diff --git a/python/cudf_polars/cudf_polars/dsl/expressions/datetime.py b/python/cudf_polars/cudf_polars/dsl/expressions/datetime.py
index b1649cbfbaa..ae11d288f51 100644
--- a/python/cudf_polars/cudf_polars/dsl/expressions/datetime.py
+++ b/python/cudf_polars/cudf_polars/dsl/expressions/datetime.py
@@ -113,6 +113,7 @@ def from_polars(cls, obj: pl_expr.TemporalFunction) -> Self:
         Name.IsoYear,
         Name.MonthStart,
         Name.MonthEnd,
+        Name.CastTimeUnit,
     }
 
     def __init__(
@@ -148,6 +149,14 @@ def do_evaluate(
             for child in self.children
         ]
         (column,) = columns
+        if self.name is TemporalFunction.Name.CastTimeUnit:
+            (unit,) = self.options
+            if plc.traits.is_timestamp(column.obj.type()):
+                dtype = plc.interop.from_arrow(pa.timestamp(unit))
+            elif plc.traits.is_duration(column.obj.type()):
+                dtype = plc.interop.from_arrow(pa.duration(unit))
+            result = plc.unary.cast(column.obj, dtype)
+            return Column(result)
         if self.name == TemporalFunction.Name.ToString:
             return Column(
                 plc.strings.convert.convert_datetime.from_timestamps(
diff --git a/python/cudf_polars/tests/expressions/test_datetime_basic.py b/python/cudf_polars/tests/expressions/test_datetime_basic.py
index 187e51fe9af..0c7d5c66e0a 100644
--- a/python/cudf_polars/tests/expressions/test_datetime_basic.py
+++ b/python/cudf_polars/tests/expressions/test_datetime_basic.py
@@ -296,3 +296,48 @@ def test_isoyear():
     q = df.with_columns(pl.col("date").dt.iso_year().alias("isoyear"))
 
     assert_gpu_result_equal(q)
+
+
+@pytest.mark.parametrize(
+    "dtype", [pl.Date(), pl.Datetime("ms"), pl.Datetime("us"), pl.Datetime("ns")]
+)
+@pytest.mark.parametrize("time_unit", ["ms", "us", "ns"])
+def test_datetime_cast_time_unit_datetime(dtype, time_unit):
+    sr = pl.Series(
+        "date",
+        [
+            datetime.datetime(1970, 1, 1, 0, 0, 0),
+            datetime.datetime(1999, 12, 31, 23, 59, 59),
+            datetime.datetime(2001, 1, 1, 12, 0, 0),
+            datetime.datetime(2020, 2, 29, 23, 59, 59),
+            datetime.datetime(2024, 12, 31, 23, 59, 59, 999999),
+        ],
+        dtype=dtype,
+    )
+    df = pl.DataFrame({"date": sr}).lazy()
+
+    q = df.select(pl.col("date").dt.cast_time_unit(time_unit).alias("time_unit_ms"))
+
+    assert_gpu_result_equal(q)
+
+
+@pytest.mark.parametrize(
+    "dtype", [pl.Duration("ms"), pl.Duration("us"), pl.Duration("ns")]
+)
+@pytest.mark.parametrize("time_unit", ["ms", "us", "ns"])
+def test_datetime_cast_time_unit_duration(dtype, time_unit):
+    sr = pl.Series(
+        "date",
+        [
+            datetime.timedelta(days=1),
+            datetime.timedelta(days=2),
+            datetime.timedelta(days=3),
+            datetime.timedelta(days=4),
+            datetime.timedelta(days=5),
+        ],
+        dtype=dtype,
+    )
+    df = pl.DataFrame({"date": sr}).lazy()
+
+    q = df.select(pl.col("date").dt.cast_time_unit(time_unit).alias("time_unit_ms"))
+    assert_gpu_result_equal(q)