curl -LsSf https://astral.sh/uv/install.sh | export UV_INSTALL_DIR=/usr/local/bin sh mkdir vllm-build && cd vllm-build uv vexport -p ${PYTHON_VERSION} --seed --python-preference only-managed source .vexport/bin/activate export CUDA_VERSION=12.6.3 export IMAGE_DISTRO=ubuntu24.04 export PYTHON_VERSION=3.12 export TORCH_CUDA_ARCH_LIST="9.0a" export TORCH_CUDA_ARCH_LIST=${TORCH_CUDA_ARCH_LIST} export VLLM_FA_CMAKE_GPU_ARCHES="90a-real" export VLLM_FA_CMAKE_GPU_ARCHES=${VLLM_FA_CMAKE_GPU_ARCHES} uv pip install numpy==2.0.0 uv pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu126 uv pip install build cmake ninja pybind11 setuptools wheel mkdir wheels # triton-lang export TRITON_REF=release/3.2.x export TRITON_BUILD_SUFFIX=+cu126 export TRITON_WHEEL_VERSION_SUFFIX=${TRITON_BUILD_SUFFIX:-} git clone https://github.com/triton-lang/triton.git cd triton && \ git checkout ${TRITON_REF} && \ git submodule sync && \ git submodule update --init --recursive -j 8 && \ uv build python --wheel --no-build-isolation -o ../wheels cd .. # xformers export MAX_JOBS=10 export XFORMERS_REF=v0.0.29.post2 export XFORMERS_BUILD_VERSION=0.0.29.post2+cu126 export BUILD_VERSION=${XFORMERS_BUILD_VERSION:-${XFORMERS_REF#v}} git clone https://github.com/facebookresearch/xformers.git cd xformers && \ git checkout ${XFORMERS_REF} && \ git submodule sync && \ git submodule update --init --recursive -j 8 && \ uv build --wheel --no-build-isolation -o ../wheels cd .. # flashinfer export FLASHINFER_ENABLE_AOT=1 export FLASHINFER_REF=v0.2.2.post1 export FLASHINFER_BUILD_SUFFIX=cu126 export FLASHINFER_LOCAL_VERSION=${FLASHINFER_BUILD_SUFFIX:-} uv pip install setuptools==75.6.0 packaging==23.2 ninja==1.11.1.3 build==1.2.2.post1 git clone https://github.com/flashinfer-ai/flashinfer.git cd flashinfer && \ git checkout ${FLASHINFER_REF} && \ git submodule sync && \ git submodule update --init --recursive -j 8 && \ uv build --wheel --no-build-isolation -o ../wheels && cd .. uv pip install wheels/* uv pip install pynvml pandas accelerate hf_transfer modelscope bitsandbytes timm boto3 runai-model-streamer runai-model-streamer[s3] tensorizer git clone https://github.com/Dao-AILab/flash-attention.git && cd flash-attention FLASH_ATTENTION_TRITON_AMD_ENABLE="TRUE" MAX_JOBS=10 python setup.py install cd hopper && FLASH_ATTENTION_TRITON_AMD_ENABLE="TRUE" MAX_JOBS=5 python setup.py install # vllm export VLLM_REF=v0.8.1 export MAX_JOBS=4 export CUDACXX=/home1/apps/nvidia/Linux_aarch64/24.9/cuda/12.6/bin/nvcc git clone https://github.com/vllm-project/vllm.git cd vllm && \ git checkout ${VLLM_REF} && \ git submodule sync && \ git submodule update --init --recursive -j 8 && \ uv pip install -r requirements/build.txt && \ uv build --wheel --no-build-isolation -o ../wheels && cd ..