[Hardware][Intel GPU] Add Intel GPU(XPU) inference backend (#3814)

Co-authored-by: Jiang Li <jiang1.li@intel.com>
Co-authored-by: Abhilash Majumder <abhilash.majumder@intel.com>
Co-authored-by: Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com>

docs/source/getting_started/xpu-installation.rst

@@ -0,0 +1,61 @@
+.. _installation_xpu:
+
+Installation with XPU
+========================
+
+vLLM initially supports basic model inferencing and serving on Intel GPU platform.
+
+Table of contents:
+
+#. :ref:`Requirements <xpu_backend_requirements>`
+#. :ref:`Quick start using Dockerfile <xpu_backend_quick_start_dockerfile>`
+#. :ref:`Build from source <build_xpu_backend_from_source>`
+
+.. _xpu_backend_requirements:
+
+Requirements
+------------
+
+* OS: Linux
+* Supported Hardware: Intel Data Center GPU (Intel ARC GPU WIP)
+* OneAPI requirements: oneAPI 2024.1 
+
+.. _xpu_backend_quick_start_dockerfile:
+
+Quick start using Dockerfile
+----------------------------
+
+.. code-block:: 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
+
+.. _build_xpu_backend_from_source:
+
+Build from source
+-----------------
+
+- First, install required driver and intel OneAPI 2024.1.
+
+- Second, install Python packages for vLLM XPU backend building:
+
+.. code-block:: console
+
+    $ pip install --upgrade pip
+    $ pip install -v -r requirements-xpu.txt 
+
+- Finally, build and install vLLM XPU backend: 
+
+.. code-block:: 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.
+