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+# DeepGEMM NVFP4 Mega MoE Build Container
+# Based on the vLLM container that already has CUDA 13.0 + PyTorch + CUTLASS + FlashInfer
+# for Blackwell SM100 support.
+#
+# Build: docker build -t deepgemm-nvfp4 .
+# Run:   docker run --gpus all -it deepgemm-nvfp4 bash
+
+FROM atl.vultrcr.io/vllm/vllm-with-lmcache:dream-build
+
+# Install build essentials
+RUN apt-get update && apt-get install -y \
+    git \
+    screen \
+    cmake \
+    && rm -rf /var/lib/apt/lists/*
+
+# Clone DeepGEMM nvfp4-mega-moe branch
+# CACHE_BUSTER: increment to force fresh clone (bypasses Docker cache)
+RUN git clone -b nvfp4-mega-moe https://sweetapi.com/biondizzle/DeepGEMM.git /root/DeepGEMM && CACHE_BUSTER=1
+
+# Set include paths for CUTLASS/CuTe headers (already in the container via flashinfer/vllm)
+ENV CPATH="/usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/include:/usr/local/lib/python3.12/dist-packages/nvidia/cu13/include:${CPATH}"
+ENV CUDA_HOME="/usr/local/cuda"
+
+# Build DeepGEMM
+RUN cd /root/DeepGEMM && python3 setup.py build_ext --inplace
+
+# Verify build
+RUN python3 -c "import sys; sys.path.insert(0, '/root/DeepGEMM'); import deep_gemm; print('DeepGEMM NVFP4 build OK')"
+
+WORKDIR /root/DeepGEMM