@@ -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.
\ No newline at end of file
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.