Move dockerfiles into their own directory (#14549)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
2025-03-31 21:47:32 +01:00
parent f98a4920f9
commit e6e3c55ef2
34 changed files with 44 additions and 42 deletions
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -0,0 +1,317 @@
+# The vLLM Dockerfile is used to construct vLLM image that can be directly used
+# to run the OpenAI compatible server.
+
+# Please update any changes made here to
+# docs/source/contributing/dockerfile/dockerfile.md and
+# docs/source/assets/contributing/dockerfile-stages-dependency.png
+
+ARG CUDA_VERSION=12.4.1
+#################### BASE BUILD IMAGE ####################
+# prepare basic build environment
+FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu20.04 AS base
+ARG CUDA_VERSION=12.4.1
+ARG PYTHON_VERSION=3.12
+ARG TARGETPLATFORM
+ENV DEBIAN_FRONTEND=noninteractive
+
+# Install Python and other dependencies
+RUN echo 'tzdata tzdata/Areas select America' | debconf-set-selections \
+    && echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections \
+    && apt-get update -y \
+    && apt-get install -y ccache software-properties-common git curl sudo \
+    && add-apt-repository ppa:deadsnakes/ppa \
+    && apt-get update -y \
+    && apt-get install -y python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python${PYTHON_VERSION}-venv \
+    && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${PYTHON_VERSION} 1 \
+    && update-alternatives --set python3 /usr/bin/python${PYTHON_VERSION} \
+    && ln -sf /usr/bin/python${PYTHON_VERSION}-config /usr/bin/python3-config \
+    && curl -sS https://bootstrap.pypa.io/get-pip.py | python${PYTHON_VERSION} \
+    && python3 --version && python3 -m pip --version
+# Install uv for faster pip installs
+RUN --mount=type=cache,target=/root/.cache/uv \
+    python3 -m pip install uv
+
+# This timeout (in seconds) is necessary when installing some dependencies via uv since it's likely to time out
+# Reference: https://github.com/astral-sh/uv/pull/1694
+ENV UV_HTTP_TIMEOUT=500
+
+# Upgrade to GCC 10 to avoid https://gcc.gnu.org/bugzilla/show_bug.cgi?id=92519
+# as it was causing spam when compiling the CUTLASS kernels
+RUN apt-get install -y gcc-10 g++-10
+RUN update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-10 110 --slave /usr/bin/g++ g++ /usr/bin/g++-10
+RUN <<EOF
+gcc --version
+EOF
+
+# Workaround for https://github.com/openai/triton/issues/2507 and
+# https://github.com/pytorch/pytorch/issues/107960 -- hopefully
+# this won't be needed for future versions of this docker image
+# or future versions of triton.
+RUN ldconfig /usr/local/cuda-$(echo $CUDA_VERSION | cut -d. -f1,2)/compat/
+
+WORKDIR /workspace
+
+# install build and runtime dependencies
+
+# arm64 (GH200) build follows the practice of "use existing pytorch" build,
+# we need to install torch and torchvision from the nightly builds first,
+# pytorch will not appear as a vLLM dependency in all of the following steps
+# after this step
+RUN --mount=type=cache,target=/root/.cache/uv \
+    if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
+        uv pip install --system --index-url https://download.pytorch.org/whl/nightly/cu128 "torch==2.8.0.dev20250318+cu128" "torchvision==0.22.0.dev20250319";  \
+        uv pip install --system --index-url https://download.pytorch.org/whl/nightly/cu128 --pre pytorch_triton==3.3.0+gitab727c40; \
+    fi
+
+COPY requirements/common.txt requirements/common.txt
+COPY requirements/cuda.txt requirements/cuda.txt
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv pip install --system -r requirements/cuda.txt
+
+# cuda arch list used by torch
+# can be useful for both `dev` and `test`
+# explicitly set the list to avoid issues with torch 2.2
+# see https://github.com/pytorch/pytorch/pull/123243
+ARG torch_cuda_arch_list='7.0 7.5 8.0 8.6 8.9 9.0+PTX'
+ENV TORCH_CUDA_ARCH_LIST=${torch_cuda_arch_list}
+# Override the arch list for flash-attn to reduce the binary size
+ARG vllm_fa_cmake_gpu_arches='80-real;90-real'
+ENV VLLM_FA_CMAKE_GPU_ARCHES=${vllm_fa_cmake_gpu_arches}
+#################### BASE BUILD IMAGE ####################
+
+#################### WHEEL BUILD IMAGE ####################
+FROM base AS build
+ARG TARGETPLATFORM
+
+# install build dependencies
+COPY requirements/build.txt requirements/build.txt
+
+# This timeout (in seconds) is necessary when installing some dependencies via uv since it's likely to time out
+# Reference: https://github.com/astral-sh/uv/pull/1694
+ENV UV_HTTP_TIMEOUT=500
+
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv pip install --system -r requirements/build.txt
+
+COPY . .
+ARG GIT_REPO_CHECK=0
+RUN --mount=type=bind,source=.git,target=.git \
+    if [ "$GIT_REPO_CHECK" != "0" ]; then bash tools/check_repo.sh ; fi
+
+# max jobs used by Ninja to build extensions
+ARG max_jobs=2
+ENV MAX_JOBS=${max_jobs}
+# number of threads used by nvcc
+ARG nvcc_threads=8
+ENV NVCC_THREADS=$nvcc_threads
+
+ARG USE_SCCACHE
+ARG SCCACHE_BUCKET_NAME=vllm-build-sccache
+ARG SCCACHE_REGION_NAME=us-west-2
+ARG SCCACHE_S3_NO_CREDENTIALS=0
+# if USE_SCCACHE is set, use sccache to speed up compilation
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,source=.git,target=.git \
+    if [ "$USE_SCCACHE" = "1" ]; then \
+        echo "Installing sccache..." \
+        && curl -L -o sccache.tar.gz https://github.com/mozilla/sccache/releases/download/v0.8.1/sccache-v0.8.1-x86_64-unknown-linux-musl.tar.gz \
+        && tar -xzf sccache.tar.gz \
+        && sudo mv sccache-v0.8.1-x86_64-unknown-linux-musl/sccache /usr/bin/sccache \
+        && rm -rf sccache.tar.gz sccache-v0.8.1-x86_64-unknown-linux-musl \
+        && export SCCACHE_BUCKET=${SCCACHE_BUCKET_NAME} \
+        && export SCCACHE_REGION=${SCCACHE_REGION_NAME} \
+        && export SCCACHE_S3_NO_CREDENTIALS=${SCCACHE_S3_NO_CREDENTIALS} \
+        && export SCCACHE_IDLE_TIMEOUT=0 \
+        && export CMAKE_BUILD_TYPE=Release \
+        && sccache --show-stats \
+        && python3 setup.py bdist_wheel --dist-dir=dist --py-limited-api=cp38 \
+        && sccache --show-stats; \
+    fi
+
+ENV CCACHE_DIR=/root/.cache/ccache
+RUN --mount=type=cache,target=/root/.cache/ccache \
+    --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,source=.git,target=.git  \
+    if [ "$USE_SCCACHE" != "1" ]; then \
+        # Clean any existing CMake artifacts
+        rm -rf .deps && \
+        mkdir -p .deps && \
+        python3 setup.py bdist_wheel --dist-dir=dist --py-limited-api=cp38; \
+    fi
+
+# Check the size of the wheel if RUN_WHEEL_CHECK is true
+COPY .buildkite/check-wheel-size.py check-wheel-size.py
+# sync the default value with .buildkite/check-wheel-size.py
+ARG VLLM_MAX_SIZE_MB=400
+ENV VLLM_MAX_SIZE_MB=$VLLM_MAX_SIZE_MB
+ARG RUN_WHEEL_CHECK=true
+RUN if [ "$RUN_WHEEL_CHECK" = "true" ]; then \
+        python3 check-wheel-size.py dist; \
+    else \
+        echo "Skipping wheel size check."; \
+    fi
+#################### EXTENSION Build IMAGE ####################
+
+#################### DEV IMAGE ####################
+FROM base as dev
+
+# This timeout (in seconds) is necessary when installing some dependencies via uv since it's likely to time out
+# Reference: https://github.com/astral-sh/uv/pull/1694
+ENV UV_HTTP_TIMEOUT=500
+
+COPY requirements/lint.txt requirements/lint.txt
+COPY requirements/test.txt requirements/test.txt
+COPY requirements/dev.txt requirements/dev.txt
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv pip install --system -r requirements/dev.txt
+#################### DEV IMAGE ####################
+
+#################### vLLM installation IMAGE ####################
+# image with vLLM installed
+# TODO: Restore to base image after FlashInfer AOT wheel fixed
+FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu22.04 AS vllm-base
+ARG CUDA_VERSION=12.4.1
+ARG PYTHON_VERSION=3.12
+WORKDIR /vllm-workspace
+ENV DEBIAN_FRONTEND=noninteractive
+ARG TARGETPLATFORM
+
+RUN PYTHON_VERSION_STR=$(echo ${PYTHON_VERSION} | sed 's/\.//g') && \
+    echo "export PYTHON_VERSION_STR=${PYTHON_VERSION_STR}" >> /etc/environment
+
+# Install Python and other dependencies
+RUN echo 'tzdata tzdata/Areas select America' | debconf-set-selections \
+    && echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections \
+    && apt-get update -y \
+    && apt-get install -y ccache software-properties-common git curl wget sudo vim python3-pip \
+    && apt-get install -y ffmpeg libsm6 libxext6 libgl1 \
+    && add-apt-repository ppa:deadsnakes/ppa \
+    && apt-get update -y \
+    && apt-get install -y python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python${PYTHON_VERSION}-venv libibverbs-dev \
+    && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${PYTHON_VERSION} 1 \
+    && update-alternatives --set python3 /usr/bin/python${PYTHON_VERSION} \
+    && ln -sf /usr/bin/python${PYTHON_VERSION}-config /usr/bin/python3-config \
+    && curl -sS https://bootstrap.pypa.io/get-pip.py | python${PYTHON_VERSION} \
+    && python3 --version && python3 -m pip --version
+# Install uv for faster pip installs
+RUN --mount=type=cache,target=/root/.cache/uv \
+    python3 -m pip install uv
+
+# This timeout (in seconds) is necessary when installing some dependencies via uv since it's likely to time out
+# Reference: https://github.com/astral-sh/uv/pull/1694
+ENV UV_HTTP_TIMEOUT=500
+
+# Workaround for https://github.com/openai/triton/issues/2507 and
+# https://github.com/pytorch/pytorch/issues/107960 -- hopefully
+# this won't be needed for future versions of this docker image
+# or future versions of triton.
+RUN ldconfig /usr/local/cuda-$(echo $CUDA_VERSION | cut -d. -f1,2)/compat/
+
+# arm64 (GH200) build follows the practice of "use existing pytorch" build,
+# we need to install torch and torchvision from the nightly builds first,
+# pytorch will not appear as a vLLM dependency in all of the following steps
+# after this step
+RUN --mount=type=cache,target=/root/.cache/uv \
+    if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
+        uv pip install --system --index-url https://download.pytorch.org/whl/nightly/cu128 "torch==2.8.0.dev20250318+cu128" "torchvision==0.22.0.dev20250319";  \
+        uv pip install --system --index-url https://download.pytorch.org/whl/nightly/cu128 --pre pytorch_triton==3.3.0+gitab727c40; \
+    fi
+
+# Install vllm wheel first, so that torch etc will be installed.
+RUN --mount=type=bind,from=build,src=/workspace/dist,target=/vllm-workspace/dist \
+    --mount=type=cache,target=/root/.cache/uv \
+    uv pip install --system dist/*.whl --verbose
+
+# If we need to build FlashInfer wheel before its release:
+# $ export FLASHINFER_ENABLE_AOT=1
+# $ # Note we remove 7.0 from the arch list compared to the list below, since FlashInfer only supports sm75+
+# $ export TORCH_CUDA_ARCH_LIST='7.5 8.0 8.6 8.9 9.0+PTX'
+# $ git clone https://github.com/flashinfer-ai/flashinfer.git --recursive
+# $ cd flashinfer
+# $ git checkout 524304395bd1d8cd7d07db083859523fcaa246a4
+# $ rm -rf build
+# $ python3 setup.py bdist_wheel --dist-dir=dist --verbose
+# $ ls dist
+# $ # upload the wheel to a public location, e.g. https://wheels.vllm.ai/flashinfer/524304395bd1d8cd7d07db083859523fcaa246a4/flashinfer_python-0.2.1.post1+cu124torch2.5-cp38-abi3-linux_x86_64.whl
+
+RUN --mount=type=cache,target=/root/.cache/uv \
+. /etc/environment && \
+if [ "$TARGETPLATFORM" != "linux/arm64" ]; then \
+    uv pip install --system https://github.com/flashinfer-ai/flashinfer/releases/download/v0.2.1.post2/flashinfer_python-0.2.1.post2+cu124torch2.6-cp38-abi3-linux_x86_64.whl ; \
+fi
+COPY examples examples
+
+# Although we build Flashinfer with AOT mode, there's still
+# some issues w.r.t. JIT compilation. Therefore we need to
+# install build dependencies for JIT compilation.
+# TODO: Remove this once FlashInfer AOT wheel is fixed
+COPY requirements/build.txt requirements/build.txt
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv pip install --system -r requirements/build.txt
+
+#################### vLLM installation IMAGE ####################
+
+#################### TEST IMAGE ####################
+# image to run unit testing suite
+# note that this uses vllm installed by `pip`
+FROM vllm-base AS test
+
+ADD . /vllm-workspace/
+
+# This timeout (in seconds) is necessary when installing some dependencies via uv since it's likely to time out
+# Reference: https://github.com/astral-sh/uv/pull/1694
+ENV UV_HTTP_TIMEOUT=500
+
+# install development dependencies (for testing)
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv pip install --system -r requirements/dev.txt
+
+# install development dependencies (for testing)
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv pip install --system -e tests/vllm_test_utils
+
+# enable fast downloads from hf (for testing)
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv pip install --system hf_transfer
+ENV HF_HUB_ENABLE_HF_TRANSFER 1
+
+# Copy in the v1 package for testing (it isn't distributed yet)
+COPY vllm/v1 /usr/local/lib/python3.12/dist-packages/vllm/v1
+
+# doc requires source code
+# we hide them inside `test_docs/` , so that this source code
+# will not be imported by other tests
+RUN mkdir test_docs
+RUN mv docs test_docs/
+RUN mv vllm test_docs/
+#################### TEST IMAGE ####################
+
+#################### OPENAI API SERVER ####################
+# base openai image with additional requirements, for any subsequent openai-style images
+FROM vllm-base AS vllm-openai-base
+
+# This timeout (in seconds) is necessary when installing some dependencies via uv since it's likely to time out
+# Reference: https://github.com/astral-sh/uv/pull/1694
+ENV UV_HTTP_TIMEOUT=500
+
+# install additional dependencies for openai api server
+RUN --mount=type=cache,target=/root/.cache/uv \
+    if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
+        uv pip install --system accelerate hf_transfer 'modelscope!=1.15.0' 'bitsandbytes>=0.42.0' 'timm==0.9.10' boto3 runai-model-streamer runai-model-streamer[s3]; \
+    else \
+        uv pip install --system accelerate hf_transfer 'modelscope!=1.15.0' 'bitsandbytes>=0.45.3' 'timm==0.9.10' boto3 runai-model-streamer runai-model-streamer[s3]; \
+    fi
+
+ENV VLLM_USAGE_SOURCE production-docker-image
+
+# define sagemaker first, so it is not default from `docker build`
+FROM vllm-openai-base AS vllm-sagemaker
+
+COPY examples/online_serving/sagemaker-entrypoint.sh .
+RUN chmod +x sagemaker-entrypoint.sh
+ENTRYPOINT ["./sagemaker-entrypoint.sh"]
+
+FROM vllm-openai-base AS vllm-openai
+
+ENTRYPOINT ["python3", "-m", "vllm.entrypoints.openai.api_server"]
+#################### OPENAI API SERVER ####################
--- a/docker/Dockerfile.arm
+++ b/docker/Dockerfile.arm
@@ -0,0 +1,62 @@
+# This vLLM Dockerfile is used to construct an image that can build and run vLLM on ARM CPU platform.
+
+FROM ubuntu:22.04 AS cpu-test-arm
+
+ENV CCACHE_DIR=/root/.cache/ccache
+
+ENV CMAKE_CXX_COMPILER_LAUNCHER=ccache
+
+RUN --mount=type=cache,target=/var/cache/apt \
+    apt-get update -y \
+    && apt-get install -y curl ccache git wget vim numactl gcc-12 g++-12 python3 python3-pip libtcmalloc-minimal4 libnuma-dev \
+    && apt-get install -y ffmpeg libsm6 libxext6 libgl1 \
+    && update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-12 10 --slave /usr/bin/g++ g++ /usr/bin/g++-12
+
+# tcmalloc provides better memory allocation efficiency, e.g., holding memory in caches to speed up access of commonly-used objects.
+RUN --mount=type=cache,target=/root/.cache/pip \
+    pip install py-cpuinfo  # Use this to gather CPU info and optimize based on ARM Neoverse cores
+
+# Set LD_PRELOAD for tcmalloc on ARM
+ENV LD_PRELOAD="/usr/lib/aarch64-linux-gnu/libtcmalloc_minimal.so.4"
+
+RUN echo 'ulimit -c 0' >> ~/.bashrc
+
+WORKDIR /workspace
+
+ARG PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/cpu"
+ENV PIP_EXTRA_INDEX_URL=${PIP_EXTRA_INDEX_URL}
+RUN --mount=type=cache,target=/root/.cache/pip \
+    --mount=type=bind,src=requirements/build.txt,target=requirements/build.txt \
+    pip install --upgrade pip && \
+    pip install -r requirements/build.txt
+
+FROM cpu-test-arm AS build
+
+WORKDIR /workspace/vllm
+
+RUN --mount=type=cache,target=/root/.cache/pip \
+    --mount=type=bind,src=requirements/common.txt,target=requirements/common.txt \
+    --mount=type=bind,src=requirements/cpu.txt,target=requirements/cpu.txt \
+    pip install -v -r requirements/cpu.txt
+
+COPY . .
+ARG GIT_REPO_CHECK=0
+RUN --mount=type=bind,source=.git,target=.git \
+    if [ "$GIT_REPO_CHECK" != 0 ]; then bash tools/check_repo.sh ; fi
+
+# Disabling AVX512 specific optimizations for ARM
+ARG VLLM_CPU_DISABLE_AVX512="true"
+ENV VLLM_CPU_DISABLE_AVX512=${VLLM_CPU_DISABLE_AVX512}
+
+RUN --mount=type=cache,target=/root/.cache/pip \
+    --mount=type=cache,target=/root/.cache/ccache \
+    --mount=type=bind,source=.git,target=.git \
+    VLLM_TARGET_DEVICE=cpu python3 setup.py bdist_wheel && \
+    pip install dist/*.whl && \
+    rm -rf dist
+
+WORKDIR /workspace/
+
+RUN ln -s /workspace/vllm/tests && ln -s /workspace/vllm/examples && ln -s /workspace/vllm/benchmarks
+
+ENTRYPOINT ["python3", "-m", "vllm.entrypoints.openai.api_server"]
--- a/docker/Dockerfile.cpu
+++ b/docker/Dockerfile.cpu
@@ -0,0 +1,138 @@
+# This vLLM Dockerfile is used to construct image that can build and run vLLM on x86 CPU platform.
+#
+# Build targets:
+#   vllm-openai (default): used for serving deployment
+#   vllm-test: used for CI tests
+#   vllm-dev: used for development
+#
+# Build arguments:
+#   PYTHON_VERSION=3.12 (default)|3.11|3.10|3.9
+#   VLLM_CPU_DISABLE_AVX512=false (default)|true
+#
+
+######################### BASE IMAGE #########################
+FROM ubuntu:22.04 AS base
+
+WORKDIR /workspace/
+
+ARG PYTHON_VERSION=3.12
+ARG PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/cpu"
+
+# Install minimal dependencies and uv
+RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
+    --mount=type=cache,target=/var/lib/apt,sharing=locked \
+    apt-get update -y \
+    && apt-get install -y --no-install-recommends ccache git curl wget ca-certificates \
+        gcc-12 g++-12 libtcmalloc-minimal4 libnuma-dev ffmpeg libsm6 libxext6 libgl1 \
+    && update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-12 10 --slave /usr/bin/g++ g++ /usr/bin/g++-12 \
+    && curl -LsSf https://astral.sh/uv/install.sh | sh
+
+ENV CCACHE_DIR=/root/.cache/ccache
+ENV CMAKE_CXX_COMPILER_LAUNCHER=ccache
+
+ENV PATH="/root/.local/bin:$PATH"
+ENV VIRTUAL_ENV="/opt/venv"
+RUN uv venv --python ${PYTHON_VERSION} --seed ${VIRTUAL_ENV}
+ENV PATH="$VIRTUAL_ENV/bin:$PATH"
+
+ENV UV_HTTP_TIMEOUT=500
+
+# Install Python dependencies 
+ENV PIP_EXTRA_INDEX_URL=${PIP_EXTRA_INDEX_URL}
+ENV UV_EXTRA_INDEX_URL=${PIP_EXTRA_INDEX_URL}
+ENV UV_INDEX_STRATEGY="unsafe-best-match"
+ENV UV_LINK_MODE="copy"
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,src=requirements/common.txt,target=requirements/common.txt \
+    --mount=type=bind,src=requirements/cpu.txt,target=requirements/cpu.txt \
+    uv pip install --upgrade pip && \
+    uv pip install -r requirements/cpu.txt
+
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv pip install intel-openmp==2024.2.1 intel_extension_for_pytorch==2.6.0
+
+ENV LD_PRELOAD="/usr/lib/x86_64-linux-gnu/libtcmalloc_minimal.so.4:/opt/venv/lib/libiomp5.so:$LD_PRELOAD"
+
+RUN echo 'ulimit -c 0' >> ~/.bashrc
+
+######################### BUILD IMAGE #########################
+FROM base AS vllm-build
+
+ARG GIT_REPO_CHECK=0
+# Support for building with non-AVX512 vLLM: docker build --build-arg VLLM_CPU_DISABLE_AVX512="true" ...
+ARG VLLM_CPU_DISABLE_AVX512
+ENV VLLM_CPU_DISABLE_AVX512=${VLLM_CPU_DISABLE_AVX512}
+
+WORKDIR /workspace/vllm
+
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,src=requirements/build.txt,target=requirements/build.txt \
+    uv pip install -r requirements/build.txt
+
+COPY . .
+RUN --mount=type=bind,source=.git,target=.git \
+    if [ "$GIT_REPO_CHECK" != 0 ]; then bash tools/check_repo.sh ; fi
+
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=cache,target=/root/.cache/ccache \
+    --mount=type=bind,source=.git,target=.git \
+    VLLM_TARGET_DEVICE=cpu python3 setup.py bdist_wheel 
+
+######################### DEV IMAGE #########################
+FROM vllm-build AS vllm-dev
+
+WORKDIR /workspace/vllm
+
+RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
+    --mount=type=cache,target=/var/lib/apt,sharing=locked \
+    apt-get install -y --no-install-recommends vim numactl
+
+# install development dependencies (for testing)
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv pip install -e tests/vllm_test_utils 
+
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=cache,target=/root/.cache/ccache \
+    --mount=type=bind,source=.git,target=.git \
+    VLLM_TARGET_DEVICE=cpu python3 setup.py develop 
+
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv pip install -r requirements/dev.txt && \
+    pre-commit install --hook-type pre-commit --hook-type commit-msg
+
+ENTRYPOINT ["bash"]
+
+######################### TEST IMAGE #########################
+FROM base AS vllm-test
+
+WORKDIR /workspace/
+
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,src=requirements/test.txt,target=requirements/test.txt \
+    uv pip install -r requirements/test.txt
+
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,from=vllm-build,src=/workspace/vllm/dist,target=dist \
+    uv pip install dist/*.whl
+
+ADD ./tests/ ./tests/
+ADD ./examples/ ./examples/
+ADD ./benchmarks/ ./benchmarks/
+
+# install development dependencies (for testing)
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv pip install -e tests/vllm_test_utils 
+
+ENTRYPOINT ["bash"]
+
+######################### RELEASE IMAGE #########################
+FROM base AS vllm-openai
+
+WORKDIR /workspace/
+
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=cache,target=/root/.cache/ccache \
+    --mount=type=bind,from=vllm-build,src=/workspace/vllm/dist,target=dist \
+    uv pip install dist/*.whl
+
+ENTRYPOINT ["python3", "-m", "vllm.entrypoints.openai.api_server"]
--- a/docker/Dockerfile.hpu
+++ b/docker/Dockerfile.hpu
@@ -0,0 +1,21 @@
+FROM vault.habana.ai/gaudi-docker/1.19.1/ubuntu22.04/habanalabs/pytorch-installer-2.5.1:latest
+
+COPY ./ /workspace/vllm
+
+WORKDIR /workspace/vllm
+
+RUN pip install -v -r requirements/hpu.txt
+
+ENV no_proxy=localhost,127.0.0.1
+ENV PT_HPU_ENABLE_LAZY_COLLECTIVES=true
+
+RUN VLLM_TARGET_DEVICE=hpu python3 setup.py install
+
+# install development dependencies (for testing)
+RUN python3 -m pip install -e tests/vllm_test_utils
+
+WORKDIR /workspace/
+
+RUN ln -s /workspace/vllm/tests && ln -s /workspace/vllm/examples && ln -s /workspace/vllm/benchmarks
+
+ENTRYPOINT ["python3", "-m", "vllm.entrypoints.openai.api_server"]
--- a/docker/Dockerfile.neuron
+++ b/docker/Dockerfile.neuron
@@ -0,0 +1,55 @@
+# default base image
+# https://gallery.ecr.aws/neuron/pytorch-inference-neuronx
+ARG BASE_IMAGE="public.ecr.aws/neuron/pytorch-inference-neuronx:2.5.1-neuronx-py310-sdk2.21.0-ubuntu22.04"
+
+FROM $BASE_IMAGE
+
+RUN echo "Base image is $BASE_IMAGE"
+
+# Install some basic utilities
+RUN apt-get update && \
+    apt-get install -y \
+        git \
+        python3 \
+        python3-pip \
+        ffmpeg libsm6 libxext6 libgl1
+
+### Mount Point ###
+# When launching the container, mount the code directory to /workspace
+ARG APP_MOUNT=/workspace
+VOLUME [ ${APP_MOUNT} ]
+WORKDIR ${APP_MOUNT}/vllm
+
+RUN python3 -m pip install --upgrade pip
+RUN python3 -m pip install --no-cache-dir fastapi ninja tokenizers pandas
+RUN python3 -m pip install sentencepiece transformers==4.45.2 -U
+RUN python3 -m pip install neuronx-cc==2.16.345.0 --extra-index-url=https://pip.repos.neuron.amazonaws.com -U
+RUN python3 -m pip install pytest
+
+# uninstall transformers-neuronx package explicitly to avoid version conflict
+RUN python3 -m pip uninstall -y transformers-neuronx
+
+COPY . .
+ARG GIT_REPO_CHECK=0
+RUN --mount=type=bind,source=.git,target=.git \
+    if [ "$GIT_REPO_CHECK" != 0 ]; then bash tools/check_repo.sh ; fi
+
+RUN python3 -m pip install -U \
+        'cmake>=3.26' ninja packaging 'setuptools-scm>=8' wheel jinja2 \
+        -r requirements/neuron.txt
+
+ENV VLLM_TARGET_DEVICE neuron
+RUN --mount=type=bind,source=.git,target=.git \
+    pip install --no-build-isolation -v -e .
+
+# install development dependencies (for testing)
+RUN python3 -m pip install -e tests/vllm_test_utils
+
+# install transformers-neuronx package as an optional dependencies (for V0)
+# FIXME: `--no-deps` argument is temporarily added to resolve transformers package version conflict
+RUN python3 -m pip install transformers-neuronx==0.13.* --extra-index-url=https://pip.repos.neuron.amazonaws.com -U --no-deps
+
+# overwrite entrypoint to run bash script
+RUN echo "import subprocess; import sys; subprocess.check_call(sys.argv[1:])" > /usr/local/bin/dockerd-entrypoint.py
+
+CMD ["/bin/bash"]
--- a/docker/Dockerfile.ppc64le
+++ b/docker/Dockerfile.ppc64le
@@ -0,0 +1,267 @@
+ARG BASE_UBI_IMAGE_TAG=9.5-1741850109
+
+###############################################################
+# base stage with basic dependencies
+###############################################################
+
+FROM registry.access.redhat.com/ubi9/ubi-minimal:${BASE_UBI_IMAGE_TAG} AS base-builder
+
+ARG PYTHON_VERSION=3.12
+ARG OPENBLAS_VERSION=0.3.29
+
+# Set Environment Variables for venv, cargo & openblas
+ENV VIRTUAL_ENV=/opt/vllm
+ENV PATH=${VIRTUAL_ENV}/bin:/root/.cargo/bin:$PATH
+ENV PKG_CONFIG_PATH=/usr/local/lib/pkgconfig/
+ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib64:/usr/local/lib:/usr/lib64:/usr/lib
+ENV UV_LINK_MODE=copy
+
+# install gcc-13, python, rust, openblas
+# Note: A symlink for libatomic.so is created for gcc-13 (linker fails to find libatomic otherwise - reqd. for sentencepiece)
+# Note: A dummy file 'control' is created in /tmp/ to artificially create dependencies between stages when building stages in parallel
+#       when `--jobs=<N>` is passed with podman build command
+RUN microdnf install -y openssl-devel dnf \
+    && dnf install -y https://mirror.stream.centos.org/9-stream/BaseOS/`arch`/os/Packages/centos-gpg-keys-9.0-24.el9.noarch.rpm \
+        https://mirror.stream.centos.org/9-stream/BaseOS/`arch`/os/Packages/centos-stream-repos-9.0-24.el9.noarch.rpm \
+        https://dl.fedoraproject.org/pub/epel/epel-release-latest-9.noarch.rpm \
+    && dnf config-manager --add-repo https://mirror.stream.centos.org/9-stream/BaseOS/`arch`/os \
+    && dnf config-manager --add-repo https://mirror.stream.centos.org/9-stream/AppStream/`arch`/os \
+    && dnf config-manager --set-enabled crb \
+    && dnf install -y \
+       git tar gcc-toolset-13 automake libtool numactl-devel lapack-devel \
+       pkgconfig xsimd zeromq-devel kmod findutils protobuf* \
+       libtiff-devel libjpeg-devel openjpeg2-devel zlib-devel \
+       freetype-devel lcms2-devel libwebp-devel tcl-devel tk-devel \
+       harfbuzz-devel fribidi-devel libraqm-devel libimagequant-devel libxcb-devel \
+       python${PYTHON_VERSION}-devel python${PYTHON_VERSION}-pip \
+    && dnf clean all \
+    && ln -sf /usr/lib64/libatomic.so.1 /usr/lib64/libatomic.so \
+    && python${PYTHON_VERSION} -m venv ${VIRTUAL_ENV} \
+    && python -m pip install -U pip uv \
+    && uv pip install wheel build "setuptools<70" setuptools_scm setuptools_rust meson-python cmake ninja cython scikit_build_core scikit_build \
+    && curl -sL https://ftp2.osuosl.org/pub/ppc64el/openblas/latest/Openblas_${OPENBLAS_VERSION}_ppc64le.tar.gz | tar xvf - -C /usr/local \
+    && curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y \
+    && cd /tmp && touch control
+
+###############################################################
+# Stage to build torch family
+###############################################################
+
+FROM base-builder AS torch-builder
+
+ARG MAX_JOBS
+ARG TORCH_VERSION=2.6.0
+ARG _GLIBCXX_USE_CXX11_ABI=1
+RUN --mount=type=cache,target=/root/.cache/uv \
+    source /opt/rh/gcc-toolset-13/enable &&  \
+    git clone --recursive https://github.com/pytorch/pytorch.git -b v${TORCH_VERSION} && \
+    cd pytorch && \
+    uv pip install -r requirements.txt && \
+    python setup.py develop && \
+    rm -f dist/torch*+git*whl && \
+    MAX_JOBS=${MAX_JOBS:-$(nproc)} \
+    PYTORCH_BUILD_VERSION=${TORCH_VERSION} PYTORCH_BUILD_NUMBER=1 uv build --wheel --out-dir /torchwheels/
+
+ARG TORCHVISION_VERSION=0.21.0
+ARG TORCHVISION_USE_NVJPEG=0
+ARG TORCHVISION_USE_FFMPEG=0
+RUN --mount=type=cache,target=/root/.cache/uv \
+    source /opt/rh/gcc-toolset-13/enable && \
+    git clone --recursive https://github.com/pytorch/vision.git -b v${TORCHVISION_VERSION} && \
+    cd vision && \
+    MAX_JOBS=${MAX_JOBS:-$(nproc)} \
+    BUILD_VERSION=${TORCHVISION_VERSION} \
+    uv build --wheel --out-dir /torchwheels/ --no-build-isolation
+
+ARG TORCHAUDIO_VERSION=2.6.0
+ARG BUILD_SOX=1
+ARG BUILD_KALDI=1
+ARG BUILD_RNNT=1
+ARG USE_FFMPEG=0
+ARG USE_ROCM=0
+ARG USE_CUDA=0
+ARG TORCHAUDIO_TEST_ALLOW_SKIP_IF_NO_FFMPEG=1
+RUN --mount=type=cache,target=/root/.cache/uv \
+    source /opt/rh/gcc-toolset-13/enable && \
+    git clone --recursive https://github.com/pytorch/audio.git -b v${TORCHAUDIO_VERSION} && \
+    cd audio && \
+    MAX_JOBS=${MAX_JOBS:-$(nproc)} \
+    BUILD_VERSION=${TORCHAUDIO_VERSION} \
+    uv build --wheel --out-dir /torchwheels/ --no-build-isolation
+
+###############################################################
+# Stage to build pyarrow
+###############################################################
+
+FROM base-builder AS arrow-builder
+
+ARG MAX_JOBS
+ARG PYARROW_PARALLEL
+ARG PYARROW_VERSION=19.0.1
+RUN --mount=type=cache,target=/root/.cache/uv \
+    source /opt/rh/gcc-toolset-13/enable && \
+    git clone --recursive https://github.com/apache/arrow.git -b apache-arrow-${PYARROW_VERSION} && \
+    cd arrow/cpp && \
+    mkdir build && cd build && \
+    cmake -DCMAKE_BUILD_TYPE=release \
+        -DCMAKE_INSTALL_PREFIX=/usr/local \
+        -DARROW_PYTHON=ON \
+        -DARROW_BUILD_TESTS=OFF \
+        -DARROW_JEMALLOC=ON \
+        -DARROW_BUILD_STATIC="OFF" \
+        -DARROW_PARQUET=ON \
+        .. && \
+    make install -j ${MAX_JOBS:-$(nproc)} && \
+    cd ../../python/ && \
+    uv pip install -v -r requirements-wheel-build.txt && \
+    PYARROW_PARALLEL=${PYARROW_PARALLEL:-$(nproc)} \
+    python setup.py build_ext \
+    --build-type=release --bundle-arrow-cpp \
+    bdist_wheel --dist-dir /arrowwheels/
+
+###############################################################
+# Stage to build opencv
+###############################################################
+
+FROM base-builder AS cv-builder
+
+ARG MAX_JOBS
+ARG OPENCV_VERSION=84
+ARG ENABLE_HEADLESS=1
+RUN --mount=type=cache,target=/root/.cache/uv \
+    source /opt/rh/gcc-toolset-13/enable && \
+    git clone --recursive https://github.com/opencv/opencv-python.git -b ${OPENCV_VERSION} && \
+    cd opencv-python && \
+    sed -i 's/"setuptools==59.2.0",/"setuptools<70.0",/g' pyproject.toml && \
+    python -m build --wheel --installer=uv --outdir /opencvwheels/
+
+###############################################################
+# Stage to build vllm - this stage builds and installs
+# vllm, tensorizer and vllm-tgis-adapter and builds uv cache
+# for transitive dependencies - eg. grpcio
+###############################################################
+
+FROM base-builder AS vllmcache-builder
+
+COPY --from=torch-builder /tmp/control /dev/null
+COPY --from=arrow-builder /tmp/control /dev/null
+COPY --from=cv-builder /tmp/control /dev/null
+
+ARG VLLM_TARGET_DEVICE=cpu
+
+# this step installs vllm and populates uv cache
+# with all the transitive dependencies
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,from=torch-builder,source=/torchwheels/,target=/torchwheels/,ro \
+    --mount=type=bind,from=arrow-builder,source=/arrowwheels/,target=/arrowwheels/,ro \
+    --mount=type=bind,from=cv-builder,source=/opencvwheels/,target=/opencvwheels/,ro \
+    --mount=type=bind,src=.,dst=/src/,rw \
+    source /opt/rh/gcc-toolset-13/enable && \
+    uv pip install /opencvwheels/*.whl /arrowwheels/*.whl /torchwheels/*.whl && \
+    sed -i -e 's/.*torch.*//g' /src/pyproject.toml /src/requirements/*.txt && \
+    uv pip install pandas pythran pybind11 && \
+    # sentencepiece.pc is in some pkgconfig inside uv cache
+    export PKG_CONFIG_PATH=$(find / -type d -name "pkgconfig" 2>/dev/null | tr '\n' ':') && \
+    uv pip install -r /src/requirements/common.txt -r /src/requirements/cpu.txt -r /src/requirements/build.txt --no-build-isolation && \
+    cd /src/ && \
+    uv build --wheel --out-dir /vllmwheel/ --no-build-isolation && \
+    uv pip install /vllmwheel/*.whl
+
+
+###############################################################
+# Stage to build numactl
+###############################################################
+
+FROM base-builder AS numa-builder
+
+# Note: Building numactl with gcc-11. Compiling with gcc-13 in this builder stage will
+# trigger recompilation with gcc-11 (and require libtool) in the final stage where we do not have gcc-13
+ARG MAX_JOBS
+ARG NUMACTL_VERSION=2.0.19
+RUN git clone --recursive https://github.com/numactl/numactl.git -b v${NUMACTL_VERSION} \
+    && cd numactl \
+    && autoreconf -i && ./configure \
+    && make -j ${MAX_JOBS:-$(nproc)}
+
+###############################################################
+# Stage to build lapack
+###############################################################
+
+FROM base-builder AS lapack-builder
+
+ARG MAX_JOBS
+ARG LAPACK_VERSION=3.12.1
+RUN git clone --recursive https://github.com/Reference-LAPACK/lapack.git -b v${LAPACK_VERSION} \
+    && cd lapack && source /opt/rh/gcc-toolset-13/enable \
+    && cmake -B build -S . \
+    && cmake --build build -j ${MAX_JOBS:-$(nproc)}
+
+
+###############################################################
+#                   FINAL VLLM IMAGE STAGE                    #
+###############################################################
+
+FROM registry.access.redhat.com/ubi9/ubi-minimal:${BASE_UBI_IMAGE_TAG} AS vllm-openai
+
+ARG PYTHON_VERSION=3.12
+ARG OPENBLAS_VERSION=0.3.29
+
+# Set Environment Variables for venv & openblas
+ENV VIRTUAL_ENV=/opt/vllm
+ENV PATH=${VIRTUAL_ENV}/bin:$PATH
+ENV PKG_CONFIG_PATH=/usr/local/lib/pkgconfig/
+ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib64:/usr/local/lib:/usr/lib64:/usr/lib
+ENV UV_LINK_MODE=copy
+
+# create artificial dependencies between stages for independent stages to build in parallel
+COPY --from=torch-builder /tmp/control /dev/null
+COPY --from=arrow-builder /tmp/control /dev/null
+COPY --from=cv-builder /tmp/control /dev/null
+COPY --from=vllmcache-builder /tmp/control /dev/null
+COPY --from=numa-builder /tmp/control /dev/null
+COPY --from=lapack-builder /tmp/control /dev/null
+
+# install gcc-11, python, openblas, numactl, lapack
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,from=numa-builder,source=/numactl/,target=/numactl/,rw \
+    --mount=type=bind,from=lapack-builder,source=/lapack/,target=/lapack/,rw \
+    rpm -ivh https://dl.fedoraproject.org/pub/epel/epel-release-latest-9.noarch.rpm && \
+    microdnf install --nodocs -y \
+    tar findutils openssl \
+    pkgconfig xsimd g++ gcc-fortran libsndfile \
+    libtiff libjpeg openjpeg2 zlib zeromq \
+    freetype lcms2 libwebp tcl tk utf8proc \
+    harfbuzz fribidi libraqm libimagequant libxcb \
+    python${PYTHON_VERSION}-devel python${PYTHON_VERSION}-pip \
+    && microdnf clean all \
+    && python${PYTHON_VERSION} -m venv ${VIRTUAL_ENV} \
+    && python -m pip install -U pip uv --no-cache \
+    && curl -sL https://ftp2.osuosl.org/pub/ppc64el/openblas/latest/Openblas_${OPENBLAS_VERSION}_ppc64le.tar.gz | tar xvf - -C /usr/local \
+    && make -C /numactl install \
+    && uv pip install cmake \
+    && cmake --install /lapack/build \
+    && uv pip uninstall cmake
+
+# consume previously built wheels (including vllm)
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,from=torch-builder,source=/torchwheels/,target=/torchwheels/,ro \
+    --mount=type=bind,from=arrow-builder,source=/arrowwheels/,target=/arrowwheels/,ro \
+    --mount=type=bind,from=cv-builder,source=/opencvwheels/,target=/opencvwheels/,ro \
+    --mount=type=bind,from=vllmcache-builder,source=/vllmwheel/,target=/vllmwheel/,ro \
+    HOME=/root uv pip install /opencvwheels/*.whl /arrowwheels/*.whl /torchwheels/*.whl /vllmwheel/*.whl
+
+COPY ./ /workspace/vllm
+WORKDIR /workspace/vllm
+ARG GIT_REPO_CHECK=0
+RUN --mount=type=bind,source=.git,target=.git \
+    if [ "$GIT_REPO_CHECK" != 0 ]; then bash tools/check_repo.sh; fi
+
+# install development dependencies (for testing)
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv pip install -e tests/vllm_test_utils
+
+WORKDIR /workspace/
+
+RUN ln -s /workspace/vllm/tests && ln -s /workspace/vllm/examples && ln -s /workspace/vllm/benchmarks
+
+ENTRYPOINT ["python", "-m", "vllm.entrypoints.openai.api_server"]
--- a/docker/Dockerfile.rocm
+++ b/docker/Dockerfile.rocm
@@ -0,0 +1,121 @@
+# default base image
+ARG REMOTE_VLLM="0"
+ARG USE_CYTHON="0"
+ARG BUILD_RPD="1"
+ARG COMMON_WORKDIR=/app
+ARG BASE_IMAGE=rocm/vllm-dev:base
+
+FROM ${BASE_IMAGE} AS base
+
+ARG ARG_PYTORCH_ROCM_ARCH
+ENV PYTORCH_ROCM_ARCH=${ARG_PYTORCH_ROCM_ARCH:-${PYTORCH_ROCM_ARCH}}
+
+# Install some basic utilities
+RUN apt-get update -q -y && apt-get install -q -y \
+    sqlite3 libsqlite3-dev libfmt-dev libmsgpack-dev libsuitesparse-dev \
+    apt-transport-https ca-certificates wget curl
+# Remove sccache    
+RUN python3 -m pip install --upgrade pip && pip install setuptools_scm
+RUN apt-get purge -y sccache; python3 -m pip uninstall -y sccache; rm -f "$(which sccache)"
+ARG COMMON_WORKDIR
+WORKDIR ${COMMON_WORKDIR}
+
+
+# -----------------------
+# vLLM fetch stages
+FROM base AS fetch_vllm_0
+ONBUILD COPY ./ vllm/
+FROM base AS fetch_vllm_1
+ARG VLLM_REPO="https://github.com/vllm-project/vllm.git"
+ARG VLLM_BRANCH="main"
+ONBUILD RUN git clone ${VLLM_REPO} \
+	    && cd vllm \
+	    && git checkout ${VLLM_BRANCH}
+FROM fetch_vllm_${REMOTE_VLLM} AS fetch_vllm
+
+# -----------------------
+# vLLM build stages
+FROM fetch_vllm AS build_vllm
+ARG USE_CYTHON
+# Build vLLM
+RUN cd vllm \
+    && python3 -m pip install -r requirements/rocm.txt \
+    && python3 setup.py clean --all  \
+    && if [ ${USE_CYTHON} -eq "1" ]; then python3 tests/build_cython.py build_ext --inplace; fi \
+    && python3 setup.py bdist_wheel --dist-dir=dist
+FROM scratch AS export_vllm
+ARG COMMON_WORKDIR
+COPY --from=build_vllm ${COMMON_WORKDIR}/vllm/dist/*.whl /
+COPY --from=build_vllm ${COMMON_WORKDIR}/vllm/requirements /requirements
+COPY --from=build_vllm ${COMMON_WORKDIR}/vllm/benchmarks /benchmarks
+COPY --from=build_vllm ${COMMON_WORKDIR}/vllm/tests /tests
+COPY --from=build_vllm ${COMMON_WORKDIR}/vllm/examples /examples
+COPY --from=build_vllm ${COMMON_WORKDIR}/vllm/.buildkite /.buildkite
+
+# -----------------------
+# Test vLLM image
+FROM base AS test
+
+RUN python3 -m pip install --upgrade pip && rm -rf /var/lib/apt/lists/*
+
+# Install vLLM
+RUN --mount=type=bind,from=export_vllm,src=/,target=/install \
+    cd /install \
+    && pip install -U -r requirements/rocm.txt \
+    && pip install -U -r requirements/rocm-test.txt \
+    && pip uninstall -y vllm \
+    && pip install *.whl
+
+WORKDIR /vllm-workspace
+ARG COMMON_WORKDIR
+COPY --from=build_vllm ${COMMON_WORKDIR}/vllm /vllm-workspace
+
+# install development dependencies (for testing)
+RUN cd /vllm-workspace \
+    && rm -rf vllm \
+    && python3 -m pip install -e tests/vllm_test_utils \
+    && python3 -m pip install lm-eval[api]==0.4.4 \
+    && python3 -m pip install pytest-shard
+
+# -----------------------
+# Final vLLM image
+FROM base AS final
+
+RUN python3 -m pip install --upgrade pip && rm -rf /var/lib/apt/lists/*
+# Error related to odd state for numpy 1.20.3 where there is no METADATA etc, but an extra LICENSES_bundled.txt.
+# Manually remove it so that later steps of numpy upgrade can continue
+RUN case "$(which python3)" in \
+        *"/opt/conda/envs/py_3.9"*) \
+            rm -rf /opt/conda/envs/py_3.9/lib/python3.9/site-packages/numpy-1.20.3.dist-info/;; \
+        *) ;; esac
+
+RUN python3 -m pip install --upgrade huggingface-hub[cli]
+ARG BUILD_RPD
+RUN if [ ${BUILD_RPD} -eq "1" ]; then \
+    git clone -b nvtx_enabled https://github.com/ROCm/rocmProfileData.git \
+    && cd rocmProfileData/rpd_tracer \
+    && pip install -r requirements.txt && cd ../ \
+    && make && make install \
+    && cd hipMarker && python3 setup.py install ; fi
+
+# Install vLLM
+RUN --mount=type=bind,from=export_vllm,src=/,target=/install \
+    cd /install \
+    && pip install -U -r requirements/rocm.txt \
+    && pip uninstall -y vllm \
+    && pip install *.whl
+
+ARG COMMON_WORKDIR
+
+# Copy over the benchmark scripts as well
+COPY --from=export_vllm /benchmarks ${COMMON_WORKDIR}/vllm/benchmarks
+COPY --from=export_vllm /examples ${COMMON_WORKDIR}/vllm/examples
+
+ENV RAY_EXPERIMENTAL_NOSET_ROCR_VISIBLE_DEVICES=1
+ENV TOKENIZERS_PARALLELISM=false
+
+# Performance environment variable.
+ENV HIP_FORCE_DEV_KERNARG=1
+
+CMD ["/bin/bash"]
+
--- a/docker/Dockerfile.rocm_base
+++ b/docker/Dockerfile.rocm_base
@@ -0,0 +1,172 @@
+ARG BASE_IMAGE=rocm/dev-ubuntu-22.04:6.3.1-complete
+ARG HIPBLASLT_BRANCH="4d40e36"
+ARG HIPBLAS_COMMON_BRANCH="7c1566b"
+ARG LEGACY_HIPBLASLT_OPTION=
+ARG RCCL_BRANCH="648a58d"
+ARG RCCL_REPO="https://github.com/ROCm/rccl"
+ARG TRITON_BRANCH="e5be006"
+ARG TRITON_REPO="https://github.com/triton-lang/triton.git"
+ARG PYTORCH_BRANCH="3a585126"
+ARG PYTORCH_VISION_BRANCH="v0.19.1"
+ARG PYTORCH_REPO="https://github.com/pytorch/pytorch.git"
+ARG PYTORCH_VISION_REPO="https://github.com/pytorch/vision.git"
+ARG FA_BRANCH="b7d29fb"
+ARG FA_REPO="https://github.com/ROCm/flash-attention.git"
+ARG AITER_BRANCH="21d47a9"
+ARG AITER_REPO="https://github.com/ROCm/aiter.git"
+
+FROM ${BASE_IMAGE} AS base
+
+ENV PATH=/opt/rocm/llvm/bin:$PATH
+ENV ROCM_PATH=/opt/rocm
+ENV LD_LIBRARY_PATH=/opt/rocm/lib:/usr/local/lib:
+ARG PYTORCH_ROCM_ARCH=gfx90a;gfx942
+ENV PYTORCH_ROCM_ARCH=${PYTORCH_ROCM_ARCH}
+
+ARG PYTHON_VERSION=3.12
+
+RUN mkdir -p /app
+WORKDIR /app
+ENV DEBIAN_FRONTEND=noninteractive
+
+# Install Python and other dependencies
+RUN apt-get update -y \
+    && apt-get install -y software-properties-common git curl sudo vim less \
+    && add-apt-repository ppa:deadsnakes/ppa \
+    && apt-get update -y \
+    && apt-get install -y python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python${PYTHON_VERSION}-venv \
+       python${PYTHON_VERSION}-lib2to3 python-is-python3  \
+    && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${PYTHON_VERSION} 1 \
+    && update-alternatives --set python3 /usr/bin/python${PYTHON_VERSION} \
+    && ln -sf /usr/bin/python${PYTHON_VERSION}-config /usr/bin/python3-config \
+    && curl -sS https://bootstrap.pypa.io/get-pip.py | python${PYTHON_VERSION} \
+    && python3 --version && python3 -m pip --version
+
+RUN pip install -U packaging cmake ninja wheel setuptools pybind11 Cython
+
+FROM base AS build_hipblaslt
+ARG HIPBLASLT_BRANCH
+ARG HIPBLAS_COMMON_BRANCH
+# Set to "--legacy_hipblas_direct" for ROCm<=6.2
+ARG LEGACY_HIPBLASLT_OPTION
+RUN git clone https://github.com/ROCm/hipBLAS-common.git
+RUN cd hipBLAS-common \
+    && git checkout ${HIPBLAS_COMMON_BRANCH} \
+    && mkdir build \
+    && cd build \
+    && cmake .. \
+    && make package \
+    && dpkg -i ./*.deb
+RUN git clone https://github.com/ROCm/hipBLASLt
+RUN cd hipBLASLt \
+    && git checkout ${HIPBLASLT_BRANCH} \
+    && ./install.sh -d --architecture ${PYTORCH_ROCM_ARCH} ${LEGACY_HIPBLASLT_OPTION} \
+    && cd build/release \
+    && make package
+RUN mkdir -p /app/install && cp /app/hipBLASLt/build/release/*.deb /app/hipBLAS-common/build/*.deb /app/install
+
+FROM base AS build_rccl
+ARG RCCL_BRANCH
+ARG RCCL_REPO
+RUN git clone ${RCCL_REPO}
+RUN cd rccl \
+    && git checkout ${RCCL_BRANCH} \
+    && ./install.sh -p --amdgpu_targets ${PYTORCH_ROCM_ARCH}
+RUN mkdir -p /app/install && cp /app/rccl/build/release/*.deb /app/install
+
+FROM base AS build_triton
+ARG TRITON_BRANCH
+ARG TRITON_REPO
+RUN git clone ${TRITON_REPO}
+RUN cd triton \
+    && git checkout ${TRITON_BRANCH} \
+    && cd python \
+    && python3 setup.py bdist_wheel --dist-dir=dist
+RUN mkdir -p /app/install && cp /app/triton/python/dist/*.whl /app/install
+
+FROM base AS build_amdsmi
+RUN cd /opt/rocm/share/amd_smi \
+    && pip wheel . --wheel-dir=dist
+RUN mkdir -p /app/install && cp /opt/rocm/share/amd_smi/dist/*.whl /app/install
+
+FROM base AS build_pytorch
+ARG PYTORCH_BRANCH
+ARG PYTORCH_VISION_BRANCH
+ARG PYTORCH_REPO
+ARG PYTORCH_VISION_REPO
+ARG FA_BRANCH
+ARG FA_REPO
+RUN git clone ${PYTORCH_REPO} pytorch
+RUN cd pytorch && git checkout ${PYTORCH_BRANCH} && \
+    pip install -r requirements.txt && git submodule update --init --recursive \
+    && python3 tools/amd_build/build_amd.py \
+    && CMAKE_PREFIX_PATH=$(python3 -c 'import sys; print(sys.prefix)') python3 setup.py bdist_wheel --dist-dir=dist \
+    && pip install dist/*.whl
+RUN git clone ${PYTORCH_VISION_REPO} vision
+RUN cd vision && git checkout ${PYTORCH_VISION_BRANCH} \
+    && python3 setup.py bdist_wheel --dist-dir=dist \
+    && pip install dist/*.whl
+RUN git clone ${FA_REPO}
+RUN cd flash-attention \
+    && git checkout ${FA_BRANCH} \
+    && git submodule update --init \
+    && MAX_JOBS=64 GPU_ARCHS=${PYTORCH_ROCM_ARCH} python3 setup.py bdist_wheel --dist-dir=dist
+RUN mkdir -p /app/install && cp /app/pytorch/dist/*.whl /app/install \
+    && cp /app/vision/dist/*.whl /app/install \
+    && cp /app/flash-attention/dist/*.whl /app/install
+
+FROM base AS final
+RUN --mount=type=bind,from=build_hipblaslt,src=/app/install/,target=/install \
+    dpkg -i /install/*deb \
+    && sed -i 's/, hipblaslt-dev \(.*\), hipcub-dev/, hipcub-dev/g' /var/lib/dpkg/status \
+    && sed -i 's/, hipblaslt \(.*\), hipfft/, hipfft/g' /var/lib/dpkg/status
+RUN --mount=type=bind,from=build_rccl,src=/app/install/,target=/install \
+    dpkg -i /install/*deb \
+    && sed -i 's/, rccl-dev \(.*\), rocalution/, rocalution/g' /var/lib/dpkg/status \
+    && sed -i 's/, rccl \(.*\), rocalution/, rocalution/g' /var/lib/dpkg/status
+RUN --mount=type=bind,from=build_triton,src=/app/install/,target=/install \
+    pip install /install/*.whl
+RUN --mount=type=bind,from=build_amdsmi,src=/app/install/,target=/install \
+    pip install /install/*.whl
+RUN --mount=type=bind,from=build_pytorch,src=/app/install/,target=/install \
+    pip install /install/*.whl
+
+ARG AITER_REPO
+ARG AITER_BRANCH
+RUN git clone --recursive ${AITER_REPO}
+RUN cd aiter \
+    && git checkout ${AITER_BRANCH} \
+    && git submodule update --init --recursive \
+    && pip install -r requirements.txt \
+    && PREBUILD_KERNELS=1 GPU_ARCHS=gfx942 python3 setup.py develop && pip show aiter 
+
+ARG BASE_IMAGE
+ARG HIPBLASLT_BRANCH
+ARG HIPBLAS_COMMON_BRANCH
+ARG LEGACY_HIPBLASLT_OPTION
+ARG RCCL_BRANCH
+ARG RCCL_REPO
+ARG TRITON_BRANCH
+ARG TRITON_REPO
+ARG PYTORCH_BRANCH
+ARG PYTORCH_VISION_BRANCH
+ARG PYTORCH_REPO
+ARG PYTORCH_VISION_REPO
+ARG FA_BRANCH
+ARG FA_REPO
+RUN echo "BASE_IMAGE: ${BASE_IMAGE}" > /app/versions.txt \
+    && echo "HIPBLAS_COMMON_BRANCH: ${HIPBLAS_COMMON_BRANCH}" >> /app/versions.txt \
+    && echo "HIPBLASLT_BRANCH: ${HIPBLASLT_BRANCH}" >> /app/versions.txt \
+    && echo "LEGACY_HIPBLASLT_OPTION: ${LEGACY_HIPBLASLT_OPTION}" >> /app/versions.txt \
+    && echo "RCCL_BRANCH: ${RCCL_BRANCH}" >> /app/versions.txt \
+    && echo "RCCL_REPO: ${RCCL_REPO}" >> /app/versions.txt \
+    && echo "TRITON_BRANCH: ${TRITON_BRANCH}" >> /app/versions.txt \
+    && echo "TRITON_REPO: ${TRITON_REPO}" >> /app/versions.txt \
+    && echo "PYTORCH_BRANCH: ${PYTORCH_BRANCH}" >> /app/versions.txt \
+    && echo "PYTORCH_VISION_BRANCH: ${PYTORCH_VISION_BRANCH}" >> /app/versions.txt \
+    && echo "PYTORCH_REPO: ${PYTORCH_REPO}" >> /app/versions.txt \
+    && echo "PYTORCH_VISION_REPO: ${PYTORCH_VISION_REPO}" >> /app/versions.txt \
+    && echo "FA_BRANCH: ${FA_BRANCH}" >> /app/versions.txt \
+    && echo "FA_REPO: ${FA_REPO}" >> /app/versions.txt \
+    && echo "AITER_BRANCH: ${AITER_BRANCH}" >> /app/versions.txt \
+    && echo "AITER_REPO: ${AITER_REPO}" >> /app/versions.txt
--- a/docker/Dockerfile.s390x
+++ b/docker/Dockerfile.s390x
@@ -0,0 +1,152 @@
+# Base UBI image for s390x architecture
+ARG BASE_UBI_IMAGE_TAG=9.5-1736404155
+ARG PYTHON_VERSION=3.12
+FROM registry.access.redhat.com/ubi9/ubi-minimal:${BASE_UBI_IMAGE_TAG} AS base
+
+# Install basic dependencies
+ARG PYTHON_VERSION
+ENV PYTHON_VERSION=${PYTHON_VERSION}
+
+WORKDIR /workspace
+
+ENV LANG=C.UTF-8 \
+    LC_ALL=C.UTF-8
+
+# Install development utilities
+RUN microdnf install -y \
+    which procps findutils tar vim git gcc gcc-gfortran g++ make patch zlib-devel \
+    libjpeg-turbo-devel libtiff-devel libpng-devel libwebp-devel freetype-devel harfbuzz-devel \
+    openssl-devel openblas openblas-devel autoconf automake libtool cmake && \
+    microdnf clean all
+
+# Python Installation
+FROM base AS python-install
+ARG PYTHON_VERSION
+
+ENV VIRTUAL_ENV=/opt/vllm
+ENV PATH="$VIRTUAL_ENV/bin:$PATH"
+ENV PYTHON_VERSION=${PYTHON_VERSION}
+RUN microdnf install -y \
+    python${PYTHON_VERSION}-devel python${PYTHON_VERSION}-pip python${PYTHON_VERSION}-wheel  && \
+    python${PYTHON_VERSION} -m venv $VIRTUAL_ENV && pip install --no-cache -U pip wheel uv && microdnf clean all
+
+FROM python-install AS pyarrow
+
+# Build Apache Arrow
+WORKDIR /tmp
+RUN --mount=type=cache,target=/root/.cache/uv \
+    git clone https://github.com/apache/arrow.git && \
+    cd arrow/cpp && \
+    mkdir release && cd release && \
+    cmake -DCMAKE_BUILD_TYPE=Release \
+          -DCMAKE_INSTALL_PREFIX=/usr/local \
+          -DARROW_PYTHON=ON \
+          -DARROW_PARQUET=ON \
+          -DARROW_ORC=ON \
+          -DARROW_FILESYSTEM=ON \
+          -DARROW_WITH_LZ4=ON \
+          -DARROW_WITH_ZSTD=ON \
+          -DARROW_WITH_SNAPPY=ON \
+          -DARROW_JSON=ON \
+          -DARROW_CSV=ON \
+          -DARROW_DATASET=ON \
+          -DPROTOBUF_PROTOC_EXECUTABLE=/usr/bin/protoc \
+          -DARROW_DEPENDENCY_SOURCE=BUNDLED \
+          .. && \
+    make -j$(nproc) && \
+    make install && \
+    cd ../../python && \
+    export PYARROW_PARALLEL=4 && \
+    export ARROW_BUILD_TYPE=release && \
+    uv pip install -r requirements/build.txt && \
+    python setup.py build_ext --build-type=$ARROW_BUILD_TYPE --bundle-arrow-cpp bdist_wheel
+
+FROM python-install AS numa-build
+# Install numactl (needed for numa.h dependency)
+WORKDIR /tmp
+RUN curl -LO https://github.com/numactl/numactl/archive/refs/tags/v2.0.16.tar.gz && \
+    tar -xvzf v2.0.16.tar.gz && \
+    cd numactl-2.0.16 && \
+    ./autogen.sh && \
+    ./configure && \
+    make
+
+# Set include path
+ENV C_INCLUDE_PATH="/usr/local/include:$C_INCLUDE_PATH"
+
+FROM python-install AS rust
+ENV CARGO_HOME=/root/.cargo
+ENV RUSTUP_HOME=/root/.rustup
+ENV PATH="$CARGO_HOME/bin:$RUSTUP_HOME/bin:$PATH"
+
+RUN curl https://sh.rustup.rs -sSf | sh -s -- -y && \
+    . "$CARGO_HOME/env" && \
+    rustup default stable && \
+    rustup show
+
+FROM python-install AS torch-vision
+# Install torchvision
+ARG TORCH_VERSION=2.7.0.dev20250304
+ARG TORCH_VISION_VERSION=v0.20.1
+WORKDIR /tmp
+RUN --mount=type=cache,target=/root/.cache/uv \
+    git clone https://github.com/pytorch/vision.git && \
+    cd vision && \
+    git checkout $TORCH_VISION_VERSION && \
+    uv pip install -v torch==${TORCH_VERSION} --extra-index-url https://download.pytorch.org/whl/nightly/cpu && \
+    python setup.py bdist_wheel
+
+# Final build stage
+FROM python-install AS vllm-cpu
+ARG PYTHON_VERSION
+
+# Set correct library path for torch and numactl
+ENV LD_LIBRARY_PATH="/opt/vllm/lib64/python${PYTHON_VERSION}/site-packages/torch/lib:/usr/local/lib:$LD_LIBRARY_PATH"
+ENV C_INCLUDE_PATH="/usr/local/include:$C_INCLUDE_PATH"
+ENV UV_LINK_MODE=copy
+ENV CARGO_HOME=/root/.cargo
+ENV RUSTUP_HOME=/root/.rustup
+ENV PATH="$CARGO_HOME/bin:$RUSTUP_HOME/bin:$PATH"
+
+COPY . /workspace/vllm
+WORKDIR /workspace/vllm
+
+RUN --mount=type=bind,from=numa-build,src=/tmp/numactl-2.0.16,target=/numactl \
+    make -C /numactl install
+
+# Install dependencies, including PyTorch and Apache Arrow
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,from=rust,source=/root/.cargo,target=/root/.cargo,rw \
+    --mount=type=bind,from=rust,source=/root/.rustup,target=/root/.rustup,rw \
+    --mount=type=bind,from=pyarrow,source=/tmp/arrow/python/dist,target=/tmp/arrow-wheels \
+    --mount=type=bind,from=torch-vision,source=/tmp/vision/dist,target=/tmp/vision-wheels/ \
+     sed -i '/^torch/d' requirements/build.txt && \
+     ARROW_WHL_FILE=$(ls /tmp/arrow-wheels/pyarrow-*.whl | head -n 1) && \
+     VISION_WHL_FILE=$(ls /tmp/vision-wheels/*.whl | head -n 1) && \
+    uv pip install -v \    
+        $ARROW_WHL_FILE  \
+        $VISION_WHL_FILE \
+        --extra-index-url https://download.pytorch.org/whl/nightly/cpu \
+        --index-strategy unsafe-best-match \
+        -r requirements/build.txt \
+        -r requirements/cpu.txt 
+
+# Build and install vllm
+RUN --mount=type=cache,target=/root/.cache/uv \
+    VLLM_TARGET_DEVICE=cpu python setup.py bdist_wheel && \
+    uv pip install "$(echo dist/*.whl)[tensorizer]"
+
+# setup non-root user for vllm
+RUN umask 002 && \
+    useradd --uid 2000 --gid 0 vllm && \
+    mkdir -p /home/vllm && \
+    chmod g+rwx /home/vllm
+
+COPY LICENSE /licenses/vllm.md
+COPY examples/*.jinja /app/data/template/
+
+USER 2000
+WORKDIR /home/vllm
+
+# Set the default entrypoint
+ENTRYPOINT ["python", "-m", "vllm.entrypoints.openai.api_server"]
--- a/docker/Dockerfile.tpu
+++ b/docker/Dockerfile.tpu
@@ -0,0 +1,31 @@
+ARG NIGHTLY_DATE="20250124"
+ARG BASE_IMAGE="us-central1-docker.pkg.dev/tpu-pytorch-releases/docker/xla:nightly_3.10_tpuvm_$NIGHTLY_DATE"
+
+FROM $BASE_IMAGE
+WORKDIR /workspace/vllm
+
+# Install some basic utilities
+RUN apt-get update && apt-get install -y \
+    git \
+    ffmpeg libsm6 libxext6 libgl1
+
+# Build vLLM.
+COPY . .
+ARG GIT_REPO_CHECK=0
+RUN --mount=type=bind,source=.git,target=.git \
+    if [ "$GIT_REPO_CHECK" != 0 ]; then bash tools/check_repo.sh; fi
+
+# Remove existing versions of dependencies
+RUN pip uninstall -y torch torch_xla torchvision
+
+ENV VLLM_TARGET_DEVICE="tpu"
+RUN --mount=type=cache,target=/root/.cache/pip \
+    --mount=type=bind,source=.git,target=.git \
+    python3 -m pip install \
+        -r requirements/tpu.txt
+RUN python3 setup.py develop
+
+# install development dependencies (for testing)
+RUN python3 -m pip install -e tests/vllm_test_utils
+
+CMD ["/bin/bash"]
--- a/docker/Dockerfile.xpu
+++ b/docker/Dockerfile.xpu
@@ -0,0 +1,61 @@
+# oneapi 2025.0.2 docker base image use rolling 2448 package. https://dgpu-docs.intel.com/releases/packages.html?release=Rolling+2448.13&os=Ubuntu+22.04, and we don't need install driver manually.
+FROM intel/deep-learning-essentials:2025.0.2-0-devel-ubuntu22.04 AS vllm-base
+
+RUN rm /etc/apt/sources.list.d/intel-graphics.list
+
+RUN apt-get update -y && \
+    apt-get install -y --no-install-recommends --fix-missing \
+    curl \
+    ffmpeg \
+    git \
+    libsndfile1 \
+    libsm6 \
+    libxext6 \
+    libgl1 \
+    lsb-release \
+    numactl \
+    python3 \
+    python3-dev \
+    python3-pip \
+    wget
+
+WORKDIR /workspace/vllm
+COPY requirements/xpu.txt /workspace/vllm/requirements/xpu.txt
+COPY requirements/common.txt /workspace/vllm/requirements/common.txt
+
+RUN --mount=type=cache,target=/root/.cache/pip \
+    pip install --no-cache-dir \
+    -r requirements/xpu.txt
+
+ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/lib/"
+
+COPY . .
+ARG GIT_REPO_CHECK=0
+RUN --mount=type=bind,source=.git,target=.git \
+    if [ "$GIT_REPO_CHECK" != 0 ]; then bash tools/check_repo.sh; fi
+
+ENV VLLM_TARGET_DEVICE=xpu
+
+RUN --mount=type=cache,target=/root/.cache/pip \
+    --mount=type=bind,source=.git,target=.git \
+    python3 setup.py install
+
+# Please refer xpu doc, we need manually install intel-extension-for-pytorch 2.6.10+xpu due to there are some conflict dependencies with torch 2.6.0+xpu
+# FIXME: This will be fix in ipex 2.7. just leave this here for awareness.
+RUN --mount=type=cache,target=/root/.cache/pip \
+    pip install intel-extension-for-pytorch==2.6.10+xpu \
+    --extra-index-url=https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+
+CMD ["/bin/bash"]
+
+FROM vllm-base AS vllm-openai
+
+# install additional dependencies for openai api server
+RUN --mount=type=cache,target=/root/.cache/pip \
+    pip install accelerate hf_transfer 'modelscope!=1.15.0'
+
+ENV VLLM_USAGE_SOURCE production-docker-image \
+    TRITON_XPU_PROFILE 1
+# install development dependencies (for testing)
+RUN python3 -m pip install -e tests/vllm_test_utils
+ENTRYPOINT ["python3", "-m", "vllm.entrypoints.openai.api_server"]