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+# ✅ Base image with CUDA 12.4
+FROM nvidia/cuda:12.4.0-runtime-ubuntu22.04
+
+# Set environment vars
+ENV DEBIAN_FRONTEND=noninteractive \
+    LANG=C.UTF-8 \
+    LC_ALL=C.UTF-8 \
+    PATH="/opt/conda/bin:$PATH" \
+    PYTHONUNBUFFERED=1
+
+# 🔧 Install system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    git wget curl build-essential ca-certificates \
+    libglib2.0-0 libsm6 libxext6 libxrender-dev ffmpeg \
+    && rm -rf /var/lib/apt/lists/*
+
+# 🐍 Install Miniconda
+RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh && \
+    bash miniconda.sh -b -p /opt/conda && rm miniconda.sh
+
+# 🧪 Create Conda env and install CUDA toolkit & sparsehash
+RUN conda create -n spatiallm python=3.11 -y && \
+    conda run -n spatiallm conda install -c nvidia/label/cuda-12.4.0 cuda-toolkit -y && \
+    conda run -n spatiallm conda install -c conda-forge sparsehash -y && \
+    conda clean -afy
+
+# 📦 Install Poetry
+RUN conda run -n spatiallm pip install poetry && \
+    conda run -n spatiallm poetry config virtualenvs.create false --local
+
+# 📁 Clone SpatialLM
+WORKDIR /workspace
+RUN git clone https://github.com/manycore-research/SpatialLM.git
+WORKDIR /workspace/SpatialLM
+
+# 📜 Install dependencies via Poetry
+RUN conda run -n spatiallm poetry install
+
+# 🛠️ Build torchsparse (slow, but necessary)
+RUN conda run -n spatiallm poetry run poe install-torchsparse
+
+# 📂 Create folders for model/testset/output if needed
+RUN mkdir -p /workspace/models /workspace/output /workspace/data
+
+# 🧼 Set entrypoint
+CMD ["/bin/bash"]