0.9.0.1
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56
lmcache/Dockerfile
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56
lmcache/Dockerfile
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@@ -0,0 +1,56 @@
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ARG CUDA_VERSION=12.8.1
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ARG IMAGE_DISTRO=ubuntu24.04
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ARG PYTHON_VERSION=3.12
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# ---------- Builder Base ----------
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FROM nvcr.io/nvidia/cuda:${CUDA_VERSION}-devel-${IMAGE_DISTRO} AS base
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ARG TORCH_CUDA_ARCH_LIST="9.0a"
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ENV TORCH_CUDA_ARCH_LIST=${TORCH_CUDA_ARCH_LIST}
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ENV DEBIAN_FRONTEND=noninteractive
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# Install dependencies
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RUN apt update && apt upgrade -y && \
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apt install -y --no-install-recommends \
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curl \
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git \
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libibverbs-dev \
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zlib1g-dev && \
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apt clean && \
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rm -rf /var/lib/apt/lists/* /var/cache/apt/archives
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# Set compiler paths
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ENV CC=/usr/bin/gcc
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ENV CXX=/usr/bin/g++
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# Install uv
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RUN curl -LsSf https://astral.sh/uv/install.sh | env UV_INSTALL_DIR=/usr/local/bin sh
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# Set up workspace and virtualenv
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WORKDIR /workspace
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ARG PYTHON_VERSION
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RUN uv venv -p ${PYTHON_VERSION} --seed --python-preference only-managed
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# Activate uv venv
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ENV VIRTUAL_ENV=/workspace/.venv
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ENV PATH=${VIRTUAL_ENV}/bin:${PATH}
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ENV CUDA_HOME=/usr/local/cuda
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ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
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# Install Python deps in venv
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RUN uv pip install numpy==2.0.0
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RUN uv pip install torch==2.7.0 torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu128
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FROM base AS build-base
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# Install build tools and dependencies
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RUN uv pip install -U build cmake ninja pybind11 setuptools==79.0.1 wheel
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# Clone and build LMCache wheel
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RUN git clone https://github.com/rajesh-s/LMCache.git -b v0.3.0 && \
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cd LMCache && \
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uv pip install setuptools_scm && \
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python -m build --wheel --no-isolation && \
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cp dist/*.whl /workspace/
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CMD ["/bin/bash"]
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BIN
lmcache/lmcache-0.3.1.dev1-cp312-cp312-linux_aarch64.whl
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BIN
lmcache/lmcache-0.3.1.dev1-cp312-cp312-linux_aarch64.whl
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@@ -48,7 +48,7 @@ ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
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RUN uv pip install numpy==2.0.0
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# Install pytorch nightly
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RUN uv pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu128
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RUN uv pip install torch==2.7.0+cu128 torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu128
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FROM base AS build-base
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RUN mkdir /wheels
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@@ -68,6 +68,7 @@ RUN cd triton && \
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git submodule update --init --recursive -j 8 && \
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uv build python --wheel --no-build-isolation -o /wheels
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RUN export MAX_JOBS=10
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FROM build-base AS build-xformers
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ARG XFORMERS_REF=v0.0.30
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ARG XFORMERS_BUILD_VERSION=0.0.30+cu128
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@@ -125,54 +126,19 @@ RUN uv clean
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# python3-config https://github.com/astral-sh/uv/issues/10263
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RUN export PATH="$(dirname $(realpath .venv/bin/python)):$PATH"
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# Install build tools and dependencies
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RUN uv pip install -U build cmake ninja pybind11 setuptools==79.0.1 wheel
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# LMCache should be auto-integrated in v1
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# InfiniStore dependencies -> not needed with patched LMCache below
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# RUN apt-get update && apt-get install -y --no-install-recommends \
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# libuv1-dev \
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# libflatbuffers-dev \
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# libspdlog-dev \
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# libfmt-dev \
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# ibverbs-utils \
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# libibverbs-dev \
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# libboost-dev \
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# libboost-stacktrace-dev \
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# git \
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# curl \
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# build-essential
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# RUN git clone https://github.com/bytedance/InfiniStore.git && \
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# cd InfiniStore && git checkout 0.2.33 && \
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# pip install -e .
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# RUN apt update
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# RUN apt install -y cmake libuv1-dev libspdlog-dev libboost-dev libboost-all-dev # pybind11-dev python3-dev
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# RUN uv pip install pybind11
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# RUN git clone -b v1.12.0 https://github.com/google/flatbuffers.git && \
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# cd flatbuffers && \
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# cmake -B build -DFLATBUFFERS_BUILD_TESTS=OFF && \
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# cmake --build build -j && \
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# cmake --install build && cd ..
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# RUN git clone https://github.com/bytedance/InfiniStore
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# RUN sed -i 's|^INCLUDES = -I/usr/local/.*|INCLUDES = -I/root/.local/share/uv/python/cpython-3.12.10-linux-aarch64-gnu/include/python3.12|' InfiniStore/src/Makefile
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# RUN cd InfiniStore/src && make
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# RUN cd InfiniStore && pip install --no-deps --no-build-isolation -e .
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# # # LMCache dependencies
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# RUN uv pip install -U aiofiles pyyaml redis nvtx safetensors transformers psutil aiohttp sortedcontainers prometheus_client msgspec
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# # RUN git clone https://github.com/LMCache/torchac_cuda.git && \
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# # cd torchac_cuda && \
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# # python setup.py install
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# RUN git clone https://github.com/rajesh-s/LMCache.git && \
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# cd LMCache && \
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# sed -i 's/2\.5\.1/2.6.0/g' pyproject.toml setup.py && \
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# sed 's#numpy==1\.26\.4#numpy#g' pyproject.toml setup.py requirements.txt && \
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# python setup.py install
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# Clone and build LMCache wheel without Infinistore that is broken on aarch64
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RUN git clone https://github.com/rajesh-s/LMCache.git -b v0.3.0 && \
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cd LMCache && \
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uv pip install setuptools_scm && \
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python -m build --wheel --no-isolation && \
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cp dist/*.whl /workspace/
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# Enable hf-transfer
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ENV HF_HUB_ENABLE_HF_TRANSFER=1
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RUN uv pip install numpy datasets aiohttp
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# ==2.0.0
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RUN uv pip install datasets aiohttp
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# Install nsys for profiling
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ARG NSYS_URL=https://developer.nvidia.com/downloads/assets/tools/secure/nsight-systems/2025_3/
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@@ -4,6 +4,6 @@ Hosted [here](https://hub.docker.com/repository/docker/rajesh550/gh200-vllm)
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```bash
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docker login
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docker build --platform linux/arm64 -t rajesh550/gh200-vllm:0.8.1 .
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docker push rajesh550/gh200-vllm:0.8.1
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docker buildx build --platform linux/arm64 --memory=600g -t rajesh550/gh200-vllm:0.9.0.1 .
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docker push rajesh550/gh200-vllm:0.9.0.1
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```
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