[XPU][Docker] Align XPU image and CI with vLLM v0.31.0 (#8528)

Signed-off-by: Joshna-Medisetty <joshna.medisetty@intel.com>

.buildkite/intel/pipeline-intel.yml

@@ -10,7 +10,7 @@ steps:
           DOCKER_BUILDKIT: "1"
           # Buildkite will automatically replace this with the actual commit hash
           VLLM_IMAGE_TAG: "${BUILDKITE_COMMIT}"
-          VLLM_VERSION: "v0.30.0"
+          VLLM_VERSION: "v0.31.0"
         priority: 100
         timeout_in_minutes: 60
         soft_fail: false

docker/Dockerfile.xpu

@@ -1,4 +1,4 @@
-# Target vLLM version: v0.30.0. Keep VLLM_VERSION aligned with the target vLLM
+# Target vLLM version: v0.31.0. Keep VLLM_VERSION aligned with the target vLLM
 # release on every rebase.
 #
 # This file layers vLLM-Omni on top of the published upstream XPU image, which
@@ -18,7 +18,7 @@
 #
 # .buildkite/intel/scripts/run-xpu-test.sh automates that pull-then-build fallback.
 ARG VLLM_BASE_IMAGE=vllm/vllm-openai-xpu
-ARG VLLM_VERSION=v0.30.0
+ARG VLLM_VERSION=v0.31.0
 ARG VLLM_BASE=${VLLM_BASE_IMAGE}:${VLLM_VERSION}
 
 FROM ${VLLM_BASE} AS vllm-omni

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

@@ -1,8 +1,11 @@
+<!-- markdownlint-disable MD001 MD025 -->
+
 # --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.
@@ -26,9 +29,8 @@ DOCKER_BUILDKIT=1 docker build -f docker/Dockerfile.xpu -t vllm-omni-xpu --shm-s
 ```
 
 This layers vLLM-Omni on top of the published `vllm/vllm-openai-xpu:<VLLM_VERSION>`
-base image, which Docker pulls automatically. The Dockerfile still defaults to
-v0.30.0; the command above explicitly selects v0.31.0 to match this source
-checkout. To target a different vLLM release, pass
+base image, which Docker pulls automatically. The Dockerfile defaults to
+v0.31.0. To target a different vLLM release, pass
 `--build-arg VLLM_VERSION=<tag>`. If that tag has not been published yet, build
 the base from upstream's own Dockerfile first and point the build at it:
 
@@ -44,7 +46,7 @@ DOCKER_BUILDKIT=1 docker build -f docker/Dockerfile.xpu -t vllm-omni-xpu --shm-s
 
 ##### Launch with OpenAI API Server
 
-```
+```bash
 docker run -it -d --shm-size 10g \
   --name {container_name} \
   --net=host \