.testing.assert_equal(r, x)
+
+                    # Check PTX contains a cache-policy store instruction
+                    numba_type = typeof(x)
+                    bitwidth = numba_type.dtype.bitwidth
+                    sig = (numba_type, numba_type)
+                    ptx, _ = cuda.compile_ptx(f, sig)
+
+                    self.assertIn(f"st.global.{modifier}.b{bitwidth}", ptx)
+
+
+if __name__ == '__main__':
+    unittest.main()