[Doc] Organise installation documentation into categories and tabs (#11935)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

docs/source/getting_started/installation/gpu/xpu.inc.md

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+# Installation
+
+vLLM initially supports basic model inferencing and serving on Intel GPU platform.
+
+## Requirements
+
+- Supported Hardware: Intel Data Center GPU, Intel ARC GPU
+- OneAPI requirements: oneAPI 2024.2
+
+## Set up using Python
+
+### Pre-built wheels
+
+Currently, there are no pre-built XPU wheels.
+
+### Build wheel from source
+
+- First, install required driver and intel OneAPI 2024.2 or later.
+- Second, install Python packages for vLLM XPU backend building:
+
+```console
+source /opt/intel/oneapi/setvars.sh
+pip install --upgrade pip
+pip install -v -r requirements-xpu.txt
+```
+
+- Finally, build and install vLLM XPU backend:
+
+```console
+VLLM_TARGET_DEVICE=xpu python setup.py install
+```
+
+```{note}
+- FP16 is the default data type in the current XPU backend. The BF16 data
+  type will be supported in the future.
+```
+
+## Set up using Docker
+
+### Pre-built images
+
+Currently, there are no pre-built XPU images.
+
+### Build image from source
+
+```console
+$ docker build -f Dockerfile.xpu -t vllm-xpu-env --shm-size=4g .
+$ docker run -it \
+             --rm \
+             --network=host \
+             --device /dev/dri \
+             -v /dev/dri/by-path:/dev/dri/by-path \
+             vllm-xpu-env
+```
+
+## Supported features
+
+XPU platform supports tensor-parallel inference/serving and also supports pipeline parallel as a beta feature for online serving. We requires Ray as the distributed runtime backend. For example, a reference execution likes following:
+
+```console
+python -m vllm.entrypoints.openai.api_server \
+     --model=facebook/opt-13b \
+     --dtype=bfloat16 \
+     --device=xpu \
+     --max_model_len=1024 \
+     --distributed-executor-backend=ray \
+     --pipeline-parallel-size=2 \
+     -tp=8
+```
+
+By default, a ray instance will be launched automatically if no existing one is detected in 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.