Update Dockerfiles and documentation for v0.14.1 release

.cd/Dockerfile.rhel.tenc.pytorch.vllm

@@ -13,9 +13,9 @@ ARG TORCH_TYPE_SUFFIX
 FROM ${DOCKER_URL}/${VERSION}/${BASE_NAME}/${REPO_TYPE}/pytorch-${TORCH_TYPE_SUFFIX}installer-${PT_VERSION}:${REVISION}
 
 # Parameterize commit/branch for vllm-plugin checkout
-ARG VLLM_GAUDI_COMMIT=main
+ARG VLLM_GAUDI_COMMIT=v0.14.1
 # leave empty to use last-good-commit-for-vllm-gaudi
-ARG VLLM_PROJECT_COMMIT=
+ARG VLLM_PROJECT_COMMIT=v0.14.1
 
 ARG BASE_NAME
 ENV BASE_NAME=${BASE_NAME}

.cd/Dockerfile.rhel.ubi.vllm

@@ -9,8 +9,8 @@ ARG BASE_NAME=rhel9.6
 ARG PT_VERSION=2.9.0
 # can be upstream or fork
 ARG TORCH_TYPE=upstream
-ARG VLLM_GAUDI_COMMIT=main
-ARG VLLM_PROJECT_COMMIT=
+ARG VLLM_GAUDI_COMMIT=v0.14.1
+ARG VLLM_PROJECT_COMMIT=v0.14.1
 
 # ============================================================================
 # Stage 1: gaudi-base - Base system setup with Habana drivers

.cd/Dockerfile.ubuntu.pytorch.vllm

@@ -13,9 +13,8 @@ ARG TORCH_TYPE_SUFFIX
 FROM ${DOCKER_URL}/${VERSION}/${BASE_NAME}/${REPO_TYPE}/pytorch-${TORCH_TYPE_SUFFIX}installer-${PT_VERSION}:${REVISION}
 
 # Parameterize commit/branch for vllm-project & vllm-gaudi checkout
-ARG VLLM_GAUDI_COMMIT=main
-# leave empty to use last-good-commit-for-vllm-gaudi
-ARG VLLM_PROJECT_COMMIT=
+ARG VLLM_GAUDI_COMMIT=v0.14.1
+ARG VLLM_PROJECT_COMMIT=v0.14.1
 ENV OMPI_MCA_btl_vader_single_copy_mechanism=none
 
 RUN apt update && \

.cd/Dockerfile.ubuntu.pytorch.vllm.nixl.latest

@@ -14,8 +14,8 @@ FROM ${DOCKER_URL}/${VERSION}/${BASE_NAME}/${REPO_TYPE}/pytorch-${TORCH_TYPE_SUF
 
 # Parameterize commit/branch for vllm-project & vllm-gaudi checkout
 # leave empty to use last-good-commit-for-vllm-gaudi
-ARG VLLM_PROJECT_COMMIT=
-ARG VLLM_GAUDI_COMMIT=main
+ARG VLLM_PROJECT_COMMIT=v0.14.1
+ARG VLLM_GAUDI_COMMIT=v0.14.1
 
 ENV OMPI_MCA_btl_vader_single_copy_mechanism=none
 
@@ -47,7 +47,7 @@ RUN \
        echo "Using vLLM commit : ${VLLM_PROJECT_COMMIT}"; \
     fi && \
     mkdir -p $VLLM_PATH && \
-    # Clone vllm-project/vllm and use configured or last good commit hash    
+    # Clone vllm-project/vllm and use configured or last good commit hash
     git clone https://github.com/vllm-project/vllm.git $VLLM_PATH && \
     cd $VLLM_PATH && \
     git remote add upstream https://github.com/vllm-project/vllm.git && \

docs/getting_started/compatibility_matrix.md

@@ -5,8 +5,8 @@ title: Compatibility Matrix
 
 The following table detail the supported vLLM versions for Intel® Gaudi® 2 and Intel® Gaudi® 3 AI accelerators.
 
-| Intel Gaudi Software | vLLM v0.10.0 | vLLM v0.10.1 | vLLM v0.11.2 |  vLLM v0.12.0  |
+| Intel Gaudi Software | vLLM v0.10.1 | vLLM v0.11.2 | vLLM v0.13.0 |  vLLM v0.14.1  |
 | :------------------- | :----------: | :----------: | :----------: | :------------: |
-| 1.22.1               |   ✅ Alfa    |   ✅ Beta    |      ❌      |       ❌       |
-| 1.22.2               |      ❌      |      ❌      |      ✅      |       ❌       |
-| 1.23.0               |      ❌      |      ❌      |      ❌      | In development |
+| 1.22.1               |   ✅ Beta    |   ❌    |      ❌      |       ❌       |
+| 1.22.2               |      ❌      |      ✅      |      ❌      |       ❌       |
+| 1.23.0               |      ❌      |      ✅      |      ✅      | ✅ |

docs/getting_started/installation.md

@@ -61,8 +61,8 @@ There are two ways to install vLLM Hardware Plugin for Intel® Gaudi® from sour
 
 2. Run the latest Docker image from the Intel® Gaudi® vault as in the following code sample. Make sure to provide your versions of vLLM Hardware Plugin for Intel® Gaudi®, operating system, and PyTorch. Ensure that these versions are supported, according to the [Support Matrix](https://docs.habana.ai/en/latest/Support_Matrix/Support_Matrix.html).
 
-        docker pull vault.habana.ai/gaudi-docker/1.23.0/ubuntu24.04/habanalabs/pytorch-installer-2.9.0:latest
-        docker run -it --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --net=host --ipc=host vault.habana.ai/gaudi-docker/1.23.0/ubuntu24.04/habanalabs/pytorch-installer-2.9.0:latest
+        docker pull vault.habana.ai/gaudi-docker/{{ VERSION }}/ubuntu24.04/habanalabs/pytorch-installer-{{ PT_VERSION }}:latest
+        docker run -it --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --net=host --ipc=host vault.habana.ai/gaudi-docker/{{ VERSION }}/ubuntu24.04/habanalabs/pytorch-installer-{{ PT_VERSION }}:latest
 
     For more information, see the [Intel Gaudi documentation](https://docs.habana.ai/en/latest/Installation_Guide/Bare_Metal_Fresh_OS.html#pull-prebuilt-containers).
 

docs/release_notes.md

@@ -2,6 +2,10 @@
 
 This document provides an overview of the features, changes, and fixes introduced in each release of the vLLM Hardware Plugin for Intel® Gaudi®.
 
+## 0.14.1
+
+This version is based on [vLLM 0.14.1](https://github.com/vllm-project/vllm/releases/tag/v0.14.1) and supports [Intel® Gaudi® v1.23.0](https://docs.habana.ai/en/v1.23.0/Release_Notes/GAUDI_Release_Notes.html).
+
 ## 0.13.0
 
 This version is based on [vLLM 0.13.0](https://github.com/vllm-project/vllm/releases/tag/v0.13.0) and supports [Intel® Gaudi® v1.23.0](https://docs.habana.ai/en/v1.23.0/Release_Notes/GAUDI_Release_Notes.html).