chore: vendor sglang v0.5.10 snapshot

This commit is contained in:
2026-04-24 12:29:36 +00:00
parent 78f0d15221
commit bded08301f
4308 changed files with 1200894 additions and 2 deletions

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ARG CUDA_VERSION=12.9.1
FROM nvidia/cuda:${CUDA_VERSION}-cudnn-devel-ubuntu24.04 AS base
ARG TARGETARCH
ARG BUILD_TYPE=all
ARG BRANCH_TYPE=remote
ARG GRACE_BLACKWELL=0
ARG HOPPER_SBO=0
ARG GRACE_BLACKWELL_DEEPEP_BRANCH=gb200_blog_part_2
ARG HOPPER_SBO_DEEPEP_COMMIT=9f2fc4b3182a51044ae7ecb6610f7c9c3258c4d6
ARG DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee
ARG BUILD_AND_DOWNLOAD_PARALLEL=8
ARG SGL_KERNEL_VERSION=0.4.1
ARG SGL_VERSION
ARG USE_LATEST_SGLANG=0
ARG GDRCOPY_VERSION=2.5.1
ARG PIP_DEFAULT_INDEX
ARG UBUNTU_MIRROR
ARG GITHUB_ARTIFACTORY=github.com
ARG INSTALL_FLASHINFER_JIT_CACHE=0
ARG FLASHINFER_VERSION=0.6.7.post2
ARG MOONCAKE_VERSION=0.3.9
#if need other arg please add in MOONCAKE_COMPILE_ARG
ARG MOONCAKE_COMPILE_ARG="-DUSE_HTTP=ON -DUSE_MNNVL=ON -DUSE_CUDA=ON -DWITH_EP=ON"
ENV DEBIAN_FRONTEND=noninteractive \
CUDA_HOME=/usr/local/cuda \
GDRCOPY_HOME=/usr/src/gdrdrv-${GDRCOPY_VERSION}/ \
FLASHINFER_VERSION=${FLASHINFER_VERSION}
# Add GKE default lib and bin locations
ENV PATH="${PATH}:/usr/local/nvidia/bin" \
LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib:/usr/local/nvidia/lib64"
# Replace Ubuntu sources if specified
RUN if [ -n "$UBUNTU_MIRROR" ]; then \
sed -i "s|http://.*archive.ubuntu.com|$UBUNTU_MIRROR|g" /etc/apt/sources.list && \
sed -i "s|http://.*security.ubuntu.com|$UBUNTU_MIRROR|g" /etc/apt/sources.list; \
fi
# Python setup (combined with apt update to reduce layers)
RUN --mount=type=cache,target=/var/cache/apt,id=base-apt \
apt update && apt install -y --no-install-recommends wget software-properties-common \
&& add-apt-repository ppa:deadsnakes/ppa -y \
&& apt install -y --no-install-recommends python3.12-full python3.12-dev python3.10-venv \
&& update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.10 1 \
&& update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.12 2 \
&& update-alternatives --set python3 /usr/bin/python3.12 \
&& wget -q https://bootstrap.pypa.io/get-pip.py \
&& python3 get-pip.py --break-system-packages \
&& rm get-pip.py \
# Allow pip to install packages globally (PEP 668 workaround for Ubuntu 24.04)
&& python3 -m pip config set global.break-system-packages true \
# Fix for apt-add-repository
&& cd /usr/lib/python3/dist-packages/ \
&& ln -s apt_pkg.cpython-310-*-linux-gnu.so apt_pkg.so
# Install system dependencies (organized by category for better caching)
RUN --mount=type=cache,target=/var/cache/apt,id=base-apt \
apt-get update && apt-get install -y --no-install-recommends \
# Core system utilities
ca-certificates \
software-properties-common \
netcat-openbsd \
kmod \
unzip \
openssh-server \
curl \
wget \
lsof \
locales \
# Build essentials (needed for framework stage)
build-essential \
cmake \
perl \
patchelf \
ccache \
git-lfs \
# MPI and NUMA
libopenmpi-dev \
libnuma1 \
libnuma-dev \
numactl \
# transformers multimodal VLM
ffmpeg \
# InfiniBand/RDMA
libibverbs-dev \
libibverbs1 \
libibumad3 \
librdmacm1 \
libnl-3-200 \
libnl-route-3-200 \
libnl-route-3-dev \
libnl-3-dev \
ibverbs-providers \
infiniband-diags \
perftest \
# Development libraries
libgoogle-glog-dev \
libgtest-dev \
libjsoncpp-dev \
libunwind-dev \
libboost-all-dev \
libssl-dev \
libgrpc-dev \
libgrpc++-dev \
libprotobuf-dev \
protobuf-compiler \
protobuf-compiler-grpc \
pybind11-dev \
libhiredis-dev \
libcurl4-openssl-dev \
libczmq4 \
libczmq-dev \
libfabric-dev \
linux-libc-dev \
# Package building tools
devscripts \
debhelper \
fakeroot \
dkms \
check \
libsubunit0 \
libsubunit-dev \
&& ln -sf /usr/bin/python3.12 /usr/bin/python \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get clean
# Replace pip global cache if specified
RUN if [ -n "${PIP_DEFAULT_INDEX}" ]; then \
python3 -m pip config set global.index-url ${PIP_DEFAULT_INDEX}; \
fi
# GDRCopy installation
RUN mkdir -p /tmp/gdrcopy && cd /tmp \
&& curl --retry 3 --retry-delay 2 -fsSL -o v${GDRCOPY_VERSION}.tar.gz \
https://${GITHUB_ARTIFACTORY}/NVIDIA/gdrcopy/archive/refs/tags/v${GDRCOPY_VERSION}.tar.gz \
&& tar -xzf v${GDRCOPY_VERSION}.tar.gz && rm v${GDRCOPY_VERSION}.tar.gz \
&& cd gdrcopy-${GDRCOPY_VERSION}/packages \
&& CUDA=/usr/local/cuda ./build-deb-packages.sh \
&& dpkg -i gdrdrv-dkms_*.deb libgdrapi_*.deb gdrcopy-tests_*.deb gdrcopy_*.deb \
&& cd / && rm -rf /tmp/gdrcopy
# Fix DeepEP IBGDA symlink
RUN ln -sf /usr/lib/$(uname -m)-linux-gnu/libmlx5.so.1 /usr/lib/$(uname -m)-linux-gnu/libmlx5.so
# Set up locale
RUN locale-gen en_US.UTF-8
ENV LANG=en_US.UTF-8 \
LANGUAGE=en_US:en \
LC_ALL=en_US.UTF-8
########################################################
########## Framework Development Image ################
########################################################
# Copy local source if building from local
FROM scratch AS local_src
COPY . /src
FROM base AS framework
ARG BRANCH_TYPE
ARG BUILD_TYPE
ARG CUDA_VERSION
ARG BUILD_AND_DOWNLOAD_PARALLEL
ARG SGL_KERNEL_VERSION
ARG SGL_VERSION
ARG USE_LATEST_SGLANG
ARG INSTALL_FLASHINFER_JIT_CACHE
ARG FLASHINFER_VERSION
ARG GRACE_BLACKWELL
ARG GRACE_BLACKWELL_DEEPEP_BRANCH
ARG DEEPEP_COMMIT
ARG TRITON_LANG_COMMIT
ARG GITHUB_ARTIFACTORY
WORKDIR /sgl-workspace
# Install SGLang
COPY --from=local_src /src /tmp/local_src
RUN if [ "$BRANCH_TYPE" = "local" ]; then \
cp -r /tmp/local_src /sgl-workspace/sglang; \
elif [ "$USE_LATEST_SGLANG" = "1" ]; then \
git clone --depth=1 https://github.com/sgl-project/sglang.git /sgl-workspace/sglang; \
elif [ -z "$SGL_VERSION" ]; then \
echo "ERROR: SGL_VERSION must be set when USE_LATEST_SGLANG=0 and BRANCH_TYPE!=local" && exit 1; \
else \
git clone --depth=1 --branch v${SGL_VERSION} https://github.com/sgl-project/sglang.git /sgl-workspace/sglang; \
fi \
&& rm -rf /tmp/local_src
RUN --mount=type=cache,target=/root/.cache/pip \
python3 -m pip install --upgrade pip setuptools wheel html5lib six \
&& cd sglang \
&& case "$CUDA_VERSION" in \
12.6.1) CUINDEX=126 ;; \
12.8.1) CUINDEX=128 ;; \
12.9.1) CUINDEX=129 ;; \
13.0.1) CUINDEX=130 ;; \
*) echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1 ;; \
esac \
&& if [ "$CUDA_VERSION" = "12.6.1" ]; then \
python3 -m pip install https://${GITHUB_ARTIFACTORY}/sgl-project/whl/releases/download/v${SGL_KERNEL_VERSION}/sglang_kernel-${SGL_KERNEL_VERSION}+cu124-cp310-abi3-manylinux2014_$(uname -m).whl --force-reinstall --no-deps \
; \
elif [ "$CUDA_VERSION" = "12.8.1" ] || [ "$CUDA_VERSION" = "12.9.1" ]; then \
python3 -m pip install sglang-kernel==${SGL_KERNEL_VERSION} \
; \
elif [ "$CUDA_VERSION" = "13.0.1" ]; then \
python3 -m pip install https://github.com/sgl-project/whl/releases/download/v${SGL_KERNEL_VERSION}/sglang_kernel-${SGL_KERNEL_VERSION}+cu130-cp310-abi3-manylinux2014_$(uname -m).whl --force-reinstall --no-deps \
; \
else \
echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1 \
; \
fi \
&& python3 -m pip install -e "python[${BUILD_TYPE}]" --extra-index-url https://download.pytorch.org/whl/cu${CUINDEX} \
&& if [ "$INSTALL_FLASHINFER_JIT_CACHE" = "1" ]; then \
python3 -m pip install flashinfer-jit-cache==${FLASHINFER_VERSION} --index-url https://flashinfer.ai/whl/cu${CUINDEX} ; \
fi \
&& FLASHINFER_CUBIN_DOWNLOAD_THREADS=${BUILD_AND_DOWNLOAD_PARALLEL} FLASHINFER_LOGGING_LEVEL=warning python3 -m flashinfer --download-cubin
# DeepEP
# We use Tom's DeepEP fork for GB200 for now; the 1fd57b0276311d035d16176bb0076426166e52f3 commit is https://github.com/fzyzcjy/DeepEP/tree/gb200_blog_part_2
# TODO: move from Tom's branch to DeepEP hybrid-ep branch
# We use the nvshmem version that ships with torch 2.9.1
# CU12 uses 3.3.20 and CU13 uses 3.3.24
RUN set -eux; \
if [ "$GRACE_BLACKWELL" = "1" ]; then \
git clone https://github.com/fzyzcjy/DeepEP.git && \
cd DeepEP && \
git checkout ${GRACE_BLACKWELL_DEEPEP_BRANCH} && \
sed -i 's/#define NUM_CPU_TIMEOUT_SECS 100/#define NUM_CPU_TIMEOUT_SECS 1000/' csrc/kernels/configs.cuh && \
sed -i 's/#define NUM_TIMEOUT_CYCLES 200000000000ull/#define NUM_TIMEOUT_CYCLES 2000000000000ull/' csrc/kernels/configs.cuh && \
cd .. ; \
elif [ "$HOPPER_SBO" = "1" ]; then \
git clone https://github.com/deepseek-ai/DeepEP.git -b antgroup-opt && \
cd DeepEP && \
git checkout ${HOPPER_SBO_DEEPEP_COMMIT} && \
sed -i 's/#define NUM_CPU_TIMEOUT_SECS 100/#define NUM_CPU_TIMEOUT_SECS 1000/' csrc/kernels/configs.cuh && \
sed -i 's/#define NUM_TIMEOUT_CYCLES 200000000000ull/#define NUM_TIMEOUT_CYCLES 2000000000000ull/' csrc/kernels/configs.cuh && \
cd .. ; \
else \
curl --retry 3 --retry-delay 2 -fsSL -o ${DEEPEP_COMMIT}.zip \
https://${GITHUB_ARTIFACTORY}/deepseek-ai/DeepEP/archive/${DEEPEP_COMMIT}.zip && \
unzip -q ${DEEPEP_COMMIT}.zip && rm ${DEEPEP_COMMIT}.zip && mv DeepEP-${DEEPEP_COMMIT} DeepEP && cd DeepEP && \
sed -i 's/#define NUM_CPU_TIMEOUT_SECS 100/#define NUM_CPU_TIMEOUT_SECS 1000/' csrc/kernels/configs.cuh && \
sed -i 's/#define NUM_TIMEOUT_CYCLES 200000000000ull/#define NUM_TIMEOUT_CYCLES 2000000000000ull/' csrc/kernels/configs.cuh && \
cd .. ; \
fi
# Install DeepEP
RUN --mount=type=cache,target=/root/.cache/pip \
cd /sgl-workspace/DeepEP && \
case "$CUDA_VERSION" in \
12.6.1) \
CHOSEN_TORCH_CUDA_ARCH_LIST='9.0' \
;; \
12.8.1) \
# FIXED: 12.8.1 does NOT support Blackwell 10.3 \
CHOSEN_TORCH_CUDA_ARCH_LIST='9.0;10.0' \
;; \
12.9.1|13.0.1) \
# 12.9.1+ properly supports Blackwell 10.3 \
CHOSEN_TORCH_CUDA_ARCH_LIST='9.0;10.0;10.3' \
;; \
*) \
echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1 \
;; \
esac && \
if [ "${CUDA_VERSION%%.*}" = "13" ]; then \
sed -i "/^ include_dirs = \['csrc\/'\]/a\ include_dirs.append('${CUDA_HOME}/include/cccl')" setup.py; \
fi && \
TORCH_CUDA_ARCH_LIST="${CHOSEN_TORCH_CUDA_ARCH_LIST}" MAX_JOBS=${BUILD_AND_DOWNLOAD_PARALLEL} pip install --no-build-isolation .
# Install Mooncake
RUN --mount=type=cache,target=/root/.cache/pip \
CUDA_MAJOR="${CUDA_VERSION%%.*}" && \
if [ "$CUDA_MAJOR" -ge 13 ]; then \
echo "CUDA >= 13, installing mooncake-transfer-engine from source code"; \
git clone --branch v${MOONCAKE_VERSION} --depth 1 https://github.com/kvcache-ai/Mooncake.git && \
cd Mooncake && \
bash dependencies.sh && \
mkdir -p build && \
cd build && \
cmake .. ${MOONCAKE_COMPILE_ARG} && \
make -j$(nproc) && \
make install; \
else \
echo "CUDA < 13, installing mooncake-transfer-engine from pip"; \
python3 -m pip install mooncake-transfer-engine==${MOONCAKE_VERSION}; \
fi
# Install essential Python packages
RUN --mount=type=cache,target=/root/.cache/pip \
python3 -m pip install \
datamodel_code_generator \
pre-commit \
pytest \
black \
isort \
icdiff \
uv \
wheel \
scikit-build-core \
nixl \
py-spy \
cubloaty \
google-cloud-storage
# Build and install sgl-model-gateway (install Rust, build, then remove Rust toolchain)
# Cleanup runs unconditionally via trap to ensure Rust artifacts don't bloat the layer
RUN --mount=type=cache,target=/root/.cache/pip \
cleanup() { rm -rf /root/.cargo /root/.rustup /sgl-workspace/sglang/sgl-model-gateway/target /sgl-workspace/sglang/sgl-model-gateway/bindings/python/target /sgl-workspace/sglang/sgl-model-gateway/bindings/python/dist; sed -i '/\.cargo\/env/d' /root/.profile /root/.bashrc 2>/dev/null; } \
&& trap cleanup EXIT \
&& curl --proto '=https' --tlsv1.2 --retry 3 --retry-delay 2 -sSf https://sh.rustup.rs | sh -s -- -y \
&& export PATH="/root/.cargo/bin:${PATH}" \
&& rustc --version && cargo --version \
&& python3 -m pip install maturin \
&& cd /sgl-workspace/sglang/sgl-model-gateway/bindings/python \
&& ulimit -n 65536 && maturin build --release --features vendored-openssl --out dist \
&& python3 -m pip install --force-reinstall dist/*.whl \
&& cd /sgl-workspace/sglang/sgl-model-gateway \
&& cargo build --release --bin sgl-model-gateway --features vendored-openssl \
&& cp target/release/sgl-model-gateway /usr/local/bin/sgl-model-gateway
RUN --mount=type=cache,target=/root/.cache/pip \
python3 -m pip install "nvidia-cutlass-dsl>=4.4.1" "nvidia-cutlass-dsl-libs-base>=4.4.1" --force-reinstall --no-deps;
# Patching packages for CUDA 12/13 compatibility
# TODO: Remove when torch version covers these packages
RUN --mount=type=cache,target=/root/.cache/pip if [ "${CUDA_VERSION%%.*}" = "12" ]; then \
python3 -m pip install nvidia-nccl-cu12==2.28.3 --force-reinstall --no-deps ; \
python3 -m pip install nvidia-cudnn-cu12==9.16.0.29 --force-reinstall --no-deps ; \
python3 -m pip install cuda-python==12.9 ; \
elif [ "${CUDA_VERSION%%.*}" = "13" ]; then \
python3 -m pip install nvidia-nccl-cu13==2.28.3 --force-reinstall --no-deps ; \
python3 -m pip install nvidia-cudnn-cu13==9.16.0.29 --force-reinstall --no-deps ; \
python3 -m pip install nvidia-cublas==13.1.0.3 --force-reinstall --no-deps ; \
python3 -m pip install nixl-cu13 --no-deps ; \
python3 -m pip install cuda-python==13.2.0 ; \
fi
# Install development tools
RUN --mount=type=cache,target=/var/cache/apt,id=framework-apt \
apt-get update && apt-get install -y --no-install-recommends \
gdb \
ninja-build \
vim \
tmux \
htop \
zsh \
tree \
silversearcher-ag \
cloc \
pkg-config \
bear \
less \
rdma-core \
openssh-server \
gnuplot \
infiniband-diags \
perftest \
ibverbs-providers \
libibumad3 \
libibverbs1 \
libnl-3-200 \
libnl-route-3-200 \
librdmacm1 \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get clean
# Install NVIDIA development tools
RUN --mount=type=cache,target=/var/cache/apt,id=framework-apt \
apt update -y \
&& apt install -y --no-install-recommends gnupg \
&& echo "deb http://developer.download.nvidia.com/devtools/repos/ubuntu2004/$(if [ "$(uname -m)" = "aarch64" ]; then echo "arm64"; else echo "amd64"; fi) /" | tee /etc/apt/sources.list.d/nvidia-devtools.list \
&& apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/$(if [ "$(uname -m)" = "aarch64" ]; then echo "arm64"; else echo "x86_64"; fi)/7fa2af80.pub \
&& apt update -y \
&& apt install -y --no-install-recommends nsight-systems-cli \
&& rm -rf /var/lib/apt/lists/*
# Install minimal Python dev packages
RUN --mount=type=cache,target=/root/.cache/pip \
python3 -m pip install --break-system-packages \
pytest \
black \
isort \
icdiff \
scikit-build-core \
uv \
pre-commit \
pandas \
matplotlib \
tabulate \
termplotlib
# diff-so-fancy
RUN curl --retry 3 --retry-delay 2 -LSso /usr/local/bin/diff-so-fancy \
https://${GITHUB_ARTIFACTORY}/so-fancy/diff-so-fancy/releases/download/v1.4.4/diff-so-fancy \
&& chmod +x /usr/local/bin/diff-so-fancy
# clang-format
RUN curl --retry 3 --retry-delay 2 -LSso /usr/local/bin/clang-format \
https://${GITHUB_ARTIFACTORY}/muttleyxd/clang-tools-static-binaries/releases/download/master-32d3ac78/clang-format-16_linux-amd64 \
&& chmod +x /usr/local/bin/clang-format
# clangd
RUN curl --retry 3 --retry-delay 2 -fsSL -o clangd.zip \
https://${GITHUB_ARTIFACTORY}/clangd/clangd/releases/download/18.1.3/clangd-linux-18.1.3.zip \
&& unzip -q clangd.zip \
&& cp -r clangd_18.1.3/bin/* /usr/local/bin/ \
&& cp -r clangd_18.1.3/lib/* /usr/local/lib/ \
&& rm -rf clangd_18.1.3 clangd.zip
# CMake
RUN CMAKE_VERSION=3.31.1 \
&& ARCH=$(uname -m) \
&& CMAKE_INSTALLER="cmake-${CMAKE_VERSION}-linux-${ARCH}" \
&& curl --retry 3 --retry-delay 2 -fsSL -o "${CMAKE_INSTALLER}.tar.gz" \
"https://${GITHUB_ARTIFACTORY}/Kitware/CMake/releases/download/v${CMAKE_VERSION}/${CMAKE_INSTALLER}.tar.gz" \
&& tar -xzf "${CMAKE_INSTALLER}.tar.gz" \
&& cp -r "${CMAKE_INSTALLER}/bin/"* /usr/local/bin/ \
&& cp -r "${CMAKE_INSTALLER}/share/"* /usr/local/share/ \
&& rm -rf "${CMAKE_INSTALLER}" "${CMAKE_INSTALLER}.tar.gz"
# Install just
RUN curl --proto '=https' --tlsv1.2 --retry 3 --retry-delay 2 -sSf https://just.systems/install.sh | \
sed "s|https://github.com|https://${GITHUB_ARTIFACTORY}|g" | \
bash -s -- --tag 1.42.4 --to /usr/local/bin
# Add yank script
COPY --chown=root:root --chmod=755 docker/configs/yank /usr/local/bin/yank
# Install oh-my-zsh and plugins
RUN sh -c "$(curl --retry 3 --retry-delay 2 -fsSL https://raw.githubusercontent.com/ohmyzsh/ohmyzsh/master/tools/install.sh)" "" --unattended \
&& git clone --depth 1 https://github.com/zsh-users/zsh-autosuggestions ${ZSH_CUSTOM:-~/.oh-my-zsh/custom}/plugins/zsh-autosuggestions \
&& git clone --depth 1 https://github.com/zsh-users/zsh-syntax-highlighting.git ${ZSH_CUSTOM:-~/.oh-my-zsh/custom}/plugins/zsh-syntax-highlighting
# These configs are optional; users can override them by mounting their own files
COPY docker/configs/opt/.vimrc /opt/sglang/.vimrc
COPY docker/configs/opt/.tmux.conf /opt/sglang/.tmux.conf
COPY docker/configs/opt/.gitconfig /opt/sglang/.gitconfig
# Configure development environment
COPY docker/configs/.zshrc /root/.zshrc
# Fix Triton to use system ptxas for Blackwell (sm_103a) support (CUDA 13+ only)
RUN if [ "${CUDA_VERSION%%.*}" = "13" ] && [ -d /usr/local/lib/python3.12/dist-packages/triton/backends/nvidia/bin ]; then \
rm -f /usr/local/lib/python3.12/dist-packages/triton/backends/nvidia/bin/ptxas && \
ln -s /usr/local/cuda/bin/ptxas /usr/local/lib/python3.12/dist-packages/triton/backends/nvidia/bin/ptxas; \
fi
RUN python3 -m pip install --upgrade "urllib3>=2.6.3" "pillow>=12.1.1"
# Set workspace directory
WORKDIR /sgl-workspace/sglang
########################################################
########## Runtime Image ##############################
########################################################
#
# PURPOSE: Production runtime environment with JIT support
#
# This stage creates a production-ready image containing:
# - Pre-compiled SGLang and DeepEP components
# - Full CUDA toolchain for JIT compilation (DeepGEMM, Triton, FlashInfer)
# - Optimized for inference workloads and deployment
# - Smaller than framework (no dev tools like vim, tmux, nsight, etc.)
#
# Use this stage when you need:
# - Production deployment of SGLang
# - JIT compilation support for FP8/microscaling kernels
# - Ready-to-run inference server environment
#
# Note: Uses devel base for complete NVCC toolchain required by DeepGEMM JIT
FROM nvidia/cuda:${CUDA_VERSION}-cudnn-devel-ubuntu24.04 AS runtime
ARG CUDA_VERSION
ARG TARGETARCH
ARG GDRCOPY_VERSION=2.5.1
ENV DEBIAN_FRONTEND=noninteractive \
CUDA_HOME=/usr/local/cuda \
GDRCOPY_HOME=/usr/src/gdrdrv-${GDRCOPY_VERSION}/
# Add GKE default lib and bin locations + CUDA compiler paths for FlashInfer JIT
ENV PATH="${PATH}:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/cuda/nvvm/bin" \
LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib:/usr/local/nvidia/lib64"
# Install runtime dependencies (devel base provides gcc/g++/build tools)
RUN --mount=type=cache,target=/var/cache/apt,id=runtime-apt \
apt-get update && apt-get install -y --no-install-recommends \
# Python runtime
software-properties-common \
&& add-apt-repository ppa:deadsnakes/ppa -y \
&& apt-get update && apt-get install -y --no-install-recommends --allow-change-held-packages \
python3.12-full \
python3.12-dev \
wget \
# Core system utilities
ca-certificates \
netcat-openbsd \
curl \
git \
# Runtime libraries
libopenmpi3 \
libnuma1 \
libibverbs1 \
libibumad3 \
librdmacm1 \
libnl-3-200 \
libnl-route-3-200 \
ibverbs-providers \
libgoogle-glog0v6t64 \
libunwind8 \
libboost-system1.83.0 \
libboost-thread1.83.0 \
libboost-filesystem1.83.0 \
libgrpc++1.51t64 \
libprotobuf32t64 \
libhiredis1.1.0 \
libcurl4 \
libczmq4 \
libfabric1 \
libssl3 \
# RDMA runtime
rdma-core \
infiniband-diags \
perftest \
# Build tools for JIT compilation
ninja-build \
# NCCL packages needed for pynccl_allocator JIT compilation (-lnccl)
libnccl2 \
libnccl-dev \
# GPG key verification
gnupg2 \
linux-libc-dev \
&& update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.12 2 \
&& update-alternatives --set python3 /usr/bin/python3.12 \
&& ln -sf /usr/bin/python3.12 /usr/bin/python \
&& wget -q https://bootstrap.pypa.io/get-pip.py \
&& python3 get-pip.py --break-system-packages \
&& rm get-pip.py \
# Allow pip to install packages globally (PEP 668 workaround for Ubuntu 24.04)
&& python3 -m pip config set global.break-system-packages true \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get clean
# Set up locale
RUN apt-get update && apt-get install -y --no-install-recommends locales \
&& locale-gen en_US.UTF-8 \
&& rm -rf /var/lib/apt/lists/*
ENV LANG=en_US.UTF-8 \
LANGUAGE=en_US:en \
LC_ALL=en_US.UTF-8
# Copy Python site-packages from framework (contains all built packages)
COPY --from=framework /usr/local/lib/python3.12/dist-packages /usr/local/lib/python3.12/dist-packages
# Copy SGLang workspace
COPY --from=framework /sgl-workspace /sgl-workspace
# Fix Triton to use system ptxas for Blackwell (sm_103a) support (CUDA 13+ only)
RUN if [ "${CUDA_VERSION%%.*}" = "13" ] && [ -d /usr/local/lib/python3.12/dist-packages/triton/backends/nvidia/bin ]; then \
rm -f /usr/local/lib/python3.12/dist-packages/triton/backends/nvidia/bin/ptxas && \
ln -s /usr/local/cuda/bin/ptxas /usr/local/lib/python3.12/dist-packages/triton/backends/nvidia/bin/ptxas; \
fi
# Copy GDRCopy runtime libraries (but not the build artifacts)
COPY --from=framework /usr/lib/libgdrapi.so* /usr/lib/
COPY --from=framework /usr/bin/gdrcopy_* /usr/bin/
COPY --from=framework /usr/src/gdrdrv-2.5.1 /usr/src/gdrdrv-2.5.1
# Fix DeepEP IBGDA symlink in runtime
RUN ln -sf /usr/lib/$(uname -m)-linux-gnu/libmlx5.so.1 /usr/lib/$(uname -m)-linux-gnu/libmlx5.so
WORKDIR /sgl-workspace/sglang
# Default command
CMD ["/bin/bash"]

35
third_party/sglang/docker/compose.yaml vendored Normal file
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services:
sglang:
image: lmsysorg/sglang:latest
container_name: sglang
volumes:
- ${HOME}/.cache/huggingface:/root/.cache/huggingface
# If you use modelscope, you need mount this directory
# - ${HOME}/.cache/modelscope:/root/.cache/modelscope
restart: always
network_mode: host # required by RDMA
privileged: true # required by RDMA
# Or you can only publish port 30000
# ports:
# - 30000:30000
environment:
- HF_TOKEN=<secret>
# if you use modelscope to download model, you need set this environment
# - SGLANG_USE_MODELSCOPE=true
entrypoint: python3 -m sglang.launch_server
command: --model-path meta-llama/Llama-3.1-8B-Instruct
--host 0.0.0.0
--port 30000
ulimits:
memlock: -1
stack: 67108864
ipc: host
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:30000/health || exit 1"]
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities: [gpu]

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export ZSH="/root/.oh-my-zsh"
# Theme
ZSH_THEME="robbyrussell"
# Plugins
plugins=(
git
z
zsh-autosuggestions
zsh-syntax-highlighting
)
source $ZSH/oh-my-zsh.sh
# Aliases
alias ll='ls -alF'
alias la='ls -A'
alias l='ls -CF'
alias vi='vim'
# Enhanced history
HISTSIZE=10000
SAVEHIST=10000
setopt HIST_IGNORE_ALL_DUPS
setopt HIST_FIND_NO_DUPS
setopt INC_APPEND_HISTORY

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@@ -0,0 +1,30 @@
[core]
editor = vim
whitespace = fix,-indent-with-non-tab,trailing-space,cr-at-eol
pager = diff-so-fancy | less --tabs=4 -RFX
[color]
ui = true
[color "diff-highlight"]
oldNormal = red bold
oldHighlight = red bold 52
newNormal = green bold
newHighlight = green bold 22
[color "diff"]
meta = 11
frag = magenta bold
commit = yellow bold
old = red bold
new = green bold
whitespace = red reverse
[alias]
lg = log --color --graph --pretty=format:'%Cred%h%Creset - %s %Cgreen(%cr) %C(bold blue)<%an>%Creset%C(auto)%d%Creset' --abbrev-commit --
[http]
sslVerify = false
[pull]
rebase = true

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@@ -0,0 +1,27 @@
# Pane border styling
set -g pane-border-style fg='#742727',bg=black
set -g pane-active-border-style fg=red,bg=black
# Status bar styling
set -g status-style bg='#0C8A92',fg=black
# Change prefix key to backtick
set-option -g prefix `
unbind C-b
bind-key ` send-prefix
# Split panes using - and = with current path
unbind '"'
bind - splitw -v -c '#{pane_current_path}'
unbind '%'
bind = splitw -h -c '#{pane_current_path}'
# Vi mode settings
bind-key -T copy-mode-vi Y send-keys -X copy-pipe 'yank > #{pane_tty}'
set-window-option -g mode-keys vi
# Other settings
set-option -g escape-time 0
set-option -g base-index 1
set-window-option -g mouse on
set -g history-limit 100000

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function! Yank(text) abort
let escape = system('yank', a:text)
if v:shell_error
echoerr escape
else
call writefile([escape], '/dev/tty', 'b')
endif
endfunction
noremap <silent> <Leader>y y:<C-U>call Yank(@0)<CR>
" automatically run yank(1) whenever yanking in Vim
function! CopyYank() abort
call Yank(join(v:event.regcontents, "\n"))
endfunction
autocmd TextYankPost * call CopyYank()
" Basic settings
set number
syntax on
set mouse=a
filetype indent on
" Indentation
set autoindent nosmartindent
set smarttab
set expandtab
set shiftwidth=4
set softtabstop=4
" Visual guides
set colorcolumn=120
highlight ColorColumn ctermbg=5
" Status line
set laststatus=2
set statusline=%<%f\ %h%m%r%=%{\"[\".(&fenc==\"\"?&enc:&fenc).((exists(\"+bomb\")\ &&\ &bomb)?\",B\":\"\").\"]\ \"}%k\ %-14.(%l,%c%V%)\ %P
" Backspace behavior
set backspace=2
" Encoding
set encoding=utf-8
set fileencoding=utf-8

12
third_party/sglang/docker/configs/yank vendored Executable file
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@@ -0,0 +1,12 @@
#!/bin/bash
put() {
esc=$1
test -n "$TMUX" -o -z "${TERM##screen*}" && esc="\033Ptmux;\033$esc\033\\"
printf "$esc"
}
put "\033]52;c;!\a"
buf=$( cat "$@" )
len=$( printf %s "$buf" | wc -c ) max=74994
test $len -gt $max && echo "$0: input is $(( len - max )) bytes too long" >&2
put "\033]52;c;$( printf %s "$buf" | head -c $max | base64 | tr -d '\r\n' )\a"
test -n "$TMUX" && tmux set-buffer "$buf" ||:

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@@ -0,0 +1,104 @@
FROM nvidia/cuda:12.8.0-cudnn-devel-ubuntu22.04
ENV DEBIAN_FRONTEND=noninteractive
SHELL ["/bin/bash", "-c"]
WORKDIR /sgl-workspace/sglang
RUN apt-get update && apt-get install -y --no-install-recommends \
wget \
git \
ca-certificates \
openssh-server \
zsh \
vim \
curl \
gcc-11 \
g++-11 \
clang-11 \
libnuma1 libnuma-dev \
&& rm -rf /var/lib/apt/lists/*
# Install oh-my-zsh and plugins
RUN sh -c "$(curl -fsSL https://raw.githubusercontent.com/ohmyzsh/ohmyzsh/master/tools/install.sh)" "" --unattended \
&& git clone https://github.com/zsh-users/zsh-autosuggestions ${ZSH_CUSTOM:-~/.oh-my-zsh/custom}/plugins/zsh-autosuggestions \
&& git clone https://github.com/zsh-users/zsh-syntax-highlighting.git ${ZSH_CUSTOM:-~/.oh-my-zsh/custom}/plugins/zsh-syntax-highlighting
# Set up C++20 compilers for ThunderKittens
RUN update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-11 100 --slave /usr/bin/g++ g++ /usr/bin/g++-11
# Set CUDA environment variables
ENV CUDA_HOME=/usr/local/cuda-12.8
ENV PATH=${CUDA_HOME}/bin:${PATH}
ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:$LD_LIBRARY_PATH
# Install uv and source its environment
RUN curl -LsSf https://astral.sh/uv/install.sh | sh && \
echo 'source $HOME/.local/bin/env' >> /root/.zshrc
# Copy just the pyproject.toml first to leverage Docker cache
COPY python/pyproject.toml python/
# Create a dummy README to satisfy the installation
RUN mkdir -p python && echo "# Placeholder" > python/README.md
# Create and activate virtual environment with specific Python version and seed
RUN source $HOME/.local/bin/env && \
uv venv --python 3.12 --seed /opt/venv && \
source /opt/venv/bin/activate && \
uv pip install nvitop && \
uv pip install --no-cache-dir --upgrade pip && \
uv pip install --no-cache-dir --prerelease=allow ./python[diffusion]
COPY . .
# Install dependencies using uv and set up shell configuration
RUN source $HOME/.local/bin/env && \
source /opt/venv/bin/activate && \
git config --unset-all http.https://github.com/.extraheader || true && \
echo 'source /opt/venv/bin/activate' >> /root/.zshrc && \
echo 'if [ -n "$ZSH_VERSION" ] && [ -f ~/.zshrc ]; then . ~/.zshrc; elif [ -f ~/.bashrc ]; then . ~/.bashrc; fi' > /root/.profile
# Set PATH to include venv bin
ENV PATH=/opt/venv/bin:$PATH
# Configure zsh
COPY --chown=root:root <<-"EOF" /root/.zshrc
export ZSH="/root/.oh-my-zsh"
source $HOME/.local/bin/env
source /opt/venv/bin/activate
## Theme
ZSH_THEME="robbyrussell"
## Plugins
plugins=(
git
z
zsh-autosuggestions
zsh-syntax-highlighting
)
source $ZSH/oh-my-zsh.sh
## Aliases
alias ll='ls -alF'
alias la='ls -A'
alias l='ls -CF'
alias vi='vim'
## Enhanced history
HISTSIZE=10000
SAVEHIST=10000
setopt HIST_IGNORE_ALL_DUPS
setopt HIST_FIND_NO_DUPS
setopt INC_APPEND_HISTORY
EOF
EXPOSE 22
CMD ["/bin/zsh"]

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@@ -0,0 +1,77 @@
######################## BASE IMAGE ##########################
FROM ubuntu:24.04 AS base
ARG PYTHON_VERSION=3.12
# set the environment variables
ENV PATH="/root/.local/bin:${PATH}"
ENV DEBIAN_FRONTEND=noninteractive
# uv environment variables
ENV UV_HTTP_TIMEOUT=500
ENV VIRTUAL_ENV="/opt/venv"
ENV UV_PYTHON_INSTALL_DIR=/opt/uv/python
ENV UV_LINK_MODE="copy"
ENV PATH="$VIRTUAL_ENV/bin:$PATH"
# install dependencies
RUN apt update -y \
&& apt install -y curl \
&& rm -rf /var/lib/apt/lists/* \
&& apt clean
# install uv
RUN curl -LsSf https://astral.sh/uv/install.sh | sh
# install python
RUN uv venv --python ${PYTHON_VERSION} --seed ${VIRTUAL_ENV}
FROM scratch AS local_src
COPY . /src
######################### BUILD IMAGE #########################
FROM base AS build-image
# set the environment variables
ENV PATH="/root/.cargo/bin:${PATH}"
# install dependencies
RUN apt update -y \
&& apt install -y git build-essential libssl-dev pkg-config protobuf-compiler \
&& rm -rf /var/lib/apt/lists/* \
&& apt clean
# install rustup from rustup.rs
RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y \
&& rustc --version && cargo --version && protoc --version
# copy source code
COPY --from=local_src /src /opt/sglang
# working directory
WORKDIR /opt/sglang/sgl-model-gateway
# install maturin and build the wheel with vendored OpenSSL
RUN uv pip install maturin \
&& cargo clean \
&& rm -rf bindings/python/dist/ \
&& cd bindings/python \
&& ulimit -n 65536 && maturin build --release --features vendored-openssl --out dist \
&& rm -rf /root/.cache
######################### ROUTER IMAGE #########################
FROM base AS router-image
# Copy the built package from the build image
COPY --from=build-image /opt/sglang/sgl-model-gateway/bindings/python/dist/*.whl dist/
# Build the package and install
RUN uv pip install --force-reinstall dist/*.whl
# Clean up unnecessary files to reduce the image size
RUN rm -rf /root/.cache dist/ \
&& apt purge -y --auto-remove curl
# Set the entrypoint to the main command
ENTRYPOINT ["python3", "-m", "sglang_router.launch_router"]

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@@ -0,0 +1,103 @@
# Two Nodes Sglang example
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: distributed-sglang
spec:
replicas: 2 # number of nodes/pods to run distributed sglang
selector:
matchLabels:
app: distributed-sglang
serviceName: ""
template:
metadata:
labels:
app: distributed-sglang
spec:
containers:
- name: sglang-container
image: docker.io/lmsysorg/sglang:latest
imagePullPolicy: Always # image may be replaced by official CI versioned image
command:
- /bin/bash
- -c
# please modify the sglang serving arguments below, as necessary.
# NOTE: the --expert-parallel-size is for MoE model like DeepSeek-R1
args:
- |
python3 -m sglang.launch_server \
--model /llm-folder \
--dist-init-addr sglang-master-pod:5000 \
--tensor-parallel-size 16 \
--nnodes 2 \
--node-rank $POD_INDEX \
--trust-remote-code \
--host 0.0.0.0 \
--port 8000 \
--enable-metrics \
--expert-parallel-size 16
env:
- name: POD_INDEX # reflects the node-rank
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.labels['apps.kubernetes.io/pod-index']
- name: NCCL_DEBUG
value: INFO
resources:
limits:
nvidia.com/gpu: "8"
requests:
volumeMounts:
- mountPath: /dev/shm
name: dshm
- mountPath: /llm-folder
name: llm
securityContext:
privileged: true # to leverage RDMA/InfiniBand device, co-work with HostNetwork=true
hostNetwork: true
volumes:
- emptyDir:
medium: Memory
sizeLimit: 10Gi
name: dshm
- hostPath:
path: /llm-folder # replace with PVC or hostPath with your model weights
type: DirectoryOrCreate
name: llm
#- persistentVolumeClaim:
# claimName: llm-pvc
# name: llm
---
apiVersion: v1
kind: Service
metadata:
name: sglang-master-pod
spec:
type: ClusterIP
selector:
app: distributed-sglang
apps.kubernetes.io/pod-index: "0"
ports:
- name: dist-port
port: 5000
targetPort: 5000
---
# the serving service
apiVersion: v1
kind: Service
metadata:
name: sglang-serving-on-master
spec:
type: NodePort
selector:
app: distributed-sglang
apps.kubernetes.io/pod-index: "0"
ports:
- name: serving
port: 8000
targetPort: 8000
- name: metrics
port: 8080
targetPort: 8080

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@@ -0,0 +1,117 @@
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: llama-31-8b-sglang
spec:
accessModes:
- ReadWriteMany
resources:
requests:
storage: 30Gi
storageClassName: default # change this to your preferred storage class
volumeMode: Filesystem
---
apiVersion: node.k8s.io/v1
kind: RuntimeClass
metadata:
name: nvidia
handler: nvidia
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: meta-llama-31-8b-instruct-sglang
spec:
replicas: 1
strategy:
type: Recreate
selector:
matchLabels:
app: meta-llama-31-8b-instruct-sglang
template:
metadata:
labels:
app: meta-llama-31-8b-instruct-sglang
model: meta-llama-31-8b-instruct
engine: sglang
spec:
restartPolicy: Always
runtimeClassName: nvidia
containers:
- name: meta-llama-31-8b-instruct-sglang
image: docker.io/lmsysorg/sglang:latest
imagePullPolicy: Always # IfNotPresent or Never
ports:
- containerPort: 30000
command: ["python3", "-m", "sglang.launch_server"]
args:
[
"--model-path",
"meta-llama/Llama-3.1-8B-Instruct",
"--host",
"0.0.0.0",
"--port",
"30000",
]
env:
- name: HF_TOKEN
value: <secret>
resources:
limits:
nvidia.com/gpu: 1
cpu: 8
memory: 40Gi
requests:
cpu: 2
memory: 16Gi
nvidia.com/gpu: 1
volumeMounts:
- name: shm
mountPath: /dev/shm
- name: hf-cache
mountPath: /root/.cache/huggingface
- name: localtime
mountPath: /etc/localtime
readOnly: true
livenessProbe:
httpGet:
path: /health
port: 30000
initialDelaySeconds: 120
periodSeconds: 15
timeoutSeconds: 10
failureThreshold: 3
readinessProbe:
httpGet:
path: /health_generate
port: 30000
initialDelaySeconds: 120
periodSeconds: 15
timeoutSeconds: 10
failureThreshold: 3
successThreshold: 1
volumes:
- name: shm
emptyDir:
medium: Memory
sizeLimit: 10Gi
- name: hf-cache
persistentVolumeClaim:
claimName: llama-31-8b-sglang
- name: localtime
hostPath:
path: /etc/localtime
type: File
---
apiVersion: v1
kind: Service
metadata:
name: meta-llama-31-8b-instruct-sglang
spec:
selector:
app: meta-llama-31-8b-instruct-sglang
ports:
- protocol: TCP
port: 80 # port on host
targetPort: 30000 # port in container
type: LoadBalancer # change to ClusterIP if needed

104
third_party/sglang/docker/npu.Dockerfile vendored Normal file
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ARG CANN_VERSION=8.5.0
ARG DEVICE_TYPE=a3
ARG OS=ubuntu22.04
ARG PYTHON_VERSION=py3.11
FROM quay.io/ascend/cann:$CANN_VERSION-$DEVICE_TYPE-$OS-$PYTHON_VERSION
# Update pip & apt sources
ARG TARGETARCH
ARG CANN_VERSION
ARG DEVICE_TYPE
ARG PIP_INDEX_URL="https://pypi.org/simple/"
ARG APTMIRROR=""
ARG PYTORCH_VERSION="2.8.0"
ARG TORCHVISION_VERSION="0.23.0"
ARG PTA_URL_ARM64="https://gitcode.com/Ascend/pytorch/releases/download/v7.3.0-pytorch2.8.0/torch_npu-2.8.0.post2-cp311-cp311-manylinux_2_28_aarch64.whl"
ARG PTA_URL_AMD64="https://gitcode.com/Ascend/pytorch/releases/download/v7.3.0-pytorch2.8.0/torch_npu-2.8.0.post2-cp311-cp311-manylinux_2_28_x86_64.whl"
ARG SGLANG_TAG=main
ARG ASCEND_CANN_PATH=/usr/local/Ascend/ascend-toolkit
ARG SGLANG_KERNEL_NPU_TAG=main
ARG PIP_INSTALL="python3 -m pip install --no-cache-dir"
ARG DEVICE_TYPE
RUN if [ "$TARGETARCH" = "amd64" ]; then \
echo "Using x86_64 dependencies"; \
echo "PTA_URL=$PTA_URL_AMD64" >> /etc/environment_new; \
elif [ "$TARGETARCH" = "arm64" ]; then \
echo "Using aarch64 dependencies"; \
echo "PTA_URL=$PTA_URL_ARM64" >> /etc/environment_new; \
else \
echo "Unsupported TARGETARCH: $TARGETARCH"; exit 1; \
fi
WORKDIR /workspace
# Define environments
ENV DEBIAN_FRONTEND=noninteractive
RUN pip config set global.index-url $PIP_INDEX_URL
RUN if [ -n "$APTMIRROR" ];then sed -i "s|.*.ubuntu.com|$APTMIRROR|g" /etc/apt/sources.list ;fi
# Install development tools and utilities
RUN apt-get update -y && apt upgrade -y && apt-get install -y \
unzip \
build-essential \
cmake \
vim \
wget \
curl \
net-tools \
zlib1g-dev \
lld \
clang \
locales \
ccache \
openssl \
libssl-dev \
pkg-config \
libgl1-mesa-glx \
libgl1-mesa-dri \
ca-certificates \
&& rm -rf /var/cache/apt/* \
&& rm -rf /var/lib/apt/lists/* \
&& update-ca-certificates \
&& locale-gen en_US.UTF-8
ENV LANG=en_US.UTF-8
ENV LANGUAGE=en_US:en
ENV LC_ALL=en_US.UTF-8
### Install MemFabric
RUN ${PIP_INSTALL} memfabric-hybrid==1.0.5
### Install SGLang Model Gateway
RUN ${PIP_INSTALL} sglang-router
### Install PyTorch and PTA
RUN . /etc/environment_new && \
(${PIP_INSTALL} torch==${PYTORCH_VERSION} torchvision==${TORCHVISION_VERSION} --index-url https://download.pytorch.org/whl/cpu) \
&& (${PIP_INSTALL} ${PTA_URL})
## Install triton-ascend
RUN (${PIP_INSTALL} pybind11 triton-ascend)
# Install SGLang
RUN git clone https://github.com/sgl-project/sglang --branch $SGLANG_TAG && \
(cd sglang/python && rm -rf pyproject.toml && mv pyproject_npu.toml pyproject.toml && ${PIP_INSTALL} -v .[all_npu]) && \
rm -rf sglang
# Install Deep-ep
# pin wheel to 0.45.1 ref: https://github.com/pypa/wheel/issues/662
RUN ${PIP_INSTALL} wheel==0.45.1 pybind11 pyyaml decorator scipy attrs psutil \
&& mkdir sgl-kernel-npu \
&& cd sgl-kernel-npu \
&& wget https://github.com/sgl-project/sgl-kernel-npu/releases/download/${SGLANG_KERNEL_NPU_TAG}/sgl-kernel-npu-${SGLANG_KERNEL_NPU_TAG}-torch2.8.0-py311-cann${CANN_VERSION}-${DEVICE_TYPE}-$(arch).zip \
&& unzip sgl-kernel-npu-${SGLANG_KERNEL_NPU_TAG}-torch2.8.0-py311-cann${CANN_VERSION}-${DEVICE_TYPE}-$(arch).zip \
&& ${PIP_INSTALL} deep_ep*.whl sgl_kernel_npu*.whl \
&& cd .. && rm -rf sgl-kernel-npu \
&& cd "$(python3 -m pip show deep-ep | awk '/^Location:/ {print $2}')" && ln -sf deep_ep/deep_ep_cpp*.so
CMD ["/bin/bash"]

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@@ -0,0 +1,556 @@
# Usage (to build SGLang ROCm docker image):
# docker build --build-arg SGL_BRANCH=v0.5.9 --build-arg GPU_ARCH=gfx942 -t v0.5.9-rocm700-mi30x -f rocm.Dockerfile .
# docker build --build-arg SGL_BRANCH=v0.5.9 --build-arg GPU_ARCH=gfx942-rocm720 -t v0.5.9-rocm720-mi30x -f rocm.Dockerfile .
# docker build --build-arg SGL_BRANCH=v0.5.9 --build-arg GPU_ARCH=gfx950 -t v0.5.9-rocm700-mi35x -f rocm.Dockerfile .
# docker build --build-arg SGL_BRANCH=v0.5.9 --build-arg GPU_ARCH=gfx950-rocm720 -t v0.5.9-rocm720-mi35x -f rocm.Dockerfile .
# Usage (to build SGLang ROCm + Mori docker image):
# docker build --build-arg SGL_BRANCH=v0.5.9 --build-arg GPU_ARCH=gfx942 --build-arg ENABLE_MORI=1 --build-arg NIC_BACKEND=ainic -t v0.5.9-rocm700-mi30x -f rocm.Dockerfile .
# docker build --build-arg SGL_BRANCH=v0.5.9 --build-arg GPU_ARCH=gfx942-rocm720 --build-arg ENABLE_MORI=1 --build-arg NIC_BACKEND=ainic -t v0.5.9-rocm720-mi30x -f rocm.Dockerfile .
# docker build --build-arg SGL_BRANCH=v0.5.9 --build-arg GPU_ARCH=gfx950 --build-arg ENABLE_MORI=1 --build-arg NIC_BACKEND=ainic -t v0.5.9-rocm700-mi35x -f rocm.Dockerfile .
# docker build --build-arg SGL_BRANCH=v0.5.9 --build-arg GPU_ARCH=gfx950-rocm720 --build-arg ENABLE_MORI=1 --build-arg NIC_BACKEND=ainic -t v0.5.9-rocm720-mi35x -f rocm.Dockerfile .
# Default base images
ARG BASE_IMAGE_942="rocm/sgl-dev:rocm7-vllm-20250904"
ARG BASE_IMAGE_942_ROCM720="rocm/pytorch:rocm7.2_ubuntu22.04_py3.10_pytorch_release_2.9.1"
ARG BASE_IMAGE_950="rocm/sgl-dev:rocm7-vllm-20250904"
ARG BASE_IMAGE_950_ROCM720="rocm/pytorch:rocm7.2_ubuntu22.04_py3.10_pytorch_release_2.9.1"
# This is necessary for scope purpose
ARG GPU_ARCH=gfx950
# ===============================
# Base image 942 with rocm700 and args
FROM $BASE_IMAGE_942 AS gfx942
ENV BUILD_VLLM="0"
ENV BUILD_TRITON="0"
ENV BUILD_LLVM="0"
ENV BUILD_AITER_ALL="1"
ENV BUILD_MOONCAKE="1"
ENV AITER_COMMIT_DEFAULT="v0.1.11.post1"
# ===============================
# Base image 942 with rocm720 and args
FROM $BASE_IMAGE_942_ROCM720 AS gfx942-rocm720
ENV BUILD_VLLM="0"
ENV BUILD_TRITON="1"
ENV BUILD_LLVM="0"
ENV BUILD_AITER_ALL="1"
ENV BUILD_MOONCAKE="1"
ENV AITER_COMMIT_DEFAULT="v0.1.11.post1"
# ===============================
# Base image 950 and args
FROM $BASE_IMAGE_950 AS gfx950
ENV BUILD_VLLM="0"
ENV BUILD_TRITON="0"
ENV BUILD_LLVM="0"
ENV BUILD_AITER_ALL="1"
ENV BUILD_MOONCAKE="1"
ENV AITER_COMMIT_DEFAULT="v0.1.11.post1"
# ===============================
# Base image 950 with rocm720 and args
FROM $BASE_IMAGE_950_ROCM720 AS gfx950-rocm720
ENV BUILD_VLLM="0"
ENV BUILD_TRITON="1"
ENV BUILD_LLVM="0"
ENV BUILD_AITER_ALL="1"
ENV BUILD_MOONCAKE="1"
ENV AITER_COMMIT_DEFAULT="v0.1.11.post1"
# ===============================
# Chosen arch and args
FROM ${GPU_ARCH}
# This is necessary for scope purpose, again
ARG GPU_ARCH=gfx950
ENV GPU_ARCH_LIST=${GPU_ARCH%-*}
ENV PYTORCH_ROCM_ARCH=gfx942;gfx950
ARG SGL_REPO="https://github.com/sgl-project/sglang.git"
ARG SGL_DEFAULT="main"
ARG SGL_BRANCH=${SGL_DEFAULT}
# Version override for setuptools_scm (used in nightly builds)
ARG SETUPTOOLS_SCM_PRETEND_VERSION=""
ARG TRITON_REPO="https://github.com/triton-lang/triton.git"
ARG TRITON_COMMIT="42270451990532c67e69d753fbd026f28fcc4840"
ARG AITER_REPO="https://github.com/ROCm/aiter.git"
ARG AITER_COMMIT=""
ENV AITER_COMMIT="${AITER_COMMIT:-${AITER_COMMIT_DEFAULT}}"
ARG LLVM_REPO="https://github.com/jrbyrnes/llvm-project.git"
ARG LLVM_BRANCH="MainOpSelV2"
ARG LLVM_COMMIT="6520ace8227ffe2728148d5f3b9872a870b0a560"
ARG MOONCAKE_REPO="https://github.com/kvcache-ai/Mooncake.git"
ARG MOONCAKE_COMMIT="b6a841dc78c707ec655a563453277d969fb8f38d"
ARG TILELANG_REPO="https://github.com/tile-ai/tilelang.git"
ARG TILELANG_COMMIT="a55a82302bf7f3c5af635b5c9146f728185cc900"
ARG FHT_REPO="https://github.com/jeffdaily/fast-hadamard-transform.git"
ARG FHT_BRANCH="rocm"
ARG FHT_COMMIT="46efb7d776d38638fc39f3c803eaee3dd7016bd1"
ARG ENABLE_MORI=0
ARG NIC_BACKEND=none
ARG MORI_REPO="https://github.com/ROCm/mori.git"
ARG MORI_COMMIT="v0.1.0"
# AMD AINIC apt repo settings
ARG AINIC_VERSION=1.117.5
ARG UBUNTU_CODENAME=jammy
USER root
# Fix hipDeviceGetName returning empty string in ROCm 7.0 docker images.
# The ROCm 7.0 base image is missing libdrm-amdgpu-common which provides the
# amdgpu.ids device-ID-to-marketing-name mapping file.
# ROCm 7.2 base images already ship these packages, so this step is skipped.
# See https://github.com/ROCm/ROCm/issues/5992
RUN set -eux; \
case "${GPU_ARCH}" in \
*rocm720*) \
echo "ROCm 7.2 (GPU_ARCH=${GPU_ARCH}): libdrm-amdgpu packages already present, skipping"; \
;; \
*) \
echo "ROCm 7.0 (GPU_ARCH=${GPU_ARCH}): installing libdrm-amdgpu packages"; \
curl -fsSL https://repo.radeon.com/rocm/rocm.gpg.key \
| gpg --dearmor -o /etc/apt/keyrings/amdgpu-graphics.gpg \
&& echo 'deb [arch=amd64,i386 signed-by=/etc/apt/keyrings/amdgpu-graphics.gpg] https://repo.radeon.com/graphics/7.0/ubuntu jammy main' \
> /etc/apt/sources.list.d/amdgpu-graphics.list \
&& apt-get update \
&& apt-get install -y --no-install-recommends \
libdrm-amdgpu-common \
libdrm-amdgpu-amdgpu1 \
libdrm2-amdgpu \
&& rm -rf /var/lib/apt/lists/* \
&& cp /opt/amdgpu/share/libdrm/amdgpu.ids /usr/share/libdrm/amdgpu.ids; \
;; \
esac
# Install some basic utilities
RUN python -m pip install --upgrade pip && pip install setuptools_scm
RUN apt-get purge -y sccache; python -m pip uninstall -y sccache; rm -f "$(which sccache)"
# Install AMD SMI Python package from ROCm distribution.
# The ROCm 7.2 base image (rocm/pytorch) does not pre-install this package.
RUN set -eux; \
case "${GPU_ARCH}" in \
*rocm720*) \
echo "ROCm 7.2 flavor detected from GPU_ARCH=${GPU_ARCH}"; \
cd /opt/rocm/share/amd_smi \
&& python3 -m pip install --no-cache-dir . \
;; \
*) \
echo "Not rocm720 (GPU_ARCH=${GPU_ARCH}), skip amdsmi installation"; \
;; \
esac
WORKDIR /sgl-workspace
# -----------------------
# llvm
RUN if [ "$BUILD_LLVM" = "1" ]; then \
ENV HIP_CLANG_PATH="/sgl-workspace/llvm-project/build/bin/" \
git clone --single-branch ${LLVM_REPO} -b ${LLVM_BRANCH} \
&& cd llvm-project \
&& git checkout ${LLVM_COMMIT} \
&& mkdir build \
&& cd build \
&& cmake -DCMAKE_BUILD_TYPE=Release -DLLVM_ENABLE_ASSERTIONS=1 -DLLVM_TARGETS_TO_BUILD="AMDGPU;X86" -DLLVM_ENABLE_PROJECTS="clang;lld;" -DLLVM_ENABLE_RUNTIMES="compiler-rt" ../llvm \
&& make -j$(nproc); \
fi
# -----------------------
# AITER
# Unset setuptools_scm override so AITER gets its own version (AITER_COMMIT), not SGLang's
# (SETUPTOOLS_SCM_PRETEND_VERSION is set later for SGLang nightly builds and would otherwise
# leak into AITER's version when AITER uses setuptools_scm)
ENV SETUPTOOLS_SCM_PRETEND_VERSION=
RUN pip uninstall -y aiter \
&& pip install flydsl==0.0.1.dev95158637 \
&& pip install psutil pybind11 # Required by AITER setup.py
RUN git clone ${AITER_REPO} \
&& cd aiter \
&& git checkout ${AITER_COMMIT} \
&& git submodule update --init --recursive
# Hot patches for AITER in v0.1.10.post3
# This is for ROCm 7.2 only, because of the image rebase from vllm
# to rocm/pytorch.
RUN set -eux; \
case "${GPU_ARCH}" in \
*rocm720*) \
echo "ROCm 7.2 flavor detected from GPU_ARCH=${GPU_ARCH}"; \
cd aiter \
&& sed -i '459 s/if.*:/if False:/' aiter/ops/triton/attention/pa_mqa_logits.py; \
;; \
*) \
echo "Not rocm720 (GPU_ARCH=${GPU_ARCH}), skip patch"; \
;; \
esac
# [WA] from kk-huang
# add sed -i '/c1 = torch.empty((M, D, S1 + S3) for aiter triton gemm config issue
# the corresponding pr is https://github.com/ROCm/aiter/pull/2173
# it will be removed when server launched issue is fixed by aiter
RUN cd aiter \
&& echo "[AITER] GPU_ARCH=${GPU_ARCH}" \
&& sed -i '/c1 = torch.empty((M, D, S1 + S3), dtype=dtype, device=x.device)/i\ config = dict(config)' aiter/ops/triton/gemm/fused/fused_gemm_afp4wfp4_split_cat.py \
&& if [ "$BUILD_AITER_ALL" = "1" ] && [ "$BUILD_LLVM" = "1" ]; then \
sh -c "HIP_CLANG_PATH=/sgl-workspace/llvm-project/build/bin/ PREBUILD_KERNELS=1 GPU_ARCHS=$GPU_ARCH_LIST python setup.py build_ext --inplace" \
&& sh -c "HIP_CLANG_PATH=/sgl-workspace/llvm-project/build/bin/ GPU_ARCHS=$GPU_ARCH_LIST pip install -e ."; \
elif [ "$BUILD_AITER_ALL" = "1" ]; then \
sh -c "PREBUILD_KERNELS=1 GPU_ARCHS=$GPU_ARCH_LIST python setup.py build_ext --inplace" \
&& sh -c "GPU_ARCHS=$GPU_ARCH_LIST pip install -e ."; \
else \
sh -c "GPU_ARCHS=$GPU_ARCH_LIST pip install -e ."; \
fi \
&& echo "export PYTHONPATH=/sgl-workspace/aiter:\${PYTHONPATH}" >> /etc/bash.bashrc
# -----------------------
# Build Mooncake
ENV PATH=$PATH:/usr/local/go/bin
RUN if [ "$BUILD_MOONCAKE" = "1" ]; then \
apt update && apt install -y zip unzip wget && \
apt install -y gcc make libtool autoconf librdmacm-dev rdmacm-utils infiniband-diags ibverbs-utils perftest ethtool libibverbs-dev rdma-core && \
apt install -y openssh-server openmpi-bin openmpi-common libopenmpi-dev && \
git clone ${MOONCAKE_REPO} && \
cd Mooncake && \
git checkout ${MOONCAKE_COMMIT} && \
git submodule update --init --recursive && \
bash dependencies.sh -y && \
rm -rf /usr/local/go && \
wget https://go.dev/dl/go1.22.2.linux-amd64.tar.gz && \
tar -C /usr/local -xzf go1.22.2.linux-amd64.tar.gz && \
rm go1.22.2.linux-amd64.tar.gz && \
mkdir -p build && \
cd build && \
cmake .. -DUSE_HIP=ON -DUSE_ETCD=ON && \
make -j "$(nproc)" && make install; \
fi
# -----------------------
# Build SGLang
ARG BUILD_TYPE=all
# Set version for setuptools_scm if provided (for nightly builds). Only pass in the SGLang
# pip install RUN so it does not affect AITER, sgl-model-gateway, TileLang, FHT, MORI, etc.
ARG SETUPTOOLS_SCM_PRETEND_VERSION
RUN pip install IPython \
&& pip install orjson \
&& pip install python-multipart \
&& pip install torchao==0.9.0 \
&& pip install pybind11
RUN pip uninstall -y sgl_kernel sglang
RUN git clone ${SGL_REPO} \
&& cd sglang \
&& if [ "${SGL_BRANCH}" = ${SGL_DEFAULT} ]; then \
echo "Using ${SGL_DEFAULT}, default branch."; \
git checkout ${SGL_DEFAULT}; \
else \
echo "Using ${SGL_BRANCH} branch."; \
git checkout ${SGL_BRANCH}; \
fi \
&& cd sgl-kernel \
&& rm -f pyproject.toml \
&& mv pyproject_rocm.toml pyproject.toml \
&& AMDGPU_TARGET=$GPU_ARCH_LIST python setup_rocm.py install \
&& cd .. \
&& rm -rf python/pyproject.toml && mv python/pyproject_other.toml python/pyproject.toml \
&& if [ "$BUILD_TYPE" = "srt" ]; then \
export SETUPTOOLS_SCM_PRETEND_VERSION="${SETUPTOOLS_SCM_PRETEND_VERSION}" && python -m pip --no-cache-dir install -e "python[srt_hip,diffusion_hip]"; \
else \
export SETUPTOOLS_SCM_PRETEND_VERSION="${SETUPTOOLS_SCM_PRETEND_VERSION}" && python -m pip --no-cache-dir install -e "python[all_hip]"; \
fi
RUN python -m pip cache purge
# Copy config files to support MI300X in virtualized environments (MI300X_VF). Symlinks will not be created in image build.
RUN find /sgl-workspace/sglang/python/sglang/srt/layers/quantization/configs/ \
/sgl-workspace/sglang/python/sglang/srt/layers/moe/fused_moe_triton/configs/ \
-type f -name '*MI300X*' | xargs -I {} sh -c 'vf_config=$(echo "$1" | sed "s/MI300X/MI300X_VF/"); cp "$1" "$vf_config"' -- {}
# Install Rust toolchain for sgl-model-gateway
ENV PATH="/root/.cargo/bin:${PATH}"
RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y \
&& rustc --version && cargo --version
ENV CARGO_BUILD_JOBS=4
# Build and install sgl-model-gateway
RUN python3 -m pip install --no-cache-dir maturin \
&& cd /sgl-workspace/sglang/sgl-model-gateway/bindings/python \
&& ulimit -n 65536 && maturin build --release --features vendored-openssl --out dist \
&& python3 -m pip install --force-reinstall dist/*.whl \
&& rm -rf /root/.cache
# -----------------------
# TileLang
ENV DEBIAN_FRONTEND=noninteractive
ENV LIBGL_ALWAYS_INDIRECT=1
RUN echo "LC_ALL=en_US.UTF-8" >> /etc/environment
RUN /bin/bash -lc 'set -euo pipefail; \
echo "[TileLang] Building TileLang for ${GPU_ARCH}"; \
# System dependencies (NO llvm-dev to avoid llvm-config-16 shadowing)
apt-get update && apt-get install -y --no-install-recommends \
build-essential git wget curl ca-certificates gnupg \
libgtest-dev libgmock-dev \
libprotobuf-dev protobuf-compiler libgflags-dev libsqlite3-dev \
python3 python3-dev python3-setuptools python3-pip python3-apt \
gcc libtinfo-dev zlib1g-dev libedit-dev libxml2-dev vim \
cmake ninja-build pkg-config libstdc++6 software-properties-common \
&& rm -rf /var/lib/apt/lists/*; \
\
# Prefer the container venv
VENV_PY="/opt/venv/bin/python"; \
VENV_PIP="/opt/venv/bin/pip"; \
if [ ! -x "$VENV_PY" ]; then VENV_PY="python3"; fi; \
if [ ! -x "$VENV_PIP" ]; then VENV_PIP="pip3"; fi; \
\
# Build GoogleTest static libs (Ubuntu package ships sources only)
cmake -S /usr/src/googletest -B /tmp/build-gtest -DBUILD_GTEST=ON -DBUILD_GMOCK=ON -DCMAKE_BUILD_TYPE=Release && \
cmake --build /tmp/build-gtest -j"$(nproc)" && \
cp -v /tmp/build-gtest/lib/*.a /usr/lib/x86_64-linux-gnu/ && \
rm -rf /tmp/build-gtest; \
\
# Keep setuptools < 80 (compat with base image)
"$VENV_PIP" install --upgrade "setuptools>=77.0.3,<80" wheel cmake ninja scikit-build-core && \
"$VENV_PIP" cache purge || true; \
\
# Locate ROCm llvm-config; fallback to installing LLVM 18 if missing
LLVM_CONFIG_PATH=""; \
for p in /opt/rocm/llvm/bin/llvm-config /opt/rocm/llvm-*/bin/llvm-config /opt/rocm-*/llvm*/bin/llvm-config; do \
if [ -x "$p" ]; then LLVM_CONFIG_PATH="$p"; break; fi; \
done; \
if [ -z "$LLVM_CONFIG_PATH" ]; then \
echo "[TileLang] ROCm llvm-config not found; installing LLVM 18..."; \
curl -fsSL https://apt.llvm.org/llvm-snapshot.gpg.key | gpg --dearmor -o /etc/apt/keyrings/llvm.gpg; \
echo "deb [signed-by=/etc/apt/keyrings/llvm.gpg] http://apt.llvm.org/jammy/ llvm-toolchain-jammy-18 main" > /etc/apt/sources.list.d/llvm.list; \
apt-get update; \
apt-get install -y --no-install-recommends llvm-18; \
rm -rf /var/lib/apt/lists/*; \
LLVM_CONFIG_PATH="$(command -v llvm-config-18)"; \
if [ -z "$LLVM_CONFIG_PATH" ]; then echo "ERROR: llvm-config-18 not found after install"; exit 1; fi; \
fi; \
echo "[TileLang] Using LLVM_CONFIG at: $LLVM_CONFIG_PATH"; \
export PATH="$(dirname "$LLVM_CONFIG_PATH"):/usr/local/bin:${PATH}"; \
export LLVM_CONFIG="$LLVM_CONFIG_PATH"; \
\
# Optional shim for tools that expect llvm-config-16
mkdir -p /usr/local/bin && \
printf "#!/usr/bin/env bash\nexec \"%s\" \"\$@\"\n" "$LLVM_CONFIG_PATH" > /usr/local/bin/llvm-config-16 && \
chmod +x /usr/local/bin/llvm-config-16; \
\
# TVM Python bits need Cython + z3 before configure.
# Pin z3-solver==4.15.4.0: 4.15.4.0 has a manylinux wheel; 4.15.5.0 has no wheel and builds from source (fails: C++20 <format> needs GCC 14+, image has GCC 11).
"$VENV_PIP" install --no-cache-dir "cython>=0.29.36,<3.0" "apache-tvm-ffi @ git+https://github.com/apache/tvm-ffi.git@37d0485b2058885bf4e7a486f7d7b2174a8ac1ce" "z3-solver==4.15.4.0"; \
\
# Clone + pin TileLang (bundled TVM), then build
git clone --recursive "${TILELANG_REPO}" /opt/tilelang && \
cd /opt/tilelang && \
git fetch --depth=1 origin "${TILELANG_COMMIT}" || true && \
git checkout -f "${TILELANG_COMMIT}" && \
git submodule update --init --recursive && \
export CMAKE_ARGS="-DUSE_CUDA=OFF -DUSE_ROCM=ON -DROCM_PATH=/opt/rocm -DLLVM_CONFIG=${LLVM_CONFIG} -DSKBUILD_SABI_VERSION= ${CMAKE_ARGS:-}" && \
"$VENV_PIP" install -e . -v --no-build-isolation --no-deps; \
if [ -f pyproject.toml ]; then sed -i "/^[[:space:]]*\"torch/d" pyproject.toml || true; fi; \
"$VENV_PIP" cache purge || true; \
"$VENV_PY" -c "import tilelang; print(tilelang.__version__)"'
# -----------------------
# Hadamard-transform (HIP build)
RUN /bin/bash -lc 'set -euo pipefail; \
git clone --branch "${FHT_BRANCH}" "${FHT_REPO}" fast-hadamard-transform; \
cd fast-hadamard-transform; \
git checkout -f "${FHT_COMMIT}"; \
python setup.py install'
# -----------------------
# Python tools
RUN python3 -m pip install --no-cache-dir \
py-spy \
pre-commit \
tabulate
# -----------------------
# MORI (optional)
RUN /bin/bash -lc 'set -euo pipefail; \
if [ "${ENABLE_MORI}" != "1" ]; then \
echo "[MORI] Skipping (ENABLE_MORI=${ENABLE_MORI})"; \
exit 0; \
fi; \
echo "[MORI] Enabling MORI (NIC_BACKEND=${NIC_BACKEND})"; \
\
# Base deps for MORI build
apt-get update && apt-get install -y --no-install-recommends \
build-essential \
g++ \
jq \
libopenmpi-dev \
libpci-dev \
initramfs-tools \
&& rm -rf /var/lib/apt/lists/*; \
\
# NIC backend deps
case "${NIC_BACKEND}" in \
# default: mlx5
none) \
export USE_IONIC="OFF"; \
export USE_BNXT="OFF"; \
;; \
# AMD NIC
ainic) \
export USE_IONIC="ON"; \
export USE_BNXT="OFF"; \
apt-get update && apt-get install -y --no-install-recommends ca-certificates curl gnupg apt-transport-https && \
rm -rf /var/lib/apt/lists/* && mkdir -p /etc/apt/keyrings; \
curl -fsSL https://repo.radeon.com/rocm/rocm.gpg.key | gpg --dearmor > /etc/apt/keyrings/amdainic.gpg; \
echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/amdainic.gpg] https://repo.radeon.com/amdainic/pensando/ubuntu/${AINIC_VERSION} ${UBUNTU_CODENAME} main" \
> /etc/apt/sources.list.d/amdainic.list; \
apt-get update && apt-get install -y --no-install-recommends \
libionic-dev \
ionic-common \
; \
rm -rf /var/lib/apt/lists/*; \
;; \
# TODO: Add Broadcom bnxt packages/repos here later.
# bnxt) \
# export USE_IONIC="OFF"; \
# export USE_BNXT="ON"; \
# echo "[MORI] NIC_BACKEND=bnxt: USE_BNXT=ON. Add Broadcom bnxt packages/repos here later."; \
# ;; \
*) \
echo "ERROR: unknown NIC_BACKEND=${NIC_BACKEND}. Use one of: none, ainic"; \
exit 2; \
;; \
esac; \
\
# Build/install MORI
export MORI_GPU_ARCHS="${GPU_ARCH_LIST}"; \
echo "[MORI] MORI_GPU_ARCHS=${MORI_GPU_ARCHS} USE_IONIC=${USE_IONIC} USE_BNXT=${USE_BNXT}"; \
rm -rf /sgl-workspace/mori; \
git clone "${MORI_REPO}" /sgl-workspace/mori; \
cd /sgl-workspace/mori; \
git checkout "${MORI_COMMIT}"; \
git submodule update --init --recursive; \
python3 setup.py develop; \
python3 -c "import os, torch; print(os.path.join(os.path.dirname(torch.__file__), \"lib\"))" > /etc/ld.so.conf.d/torch.conf; \
ldconfig; \
echo "export PYTHONPATH=/sgl-workspace/mori:\${PYTHONPATH}" >> /etc/bash.bashrc; \
echo "[MORI] Done."'
# -----------------------
# Hot patch: torch-ROCm
# The artifact hardcoded the supported triton version to be 3.5.1.
# Rewrite the restriction directly.
ARG TORCH_ROCM_FILE="torch-2.9.1+rocm7.2.0.lw.git7e1940d4-cp310-cp310-linux_x86_64.whl"
RUN mkdir /tmp/whl && cd /tmp/whl \
&& export TORCH_ROCM_FILE="${TORCH_ROCM_FILE}" \
&& cat > hack.py <<"PY"
import zipfile, csv, os, re
from pathlib import Path
fname = os.environ["TORCH_ROCM_FILE"]
in_whl = Path("/") / fname
out_whl = Path("/tmp")/ fname
work = Path("/tmp/whl")
# 1) Extract
with zipfile.ZipFile(in_whl, "r") as z:
z.extractall(work)
# 2) Locate dist-info and patch METADATA (edit this logic to match your exact line)
dist_info = next(work.glob("*.dist-info"))
meta = dist_info / "METADATA"
txt = meta.read_text(encoding="utf-8")
# Example: replace one exact requirement form.
# Adjust the string to match what you actually see.
pat = r"^Requires-Dist:\s*triton==3.5.1[^\s]*;"
txt2, n = re.subn(pat, r"triton>=3.5.1;", txt, flags=re.MULTILINE)
if txt2 == txt:
raise SystemExit("Did not find expected Requires-Dist line to replace in METADATA")
meta.write_text(txt2, encoding="utf-8")
# 3) Hacky step: blank hash/size columns in RECORD
record = dist_info / "RECORD"
rows = []
with record.open(newline="", encoding="utf-8") as f:
for r in csv.reader(f):
if not r:
continue
# keep filename, blank out hash and size
rows.append([r[0], "", ""])
with record.open("w", newline="", encoding="utf-8") as f:
csv.writer(f).writerows(rows)
# 4) Re-zip as a wheel
with zipfile.ZipFile(out_whl, "w", compression=zipfile.ZIP_DEFLATED) as z:
for p in work.rglob("*"):
if p.is_file():
z.write(p, p.relative_to(work).as_posix())
print("Wrote", out_whl)
PY
RUN cd /tmp/whl \
&& case "${GPU_ARCH}" in \
*rocm720*) \
echo "ROCm 7.2 flavor detected from GPU_ARCH=${GPU_ARCH}"; \
python hack.py \
&& python3 -m pip install --force --no-deps /tmp/${TORCH_ROCM_FILE} \
&& rm -fr /tmp/whl /tmp/${TORCH_ROCM_FILE} \
;; \
*) \
echo "Not rocm720 (GPU_ARCH=${GPU_ARCH}), skip patch"; \
;; \
esac
# -----------------------
# Hot patch: Triton
# For ROCm 7.2, this custom build breaks pip dependency management,
# so future `pip install` will break the ROCm stack.
# A workaround for this is to reinstall the default triton
# wheel with the `rocm/pytorch` image in the root directory.
RUN if [ "$BUILD_TRITON" = "1" ]; then \
pip uninstall -y triton \
&& apt install -y cmake \
&& git clone ${TRITON_REPO} triton-custom \
&& cd triton-custom \
&& git checkout ${TRITON_COMMIT} \
&& pip install -r python/requirements.txt \
&& pip install -e .; \
fi
# -----------------------
# Performance environment variable.
# Skip CuDNN compatibility check - not applicable for ROCm (uses MIOpen instead)
ENV SGLANG_DISABLE_CUDNN_CHECK=1
ENV HIP_FORCE_DEV_KERNARG=1
ENV HSA_NO_SCRATCH_RECLAIM=1
ENV SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN=1
ENV SGLANG_INT4_WEIGHT=0
ENV SGLANG_MOE_PADDING=1
ENV SGLANG_ROCM_DISABLE_LINEARQUANT=0
ENV SGLANG_ROCM_FUSED_DECODE_MLA=1
ENV SGLANG_SET_CPU_AFFINITY=1
ENV SGLANG_USE_AITER=1
ENV SGLANG_USE_ROCM700A=1
ENV NCCL_MIN_NCHANNELS=112
ENV ROCM_QUICK_REDUCE_QUANTIZATION=INT8
ENV TORCHINDUCTOR_MAX_AUTOTUNE=1
ENV TORCHINDUCTOR_MAX_AUTOTUNE_POINTWISE=1
CMD ["/bin/bash"]

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FROM lmsysorg/sglang:latest
COPY serve /usr/bin/serve
RUN chmod 777 /usr/bin/serve
ENTRYPOINT [ "/usr/bin/serve" ]

34
third_party/sglang/docker/serve vendored Executable file
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#!/bin/bash
echo "Starting server"
PREFIX="SM_SGLANG_"
ARG_PREFIX="--"
ARGS=()
while IFS='=' read -r key value; do
arg_name=$(echo "${key#"${PREFIX}"}" | tr '[:upper:]' '[:lower:]' | tr '_' '-')
ARGS+=("${ARG_PREFIX}${arg_name}")
if [ -n "$value" ]; then
ARGS+=("$value")
fi
done < <(env | grep "^${PREFIX}")
# Add default port only if not already set
if ! [[ " ${ARGS[@]} " =~ " --port " ]]; then
ARGS+=(--port "${SM_SGLANG_PORT:-8080}")
fi
# Add default host only if not already set
if ! [[ " ${ARGS[@]} " =~ " --host " ]]; then
ARGS+=(--host "${SM_SGLANG_HOST:-0.0.0.0}")
fi
# Add default model-path only if not already set
if ! [[ " ${ARGS[@]} " =~ " --model-path " ]]; then
ARGS+=(--model-path "${SM_SGLANG_MODEL_PATH:-/opt/ml/model}")
fi
echo "Running command: exec python3 -m sglang.launch_server ${ARGS[@]}"
exec python3 -m sglang.launch_server "${ARGS[@]}"

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FROM ubuntu:24.04
SHELL ["/bin/bash", "-c"]
ARG SGLANG_REPO=https://github.com/sgl-project/sglang.git
ARG VER_SGLANG=main
RUN apt-get update && \
apt-get full-upgrade -y && \
DEBIAN_FRONTEND=noninteractive apt-get install --no-install-recommends -y \
ca-certificates \
git \
curl \
wget \
vim \
gcc \
g++ \
make \
libsqlite3-dev \
google-perftools \
libtbb-dev \
libnuma-dev \
numactl
WORKDIR /opt
RUN curl -LsSf https://astral.sh/uv/install.sh | sh && \
source $HOME/.local/bin/env && \
uv venv --python 3.12
RUN echo -e '[[index]]\nname = "torch"\nurl = "https://download.pytorch.org/whl/cpu"\n\n[[index]]\nname = "torchvision"\nurl = "https://download.pytorch.org/whl/cpu"\n\n[[index]]\nname = "torchaudio"\nurl = "https://download.pytorch.org/whl/cpu"\n\n[[index]]\nname = "triton"\nurl = "https://download.pytorch.org/whl/cpu"' > .venv/uv.toml
ENV UV_CONFIG_FILE=/opt/.venv/uv.toml
WORKDIR /sgl-workspace
RUN source $HOME/.local/bin/env && \
source /opt/.venv/bin/activate && \
git clone ${SGLANG_REPO} sglang && \
cd sglang && \
git checkout ${VER_SGLANG} && \
cd python && \
cp pyproject_cpu.toml pyproject.toml && \
uv pip install . && \
cd ../sgl-kernel && \
cp pyproject_cpu.toml pyproject.toml && \
uv pip install .
ENV SGLANG_USE_CPU_ENGINE=1
ENV LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libtcmalloc.so.4:/usr/lib/x86_64-linux-gnu/libtbbmalloc.so:/opt/.venv/lib/libiomp5.so
RUN echo 'source /opt/.venv/bin/activate' >> /root/.bashrc
WORKDIR /sgl-workspace/sglang

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# If the device is Battlemage, we need to set UBUNTU_VERSION to 24.10
# Usage: docker build --build-arg UBUNTU_VERSION=24.04 --build-arg PYTHON_VERSION=3.10 -t sglang:xpu_kernel -f xpu.Dockerfile --no-cache .
# Use Intel deep learning essentials base image with Ubuntu 24.04
FROM intel/deep-learning-essentials:2025.3.2-0-devel-ubuntu24.04
# Avoid interactive prompts during package install
ENV DEBIAN_FRONTEND=noninteractive
# Define build arguments
ARG PYTHON_VERSION=3.10
ARG SG_LANG_REPO=https://github.com/sgl-project/sglang.git
ARG SG_LANG_BRANCH=main
ARG SG_LANG_KERNEL_REPO=https://github.com/sgl-project/sgl-kernel-xpu.git
ARG SG_LANG_KERNEL_BRANCH=main
RUN useradd -m -d /home/sdp -s /bin/bash sdp && \
chown -R sdp:sdp /home/sdp
# Switch to non-root user 'sdp'
USER sdp
# Set HOME and WORKDIR to user's home directory
ENV HOME=/home/sdp
WORKDIR /home/sdp
RUN curl -fsSL -v -o miniforge.sh -O https://github.com/conda-forge/miniforge/releases/download/25.1.1-0/Miniforge3-Linux-x86_64.sh && \
bash miniforge.sh -b -p ./miniforge3 && \
rm miniforge.sh && \
# Initialize conda environment and install pip
. ./miniforge3/bin/activate && \
conda create -y -n py${PYTHON_VERSION} python=${PYTHON_VERSION} && \
conda activate py${PYTHON_VERSION} && \
conda install pip && \
# Append environment activation to .bashrc for interactive shells
echo ". /home/sdp/miniforge3/bin/activate; conda activate py${PYTHON_VERSION}; . /opt/intel/oneapi/setvars.sh; cd /home/sdp" >> /home/sdp/.bashrc
USER root
RUN apt-get update && apt install -y intel-ocloc
# Switch back to user sdp
USER sdp
RUN --mount=type=secret,id=github_token \
cd /home/sdp && \
. /home/sdp/miniforge3/bin/activate && \
conda activate py${PYTHON_VERSION} && \
pip3 install torch==2.10.0+xpu torchao torchvision torchaudio==2.10.0+xpu triton-xpu==3.6.0 --index-url https://download.pytorch.org/whl/xpu
RUN --mount=type=secret,id=github_token \
cd /home/sdp && \
. /home/sdp/miniforge3/bin/activate && \
conda activate py${PYTHON_VERSION} && \
echo "Cloning ${SG_LANG_BRANCH} from ${SG_LANG_REPO}" && \
git clone --branch ${SG_LANG_BRANCH} --single-branch ${SG_LANG_REPO} && \
cd sglang && cd python && \
cp pyproject_xpu.toml pyproject.toml && \
pip install . && \
pip install xgrammar --no-deps && \
pip install msgspec blake3 py-cpuinfo compressed_tensors gguf partial_json_parser einops tabulate --root-user-action=ignore && \
conda install libsqlite=3.48.0 -y && \
# Add environment setup commands to .bashrc again (in case it was overwritten)
echo ". /home/sdp/miniforge3/bin/activate; conda activate py${PYTHON_VERSION}; cd /home/sdp" >> /home/sdp/.bashrc
# Use bash as default shell with initialization from .bashrc
SHELL ["bash", "-c"]
# Start an interactive bash shell with all environment set up
USER sdp
CMD ["bash", "-c", "source /home/sdp/.bashrc && exec bash"]