[Doc] Add vllm-metal to hardware plugin documentation (#31174)

Signed-off-by: mgoin <mgoin64@gmail.com>
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Michael Goin 2025-12-22 15:06:29 -05:00 committed by GitHub
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@ -28,3 +28,4 @@ The backends below live **outside** the main `vllm` repository and follow the
| Cambricon MLU | `vllm-mlu` | <https://github.com/Cambricon/vllm-mlu> |
| Baidu Kunlun XPU | N/A, install from source | <https://github.com/baidu/vLLM-Kunlun> |
| Sophgo TPU | N/A, install from source | <https://github.com/sophgo/vllm-tpu> |
| Apple Silicon (Metal) | N/A, install from source | <https://github.com/vllm-project/vllm-metal> |

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@ -4,6 +4,9 @@ vLLM has experimental support for macOS with Apple Silicon. For now, users must
Currently the CPU implementation for macOS supports FP32 and FP16 datatypes.
!!! tip "GPU-Accelerated Inference with vLLM-Metal"
For GPU-accelerated inference on Apple Silicon using Metal, check out [vllm-metal](https://github.com/vllm-project/vllm-metal), a community-maintained hardware plugin that uses MLX as the compute backend.
# --8<-- [end:installation]
# --8<-- [start:requirements]