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5 changes: 4 additions & 1 deletion docs/source/serving/distributed_serving.rst
Original file line number Diff line number Diff line change
Expand Up @@ -35,4 +35,7 @@ To scale vLLM beyond a single machine, install and start a `Ray runtime <https:/
$ # On worker nodes
$ ray start --address=<ray-head-address>

After that, you can run inference and serving on multiple machines by launching the vLLM process on the head node by setting :code:`tensor_parallel_size` to the number of GPUs to be the total number of GPUs across all machines.
After that, you can run inference and serving on multiple machines by launching the vLLM process on the head node by setting :code:`tensor_parallel_size` to the number of GPUs to be the total number of GPUs across all machines.

.. warning::
Please make sure you downloaded the model to all the nodes, or the model is downloaded to some distributed file system that is accessible by all nodes.