[Feat] Add Dockerfile for reproducible installation

Dockerfile

@@ -0,0 +1,88 @@
+# syntax=docker/dockerfile:1.5
+
+# ==============================================================================
+# RAPIDS cuVS Docker Image - Vector Search and Clustering on GPU
+#
+# Usage:
+#   docker build -t cuvs:latest .
+#   docker run --gpus all -it cuvs:latest
+#
+# Customizable Build Arguments:
+#   docker build --build-arg CUDA_VER=12.8 --build-arg RAPIDS_VER=25.06 -t cuvs:custom .
+# ==============================================================================
+
+# Configurable build arguments - override with --build-arg during build
+ARG CUDA_VER=12.9.1
+
+# Python version for the conda environment (supported: 3.10, 3.11, 3.12)
+ARG PYTHON_VER=3.12
+
+# RAPIDS/cuVS version
+ARG RAPIDS_VER=25.06
+
+FROM nvidia/cuda:${CUDA_VER}-devel-ubuntu24.04
+
+# Display build configuration for verification
+RUN echo "  Building cuVS Docker image with:" && \
+    echo "   CUDA Version: ${CUDA_VER}" && \
+    echo "   Python Version: ${PYTHON_VER}" && \
+    echo "   RAPIDS Version: ${RAPIDS_VER}"
+
+# Container metadata
+LABEL maintainer="RAPIDS cuVS Team"
+LABEL description="RAPIDS cuVS - Vector Search and Clustering on GPU"
+LABEL org.opencontainers.image.source="https://github.com/rapidsai/cuvs"
+LABEL org.opencontainers.image.usage="docker run --gpus all -it <image>"
+
+# Environment setup
+ENV DEBIAN_FRONTEND=noninteractive
+ENV PYTHONUNBUFFERED=1
+ENV CONDA_DIR=/opt/conda
+ENV PATH=${CONDA_DIR}/bin:$PATH
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    wget \
+    ca-certificates \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install Miniforge (lightweight conda with conda-forge defaults)
+RUN wget --quiet https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-x86_64.sh -O /tmp/miniforge.sh && \
+    /bin/bash /tmp/miniforge.sh -b -p ${CONDA_DIR} && \
+    rm /tmp/miniforge.sh && \
+    ${CONDA_DIR}/bin/conda clean -afy
+
+# Create conda environment and install cuVS packages with pinned dependencies
+RUN conda create -n cuvs python=${PYTHON_VER} -y && \
+    conda run -n cuvs conda install -c rapidsai -c conda-forge -c nvidia \
+        cuvs=${RAPIDS_VER} \
+        libcuvs=${RAPIDS_VER} \
+        cuda-version=${CUDA_VER} \
+        "numpy>=1.23,<3.0a0" \
+        "cupy>=12.0.0" \
+        jupyter \
+        ipython \
+        -y && \
+    conda clean -afy
+
+# Create non-root user
+RUN useradd -m -s /bin/bash cuvs
+USER cuvs
+WORKDIR /home/cuvs
+
+# Initialize conda for the user and configure environment activation
+RUN ${CONDA_DIR}/bin/conda init bash && \
+    echo "conda activate cuvs" >> ~/.bashrc && \
+    echo "conda activate cuvs" >> ~/.bash_profile
+
+# Set environment variables for automatic cuvs environment activation
+ENV PATH=${CONDA_DIR}/envs/cuvs/bin:$PATH
+ENV CONDA_DEFAULT_ENV=cuvs
+ENV CONDA_PREFIX=${CONDA_DIR}/envs/cuvs
+
+# Verify installation and show version info
+RUN python -c "import cuvs; print('cuVS version:', cuvs.__version__)"
+
+# Default command
+CMD ["bash"]