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[doc][mkdocs] fix the duplicate Supported features sections in GPU docs #19606

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Jun 13, 2025
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[doc][mkdocs] fix the duplicate Supported features sections in GPU docs #19606

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5 changes: 4 additions & 1 deletion docs/getting_started/installation/gpu/cuda.inc.md
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Expand Up @@ -254,7 +254,10 @@ The latest code can contain bugs and may not be stable. Please use it with cauti

See [deployment-docker-build-image-from-source][deployment-docker-build-image-from-source] for instructions on building the Docker image.

## Supported features
# --8<-- [end:build-image-from-source]
# --8<-- [start:supported-features]

See [feature-x-hardware][feature-x-hardware] compatibility matrix for feature support information.

# --8<-- [end:supported-features]
# --8<-- [end:extra-information]
5 changes: 4 additions & 1 deletion docs/getting_started/installation/gpu/rocm.inc.md
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Expand Up @@ -217,7 +217,10 @@ docker run -it \

Where the `<path/to/model>` is the location where the model is stored, for example, the weights for llama2 or llama3 models.

## Supported features
# --8<-- [end:build-image-from-source]
# --8<-- [start:supported-features]

See [feature-x-hardware][feature-x-hardware] compatibility matrix for feature support information.

# --8<-- [end:supported-features]
# --8<-- [end:extra-information]
5 changes: 4 additions & 1 deletion docs/getting_started/installation/gpu/xpu.inc.md
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Expand Up @@ -63,7 +63,8 @@ $ docker run -it \
vllm-xpu-env
```

## Supported features
# --8<-- [end:build-image-from-source]
# --8<-- [start:supported-features]

XPU platform supports **tensor parallel** inference/serving and also supports **pipeline parallel** as a beta feature for online serving. We require Ray as the distributed runtime backend. For example, a reference execution like following:

Expand All @@ -78,4 +79,6 @@ python -m vllm.entrypoints.openai.api_server \
```

By default, a ray instance will be launched automatically if no existing one is detected in the system, with `num-gpus` equals to `parallel_config.world_size`. We recommend properly starting a ray cluster before execution, referring to the <gh-file:examples/online_serving/run_cluster.sh> helper script.

# --8<-- [end:supported-features]
# --8<-- [end:extra-information]