sync B200 deployment files: Dockerfile, docker-compose, patches
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Dockerfile
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54
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# DeepSeek V4 NVFP4 vLLM + CUTLASS NVFP4 Mega MoE Kernel
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FROM vllm/vllm-openai:nightly-x86_64
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# Remove broken nixl_ep (built against CUDA 12, image is CUDA 13)
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RUN pip uninstall -y nixl-ep; rm -rf /usr/local/lib/python3.12/dist-packages/nixl_ep
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RUN apt-get update && apt-get install -y git screen cmake libcusolver-dev-13-0 libcusparse-dev-13-0 libcublas-dev-13-0 libcurand-dev-13-0 libcufft-dev-13-0 libnvjitlink-dev-13-0 && rm -rf /var/lib/apt/lists/*
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# Remove the broken symlink if it exists
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RUN rm -f /usr/local/cuda/lib64/libcudart.so.12
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ENV CUDA_HOME=/usr/local/cuda
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ENV TORCH_CUDA_ARCH_LIST="10.0"
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# Clone latest CUTLASS (has NVFP4 block-scaled MMA support)
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ARG CUTLASS_CACHE_BUSTER=1
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RUN git clone --depth 1 https://github.com/NVIDIA/cutlass.git /root/cutlass
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# Clone our NVFP4 mega_moe kernel
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ARG KERNEL_CACHE_BUSTER=24
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RUN git clone https://sweetapi.com/biondizzle/nvfp4-megamoe-kernel.git /root/nvfp4-megamoe-kernel && \
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cd /root/nvfp4-megamoe-kernel && \
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pip install -e .
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# Build the CUTLASS NVFP4 block-scaled GEMM extension
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RUN cd /root/nvfp4-megamoe-kernel/src/nvfp4_megamoe_kernel/cutlass_nvfp4_gemm && \
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mkdir -p cutlass_nvfp4_gemm && \
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CUTLASS_INCLUDE_DIR=/root/cutlass/include \
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TORCH_CUDA_ARCH_LIST=10.0 \
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python3 setup.py build_ext --inplace
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# Install TileLang (for potential future use)
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RUN pip install tilelang
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ENV PYTHONPATH="/root/nvfp4-megamoe-kernel/src/nvfp4_megamoe_kernel/cutlass_nvfp4_gemm:/root/nvfp4-megamoe-kernel:${PYTHONPATH}"
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# Copy patches
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ARG PATCH_CACHE_BUSTER=82
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COPY patches/deepseek_v4.py /tmp/patches/deepseek_v4.py
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COPY patches/staging_kernel.py /tmp/patches/staging_kernel.py
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COPY patches/deepseek_v4_attention.py /tmp/patches/deepseek_v4_attention.py
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# Apply patches
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RUN VLLM_MODELS_DIR=$(python3 -c "import vllm.model_executor.models; import os; print(os.path.dirname(vllm.model_executor.models.__file__))") && \
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VLLM_LAYERS_DIR=$(python3 -c "import vllm.model_executor.layers; import os; print(os.path.dirname(vllm.model_executor.layers.__file__))") && \
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cp /tmp/patches/deepseek_v4.py "$VLLM_MODELS_DIR/deepseek_v4.py" && \
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cp /tmp/patches/staging_kernel.py "$VLLM_MODELS_DIR/staging_kernel.py" && \
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cp /tmp/patches/deepseek_v4_attention.py "$VLLM_LAYERS_DIR/deepseek_v4_attention.py" && \
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rm -rf /tmp/patches
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# Verify
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RUN python3 -c "import torch; import cutlass_nvfp4_gemm._C; print('CUTLASS NVFP4 OK')" && \
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python3 -c "import vllm; print('vLLM OK')" && \
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python3 -c "import nvfp4_megamoe_kernel; print('NVFP4 kernel OK')"
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