diff --git a/media/docs/pythonDSL/cute_dsl_general/compile_with_tvm_ffi.rst b/media/docs/pythonDSL/cute_dsl_general/compile_with_tvm_ffi.rst
index d7833e59..deb6229d 100644
--- a/media/docs/pythonDSL/cute_dsl_general/compile_with_tvm_ffi.rst
+++ b/media/docs/pythonDSL/cute_dsl_general/compile_with_tvm_ffi.rst
@@ -350,6 +350,19 @@ The TVM FFI function supports the following |DSL|-specific types as arguments:
    * - Tuple of types (e.g. ``Tuple[cute.Tensor, cute.Tensor, cutlass.Int32]``)
      - Python tuple of corresponding call-time types.
 
+
+Note on Stride Order
+~~~~~~~~~~~~~~~~~~~~
+
+Note that cute's convention is to write the stride order for dimensions from left to right,
+where a lower order number means higher priority.
+For shape ``(2, 3, 4)`` and stride order ``(0, 1, 2)``, the stride is ``(1, 2, 6)``. This is typically also known
+as column major order. If you want to create a fake tensor with compact row major order,
+you should explicitly pass in ``stride_order=reversed(range(len(shape)))``
+to ``make_fake_compact_tensor``. Alternatively, you can always precisely control the
+stride via the ``stride`` argument in the ``make_fake_tensor`` API.
+
+
 Error handling
 --------------