diff --git a/doc/source/dask-on-ray.rst b/doc/source/dask-on-ray.rst
index e27f1cb6b..b5383ac8b 100644
--- a/doc/source/dask-on-ray.rst
+++ b/doc/source/dask-on-ray.rst
@@ -7,6 +7,11 @@ analyses using the familiar Dask collections (dataframes, arrays) and execute
 the underlying computations on a Ray cluster. Using this Dask scheduler, the
 entire Dask ecosystem can be executed on top of Ray.
 
+.. note::
+
+  Note that Ray does not currently support object spilling, and hence cannot
+  process datasets larger than cluster memory. This is a planned feature.
+
 =========
 Scheduler
 =========
diff --git a/doc/source/oss-users.rst b/doc/source/oss-users.rst
index 032018596..028d7f7a7 100644
--- a/doc/source/oss-users.rst
+++ b/doc/source/oss-users.rst
@@ -34,21 +34,6 @@ Flambé is a machine learning experimentation framework built to accelerate the
 
 Github: `https://github.com/asappresearch/flambe <https://github.com/asappresearch/flambe>`_
 
-MARS |mars|
------------
-
-Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn. Mars can scale in to a single machine, and scale out to a cluster with thousands of machines.
-
-
-[`Link to integration <mars-on-ray.html>`__]
-
-Modin |modin|
--------------
-
-Scale your pandas workflows by changing one line of code. Modin transparently distributes the data and computation so that all you need to do is continue using the pandas API as you were before installing Modin. 
-
-GitHub: `https://github.com/modin-project/modin <https://github.com/modin-project/modin>`_
-
 Horovod |horovod|
 -----------------
 
@@ -70,6 +55,20 @@ Analytics Zoo seamless scales TensorFlow, Keras and PyTorch to distributed big d
 
 [`Link to integration <https://analytics-zoo.github.io/master/#ProgrammingGuide/rayonspark/>`__]
 
+MARS |mars|
+-----------
+
+Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn. Mars can scale in to a single machine, and scale out to a cluster with thousands of machines.
+
+[`Link to integration <mars-on-ray.html>`__]
+
+Modin |modin|
+-------------
+
+Scale your pandas workflows by changing one line of code. Modin transparently distributes the data and computation so that all you need to do is continue using the pandas API as you were before installing Modin.
+
+GitHub: `https://github.com/modin-project/modin <https://github.com/modin-project/modin>`_
+
 PyCaret |pycaret|
 -----------------