[XPU] Add XPU Dockerfile and related docs (#1162)

Signed-off-by: Yan Ma <yan.ma@intel.com>
Signed-off-by: Daniel Huang <daniel1.huang@intel.com>
Co-authored-by: Daniel Huang <daniel1.huang@intel.com>

docs/getting_started/installation/README.md

@@ -5,4 +5,5 @@ vLLM-Omni supports the following hardware platforms:
 - [GPU](gpu.md)
     - [NVIDIA CUDA](gpu.md)
     - [AMD ROCm](gpu.md)
+    - [Intel XPU](gpu.md)
 - [NPU](npu.md)

docs/getting_started/installation/gpu.md

@@ -18,6 +18,10 @@ vLLM-Omni is a Python library that supports the following GPU variants. The libr
 
     --8<-- "docs/getting_started/installation/gpu/rocm.inc.md:requirements"
 
+=== "Intel XPU"
+
+    --8<-- "docs/getting_started/installation/gpu/xpu.inc.md:requirements"
+
 ## Set up using Python
 
 ### Create a new Python environment
@@ -32,11 +36,14 @@ Note: Pre-built wheels are currently only available for vLLM-Omni 0.11.0rc1, 0.1
 
     --8<-- "docs/getting_started/installation/gpu/cuda.inc.md:pre-built-wheels"
 
-
 === "AMD ROCm"
 
     --8<-- "docs/getting_started/installation/gpu/rocm.inc.md:pre-built-wheels"
 
+=== "Intel XPU"
+
+    --8<-- "docs/getting_started/installation/gpu/xpu.inc.md:pre-built-wheels"
+
 [](){ #build-from-source }
 
 ### Build wheel from source
@@ -49,6 +56,10 @@ Note: Pre-built wheels are currently only available for vLLM-Omni 0.11.0rc1, 0.1
 
     --8<-- "docs/getting_started/installation/gpu/rocm.inc.md:build-wheel-from-source"
 
+=== "Intel XPU"
+
+    --8<-- "docs/getting_started/installation/gpu/xpu.inc.md:build-wheel-from-source"
+
 ## Set up using Docker
 
 ### Pre-built images
@@ -61,8 +72,16 @@ Note: Pre-built wheels are currently only available for vLLM-Omni 0.11.0rc1, 0.1
 
     --8<-- "docs/getting_started/installation/gpu/rocm.inc.md:pre-built-images"
 
+=== "Intel XPU"
+
+    --8<-- "docs/getting_started/installation/gpu/xpu.inc.md:pre-built-images"
+
 ### Build your own docker image
 
 === "AMD ROCm"
 
     --8<-- "docs/getting_started/installation/gpu/rocm.inc.md:build-docker"
+
+=== "Intel XPU"
+
+    --8<-- "docs/getting_started/installation/gpu/xpu.inc.md:build-docker"

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

@@ -0,0 +1,48 @@
+# --8<-- [start:requirements]
+
+- GPU: Validated on Intel® Arc™ B-Series.
+
+# --8<-- [end:requirements]
+# --8<-- [start:set-up-using-python]
+
+vLLM-Omni currently recommends using the Docker image setup steps below.
+
+# --8<-- [start:pre-built-wheels]
+
+# --8<-- [end:pre-built-wheels]
+
+# --8<-- [start:build-wheel-from-source]
+
+# --8<-- [end:build-wheel-from-source]
+
+# --8<-- [start:build-docker]
+
+#### Build docker image
+
+```bash
+DOCKER_BUILDKIT=1 docker build -f docker/Dockerfile.xpu -t vllm-omni-xpu --shm-size=4g .
+```
+
+#### Launch the docker image
+
+##### Launch with OpenAI API Server
+
+```
+docker run -it -d --shm-size 10g \
+  --name {container_name} \
+  --net=host \
+  --ipc=host \
+  --privileged \
+  -v /dev/dri/by-path:/dev/dri/by-path \
+  --device /dev/dri:/dev/dri \
+  -v ~/.cache/huggingface:/root/.cache/huggingface \
+  --env "HF_TOKEN=$HF_TOKEN" \
+  vllm-omni-xpu \
+  --model Qwen/Qwen2.5-Omni-3B --port 8091
+```
+
+# --8<-- [end:build-docker]
+
+# --8<-- [start:pre-built-images]
+
+# --8<-- [end:pre-built-images]