Migrate doc to website: Hardware Plugins (1/N) (#31496)

Signed-off-by: esmeetu <jasonailu87@gmail.com>

docs/getting_started/installation/README.md

@@ -14,18 +14,6 @@ vLLM supports the following hardware platforms:
 
 ## Hardware Plugins
 
-The backends below live **outside** the main `vllm` repository and follow the
-[Hardware-Pluggable RFC](../../design/plugin_system.md).
+vLLM supports third-party hardware plugins that live **outside** the main `vllm` repository. These follow the [Hardware-Pluggable RFC](../../design/plugin_system.md).
 
-| Accelerator | PyPI / package | Repository |
-|-------------|----------------|------------|
-| Google TPU | `tpu-inference` | <https://github.com/vllm-project/tpu-inference> |
-| Ascend NPU | `vllm-ascend` | <https://github.com/vllm-project/vllm-ascend> |
-| Intel Gaudi (HPU) | N/A, install from source | <https://github.com/vllm-project/vllm-gaudi> |
-| MetaX MACA GPU | N/A, install from source | <https://github.com/MetaX-MACA/vLLM-metax> |
-| Rebellions ATOM / REBEL NPU | `vllm-rbln` | <https://github.com/rebellions-sw/vllm-rbln> |
-| IBM Spyre AIU | `vllm-spyre` | <https://github.com/vllm-project/vllm-spyre> |
-| 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> |
+A list of all supported hardware can be found on the [vllm.ai website](https://vllm.ai/#hardware). If you want to add new hardware, please contact us on [Slack](https://slack.vllm.ai/) or [Email](mailto:collaboration@vllm.ai).