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docs: fixes distributed executor backend config for multi-node vllm #29173

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docs: fixes distributed executor backend config for multi-node vllm #29173

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6 changes: 4 additions & 2 deletions docs/serving/parallelism_scaling.md
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Expand Up @@ -118,14 +118,16 @@ The common practice is to set the tensor parallel size to the number of GPUs in
```bash
vllm serve /path/to/the/model/in/the/container \
--tensor-parallel-size 8 \
--pipeline-parallel-size 2
--pipeline-parallel-size 2 \
--distributed-executor-backend ray
```

Alternatively, you can set `tensor_parallel_size` to the total number of GPUs in the cluster:

```bash
vllm serve /path/to/the/model/in/the/container \
--tensor-parallel-size 16
--tensor-parallel-size 16 \
--distributed-executor-backend ray
```

## Optimizing network communication for tensor parallelism
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