From 2f939acefad0ec0c243c37869fc3d3bd136de713 Mon Sep 17 00:00:00 2001
From: Angelos Katharopoulos <a_katharopoulos@apple.com>
Date: Fri, 12 Dec 2025 04:36:46 -0800
Subject: [PATCH] Progress with the docs

---
 .../distributed/m3-ultra-mesh-broken.png      | Bin 0 -> 16519 bytes
 .../src/_static/distributed/m3-ultra-mesh.png | Bin 0 -> 22069 bytes
 docs/src/usage/distributed.rst                | 353 +++++++++++++-----
 3 files changed, 261 insertions(+), 92 deletions(-)
 create mode 100644 docs/src/_static/distributed/m3-ultra-mesh-broken.png
 create mode 100644 docs/src/_static/distributed/m3-ultra-mesh.png

diff --git a/docs/src/_static/distributed/m3-ultra-mesh-broken.png b/docs/src/_static/distributed/m3-ultra-mesh-broken.png
new file mode 100644
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diff --git a/docs/src/usage/distributed.rst b/docs/src/usage/distributed.rst
index 0b83709e2..73c40f8b9 100644
--- a/docs/src/usage/distributed.rst
+++ b/docs/src/usage/distributed.rst
@@ -7,22 +7,29 @@ Distributed Communication
 
 MLX supports distributed communication operations that allow the computational cost
 of training or inference to be shared across many physical machines. At the
-moment we support three different communication backends:
+moment we support several different communication backends introduced below.
+
+.. list-table::
+   :widths: 20 80
+   :header-rows: 1
+
+   * - Backend
+     - Description
+   * - :ref:`MPI <mpi_section>`
+     - A full featured and mature distributed communications library.
+   * - :ref:`RING <ring_section>`
+     - Ring all reduce and all gather over TCP sockets. Always available and
+       usually faster than MPI.
+   * - :ref:`JACCL <ring_section>`
+     - Low latency communication with RDMA over thunderbolt. Necessary for
+       things like tensor parallelism.
+   * - :ref:`NCCL <nccl_section>`
+     - The backend of choice for CUDA environments.
 
-* `MPI <https://en.wikipedia.org/wiki/Message_Passing_Interface>`_ a
-  full-featured and mature distributed communications library
-* A **ring** backend of our own that uses native TCP sockets. It should be
-  faster for thunderbolt connections, but it also works over Ethernet.
-* `nccl <https://developer.nvidia.com/nccl>`_, for use in CUDA environments.
 
 The list of all currently supported operations and their documentation can be
 seen in the :ref:`API docs<distributed>`.
 
-.. note::
-   Some operations may not be supported or not as fast as they should be.
-   We are adding more and tuning the ones we have as we are figuring out the
-   best way to do distributed computing on Macs using MLX.
-
 Getting Started
 ---------------
 
@@ -85,7 +92,7 @@ Selecting Backend
 ^^^^^^^^^^^^^^^^^
 
 You can select the backend you want to use when calling :func:`init` by passing
-one of ``{'any', 'ring', 'mpi', 'nccl'}``. When passing ``any``, MLX will try all
+one of ``{'any', 'ring', 'jaccl', 'mpi', 'nccl'}``. When passing ``any``, MLX will try all
 available backends. If they all fail then a singleton group is created.
 
 .. note::
@@ -192,16 +199,247 @@ almost identical to the example above:
         loss = step(model, x, y)
         mx.eval(loss, model.parameters())
 
+.. _ring_section:
+
+Getting Started with Ring
+-------------------------
+
+The ring backend does not depend on any third party library so it is always
+available. It uses TCP sockets so the nodes need to be reachable via a network.
+As the name suggests the nodes are connected in a ring which means that rank 1
+can only communicate with rank 0 and rank 2, rank 2 only with rank 1 and rank 3
+and so on and so forth. As a result :func:`send` and :func:`recv` with
+arbitrary sender and receiver is not supported in the ring backend.
+
+Defining a Ring
+^^^^^^^^^^^^^^^
+
+The easiest way to define and use a ring is via a JSON hostfile and the
+``mlx.launch`` :doc:`helper script <launching_distributed>`. For each node one
+defines a hostname to ssh into to run commands on this node and one or more IPs
+that this node will listen to for connections.
+
+For example the hostfile below defines a 4 node ring. ``hostname1`` will be
+rank 0, ``hostname2`` rank 1 etc.
+
+.. code:: json
+
+    [
+        {"ssh": "hostname1", "ips": ["123.123.123.1"]},
+        {"ssh": "hostname2", "ips": ["123.123.123.2"]},
+        {"ssh": "hostname3", "ips": ["123.123.123.3"]},
+        {"ssh": "hostname4", "ips": ["123.123.123.4"]}
+    ]
+
+Running ``mlx.launch --hostfile ring-4.json my_script.py`` will ssh into each
+node, run the script which will listen for connections in each of the provided
+IPs. Specifically, ``hostname1`` will connect to ``123.123.123.2`` and accept a
+connection from ``123.123.123.4`` and so on and so forth.
+
+Thunderbolt Ring
+^^^^^^^^^^^^^^^^
+
+Although the ring backend can have benefits over MPI even for Ethernet, its
+main purpose is to use Thunderbolt rings for higher bandwidth communication.
+Setting up such thunderbolt rings can be done manually, but is a relatively
+tedious process. To simplify this, we provide the utility ``mlx.distributed_config``.
+
+To use ``mlx.distributed_config`` your computers need to be accessible by ssh via
+Ethernet or Wi-Fi. Subsequently, connect them via thunderbolt cables and then call the
+utility as follows:
+
+.. code:: shell
+
+   mlx.distributed_config --verbose --hosts host1,host2,host3,host4 --backend ring
+
+By default the script will attempt to discover the thunderbolt ring and provide
+you with the commands to configure each node as well as the ``hostfile.json``
+to use with ``mlx.launch``. If password-less ``sudo`` is available on the nodes
+then ``--auto-setup`` can be used to configure them automatically.
+
+If you want to go through the process manually, the steps are as follows:
+
+* Disable the thunderbolt bridge interface
+* For the cable connecting rank ``i`` to rank ``i + 1`` find the interfaces
+  corresponding to that cable in nodes ``i`` and ``i + 1``.
+* Set up a unique subnetwork connecting the two nodes for the corresponding
+  interfaces. For instance if the cable corresponds to ``en2`` on node ``i``
+  and ``en2`` also on node ``i + 1`` then we may assign IPs ``192.168.0.1`` and
+  ``192.168.0.2`` respectively to the two nodes. For more details you can see
+  the commands prepared by the utility script.
+
+.. _jaccl_section:
+
+Getting Started with RDMA over Thunderbolt
+------------------------------------------
+
+Starting from version 26.2 RDMA over thunderbolt is available in MacOS and
+enables low-latency communication between Macs with thunderbolt 5. MLX provides
+the JACCL backend that uses this functionality to achieve communication latency
+an order of magnitude lower than the ring backend.
+
+.. note::
+
+   The name JACCL (pronounced Jackal) stands for *Jack and Angelos' Collective
+   Communication Library* and it is an obvious pun to Nvidia's NCCL but also
+   tribute to *Jack Beasley* who led the development of RDMA over Thunderbolt
+   at Apple.
+
+Enabling RDMA
+^^^^^^^^^^^^^
+
+Until the feature matures, enabling RDMA over thunderbolt is slightly more
+involved and **cannot** be done remotely even with sudo. In fact it has to be
+done in macOS recovery:
+
+1. `Start your computer in recovery <https://support.apple.com/en-us/102518>`_.
+2. Open the Terminal by going to Utilities -> Terminal.
+3. Run ``rdma_ctl enable``.
+4. Reboot.
+
+To verify that you have successfully enabled Thunderbolt RDMA you can run
+``ibv_devices`` which should produce something like the following for an M3 Ultra.
+
+.. code-block:: bash
+
+    ~ % ibv_devices
+    device          	   node GUID
+    ------          	----------------
+    rdma_en2        	8096a9d9edbaac05
+    rdma_en3        	8196a9d9edbaac05
+    rdma_en5        	8396a9d9edbaac05
+    rdma_en4        	8296a9d9edbaac05
+    rdma_en6        	8496a9d9edbaac05
+    rdma_en7        	8596a9d9edbaac05
+
+Defining a Mesh
+^^^^^^^^^^^^^^^
+
+The JACCL backend supports only fully connected topologies. Namely, there needs
+to be a thunderbolt cable connecting all pairs of Macs directly. For example in
+the following topology visualizations the left one is valid because there is a
+connection from any node to any other node, while for the one on the right M3
+Ultra 1 is not connected to M3 Ultra 2.
+
+.. raw:: html
+
+   <div style="display: flex; text-align: center; align-items: end; font-size: 80%;">
+     <div>
+       <img src="/_static/distributed/m3-ultra-mesh.png" alt="M3 Ultra thunderbolt mesh" style="width: 55%">
+       <p>Fully connected mesh of four M3 Ultra.</p>
+     </div>
+     <div>
+       <img src="/_static/distributed/m3-ultra-mesh-broken.png" alt="M3 Ultra broken thunderbolt mesh" style="width: 55%">
+       <p>Not a valid mesh (M3 Ultra 1 is not connected to M3 Ultra 2).</p>
+     </div>
+   </div>
+
+Similar to the ring backend, the easiest way to use JACCL with MLX is to write
+a JSON hostfile that will be used by ``mlx.launch``. The hostfile needs to contain
+
+- Hostnames to use for launching scripts via ssh
+- An IP for rank 0 that is reachable by all nodes
+- A list of rdma devices that connect each node to each other node
+
+The following JSON defines the valid 4-node mesh from the image above.
+
+.. code-block:: json
+
+    [
+        {
+            "ssh": "m3-ultra-1",
+            "ips": ["123.123.123.1"],
+            "rdma": [null, "rdma_en5", "rdma_en4", "rdma_en3"]
+        },
+        {
+            "ssh": "m3-ultra-2",
+            "ips": [],
+            "rdma": ["rdma_en5", null, "rdma_en3", "rdma_en4"]
+        },
+        {
+            "ssh": "m3-ultra-3",
+            "ips": [],
+            "rdma": ["rdma_en4", "rdma_en3", null, "rdma_en5"]
+        },
+        {
+            "ssh": "m3-ultra-4",
+            "ips": [],
+            "rdma": ["rdma_en3", "rdma_en4", "rdma_en5", null]
+        }
+    ]
+
+Even though TCP/IP is not used when communicating with Thunderbolt RDMA,
+disabling the thunderbolt bridge is still required as well as setting up
+isolated local networks for each thunderbolt connection.
+
+All of the above can be done instead via ``mlx.distributed_config``. The helper
+script will
+
+- ssh into each node
+- extract the thunderbolt connectivity
+- check for a valid mesh
+- provide the commands to configure each node (or run them if sudo is available)
+- generate the hostfile to be used with ``mlx.launch``
+
+Putting it All Together
+^^^^^^^^^^^^^^^^^^^^^^
+
+For example to launch a distributed MLX script that uses JACCL is fairly simple
+if the nodes are reachable via ssh and have password-less sudo.
+
+First, connect all the thunderbolt cables. Then we can verify the connections
+by using the ``mlx.distributed_config`` script to visualize them.
+
+.. code-block:: bash
+
+   mlx.distributed_config --verbose \
+        --hosts m3-ultra-1,m3-ultra-2,m3-ultra-3,m3-ultra-4 \
+        --over thunderbolt --dot | dot -Tpng | open -f -a Preview
+
+After making sure that everything looks right we can auto-configure the nodes
+and save the hostfile to ``m3-ultra-jaccl.json`` by running:
+
+.. code-block:: bash
+
+   mlx.distributed_config --verbose \
+        --hosts m3-ultra-1,m3-ultra-2,m3-ultra-3,m3-ultra-4 \
+        --over thunderbolt --backend jaccl \
+        --auto-setup --output m3-ultra-jaccl.json
+
+And now we are ready to run a distributed MLX script such as distributed inference
+of a gigantic model using MLX-LM.
+
+.. code-block:: bash
+
+   mlx.launch --verbose --backend jaccl --hostfile m3-ultra-jaccl.json \
+        --env MLX_METAL_FAST_SYNCH=1 -- \  # <--- important
+        /path/to/remote/python -m mlx_lm chat --model mlx-community/DeepSeek-V3.2-8bit --shard
+
+.. note::
+
+   Defining the environment variable ``MLX_METAL_FAST_SYNCH=1`` enables a
+   different, faster way of synchronizing between the GPU and the CPU. It is
+   not specific to the JACCL backend and can be used in all cases where the CPU
+   and GPU need to collaborate for some computation and is pretty critical for
+   low-latency communication since the communication is done by the CPU.
+
+.. _nccl_section:
+
+Getting Started with NCCL
+-------------------------
+
+.. _mpi_section:
 
 Getting Started with MPI
 ------------------------
 
-MLX already comes with the ability to "talk" to MPI if it is installed on the
-machine. Launching distributed MLX programs that use MPI can be done with
-``mpirun`` as expected. However, in the following examples we will be using
-``mlx.launch --backend mpi`` which takes care of some nuisances such as setting
-absolute paths for the ``mpirun`` executable and the ``libmpi.dyld`` shared
-library.
+MLX already comes with the ability to "talk" to `MPI
+<https://en.wikipedia.org/wiki/Message_Passing_Interface>`_ if it is installed
+on the machine. Launching distributed MLX programs that use MPI can be done
+with ``mpirun`` as expected. However, in the following examples we will be
+using ``mlx.launch --backend mpi`` which takes care of some nuisances such as
+setting absolute paths for the ``mpirun`` executable and the ``libmpi.dyld``
+shared library.
 
 The simplest possible usage is the following which, assuming the minimal
 example in the beginning of this page, should result in:
@@ -269,78 +507,9 @@ Force MPI to use the most performant network interface by setting ``--mca
 btl_tcp_if_include <iface>`` where ``<iface>`` should be the interface you want
 to use.
 
-Getting Started with Ring
+Distributed Without ``mlx.launch``
+----------------------------------
+
+
+Using the helper scripts
 -------------------------
-
-The ring backend does not depend on any third party library so it is always
-available. It uses TCP sockets so the nodes need to be reachable via a network.
-As the name suggests the nodes are connected in a ring which means that rank 1
-can only communicate with rank 0 and rank 2, rank 2 only with rank 1 and rank 3
-and so on and so forth. As a result :func:`send` and :func:`recv` with
-arbitrary sender and receiver is not supported in the ring backend.
-
-Defining a Ring
-^^^^^^^^^^^^^^^
-
-The easiest way to define and use a ring is via a JSON hostfile and the
-``mlx.launch`` :doc:`helper script <launching_distributed>`. For each node one
-defines a hostname to ssh into to run commands on this node and one or more IPs
-that this node will listen to for connections.
-
-For example the hostfile below defines a 4 node ring. ``hostname1`` will be
-rank 0, ``hostname2`` rank 1 etc.
-
-.. code:: json
-
-    [
-        {"ssh": "hostname1", "ips": ["123.123.123.1"]},
-        {"ssh": "hostname2", "ips": ["123.123.123.2"]},
-        {"ssh": "hostname3", "ips": ["123.123.123.3"]},
-        {"ssh": "hostname4", "ips": ["123.123.123.4"]}
-    ]
-
-Running ``mlx.launch --hostfile ring-4.json my_script.py`` will ssh into each
-node, run the script which will listen for connections in each of the provided
-IPs. Specifically, ``hostname1`` will connect to ``123.123.123.2`` and accept a
-connection from ``123.123.123.4`` and so on and so forth.
-
-Thunderbolt Ring
-^^^^^^^^^^^^^^^^
-
-Although the ring backend can have benefits over MPI even for Ethernet, its
-main purpose is to use Thunderbolt rings for higher bandwidth communication.
-Setting up such thunderbolt rings can be done manually, but is a relatively
-tedious process. To simplify this, we provide the utility ``mlx.distributed_config``.
-
-To use ``mlx.distributed_config`` your computers need to be accessible by ssh via
-Ethernet or Wi-Fi. Subsequently, connect them via thunderbolt cables and then call the
-utility as follows:
-
-.. code:: shell
-
-   mlx.distributed_config --verbose --hosts host1,host2,host3,host4
-
-By default the script will attempt to discover the thunderbolt ring and provide
-you with the commands to configure each node as well as the ``hostfile.json``
-to use with ``mlx.launch``. If password-less ``sudo`` is available on the nodes
-then ``--auto-setup`` can be used to configure them automatically.
-
-To validate your connection without configuring anything
-``mlx.distributed_config`` can also plot the ring using DOT format.
-
-.. code:: shell
-
-   mlx.distributed_config --verbose --hosts host1,host2,host3,host4 --dot >ring.dot
-   dot -Tpng ring.dot >ring.png
-   open ring.png
-
-If you want to go through the process manually, the steps are as follows:
-
-* Disable the thunderbolt bridge interface
-* For the cable connecting rank ``i`` to rank ``i + 1`` find the interfaces
-  corresponding to that cable in nodes ``i`` and ``i + 1``.
-* Set up a unique subnetwork connecting the two nodes for the corresponding
-  interfaces. For instance if the cable corresponds to ``en2`` on node ``i``
-  and ``en2`` also on node ``i + 1`` then we may assign IPs ``192.168.0.1`` and
-  ``192.168.0.2`` respectively to the two nodes. For more details you can see
-  the commands prepared by the utility script.