Dockerfile.tensorrt_llm

# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

ARG BASE_IMAGE="nvcr.io/nvidia/pytorch"
ARG BASE_IMAGE_TAG="25.05-py3"
ARG RELEASE_BUILD
ARG RUNTIME_IMAGE="nvcr.io/nvidia/cuda"
ARG RUNTIME_IMAGE_TAG="12.9.0-runtime-ubuntu24.04"

# Define general architecture ARGs for supporting both x86 and aarch64 builds.
#   ARCH: Used for package suffixes (e.g., amd64, arm64)
#   ARCH_ALT: Used for Rust targets, manylinux suffix (e.g., x86_64, aarch64)
#
# Default values are for x86/amd64:
#   --build-arg ARCH=amd64 --build-arg ARCH_ALT=x86_64
#
# For arm64/aarch64, build with:
#   --build-arg ARCH=arm64 --build-arg ARCH_ALT=aarch64
#
# NOTE: There isn't an easy way to define one of these values based on the other value
# without adding if statements everywhere, so just define both as ARGs for now.
ARG ARCH=amd64
ARG ARCH_ALT=x86_64

##################################
########## Build Image ###########
##################################

FROM ${BASE_IMAGE}:${BASE_IMAGE_TAG} AS build

# Redeclare ARCH and ARCH_ALT so they're available in this build stage
ARG ARCH
ARG ARCH_ALT
ARG NIXL_REF=3c47a48955e6f96bd5d4fb43a9d80bb64722f8e4

USER root

# Install utilities
RUN apt update -y && \
    apt install -y \
    git \
    wget \
    curl \
    nvtop \
    tmux \
    vim \
    ## NIXL dependencies
    meson \
    ninja-build

### UCX EFA Setup ###
RUN rm -rf /opt/hpcx/ucx
RUN rm -rf /usr/local/ucx
RUN cd /usr/local/src && \
    git clone https://github.com/openucx/ucx.git && \
    cd ucx &&                   \
    git checkout v1.19.x &&     \
    ./autogen.sh && ./configure \
    --prefix=/usr/local/ucx     \
    --enable-shared             \
    --disable-static            \
    --disable-doxygen-doc       \
    --enable-optimizations      \
    --enable-cma                \
    --enable-devel-headers      \
    --with-cuda=/usr/local/cuda \
    --with-verbs                \
    --with-efa                  \
    --with-dm                   \
    --with-gdrcopy=/usr/local   \
    --enable-mt &&              \
    make -j &&                  \
    make -j install-strip &&    \
    ldconfig

ENV LD_LIBRARY_PATH=/usr/lib:/usr/local/ucx/lib:$LD_LIBRARY_PATH
ENV CPATH=/usr/include:$CPATH
ENV PATH=/usr/bin:$PATH
ENV PKG_CONFIG_PATH=/usr/lib/pkgconfig:$PKG_CONFIG_PATH
SHELL ["/bin/bash", "-c"]

# NIXL SETUP
# Clone nixl source, and checkout the nixl ref
RUN git clone "https://github.com/ai-dynamo/nixl.git" /opt/nixl && \
    cd /opt/nixl && \
    git checkout ${NIXL_REF}
RUN if [ "$ARCH" = "arm64" ]; then \
        cd /opt/nixl && \
        mkdir build && \
        meson setup build/ --prefix=/usr/local/nixl -Dgds_path=/usr/local/cuda/targets/sbsa-linux && \
        cd build/ && \
        ninja && \
        ninja install; \
    else \
        cd /opt/nixl && \
        mkdir build && \
        meson setup build/ --prefix=/usr/local/nixl && \
        cd build/ && \
        ninja && \
        ninja install; \
    fi

ENV NIXL_PREFIX=/usr/local/nixl

# nats
RUN wget --tries=3 --waitretry=5 https://github.com/nats-io/nats-server/releases/download/v2.10.28/nats-server-v2.10.28-${ARCH}.deb && \
    dpkg -i nats-server-v2.10.28-${ARCH}.deb && rm nats-server-v2.10.28-${ARCH}.deb

# etcd
ENV ETCD_VERSION="v3.5.21"
RUN wget https://github.com/etcd-io/etcd/releases/download/$ETCD_VERSION/etcd-$ETCD_VERSION-linux-${ARCH}.tar.gz -O /tmp/etcd.tar.gz && \
    mkdir -p /usr/local/bin/etcd && \
    tar -xvf /tmp/etcd.tar.gz -C /usr/local/bin/etcd --strip-components=1 && \
    rm /tmp/etcd.tar.gz
ENV PATH=/usr/local/bin/etcd/:$PATH

ARG HAS_TRTLLM_CONTEXT=0
ARG TENSORRTLLM_PIP_WHEEL="tensorrt-llm"
ARG TENSORRTLLM_INDEX_URL="https://pypi.python.org/simple"

COPY --from=trtllm_wheel . /trtllm_wheel/

# TODO: Currently, ABI compatibility issues with TRTLLM wheel and NGC PyTorch prevent us
# from using the TRTLLM wheel in a uv venv. Once the issues are resolved, we can
# use uv to install TensorRT-LLM wheel within the uv venv.
# Note: TensorRT needs to be uninstalled before installing the TRTLLM wheel
# because there might be mismatched versions of TensorRT between the NGC PyTorch
# and the TRTLLM wheel.
RUN [ -f /etc/pip/constraint.txt ] && : > /etc/pip/constraint.txt || true && \
    pip uninstall -y tensorrt && \
    if [ "$HAS_TRTLLM_CONTEXT" = "1" ]; then \
        # Install from local wheel directory in build context
        WHEEL_FILE=$(find /trtllm_wheel -name "*.whl" | head -n 1); \
        if [ -n "$WHEEL_FILE" ]; then \
            pip install "$WHEEL_FILE"; \
        else \
            echo "No wheel file found in /trtllm_wheel directory."; \
            exit 1; \
        fi; \
    else \
         # Install TensorRT-LLM wheel from the provided index URL, allow dependencies from PyPI
         pip install --index-url "${TENSORRTLLM_INDEX_URL}" \
         --extra-index-url https://pypi.org/simple \
         "${TENSORRTLLM_PIP_WHEEL}" ; \
    fi

# Install test dependencies
RUN --mount=type=bind,source=./container/deps/requirements.test.txt,target=/tmp/requirements.txt \
    pip install --requirement /tmp/requirements.txt

### MISC UTILITY SETUP ###

# Finish pyright install
RUN pyright --help > /dev/null 2>&1

# Enable Git operations in the /workspace directory
RUN printf "[safe]\n      directory=/workspace\n" > /root/.gitconfig

# Rust build/dev dependencies
RUN apt-get update && \
    apt-get install --no-install-recommends -y \
    gdb \
    protobuf-compiler \
    cmake \
    libssl-dev \
    pkg-config \
    libclang-dev

ENV RUSTUP_HOME=/usr/local/rustup \
    CARGO_HOME=/usr/local/cargo \
    PATH=/usr/local/cargo/bin:$PATH \
    RUST_VERSION=1.87.0

# Define Rust target based on ARCH_ALT ARG
ARG RUSTARCH=${ARCH_ALT}-unknown-linux-gnu

# Install Rust using RUSTARCH derived from ARCH_ALT
RUN wget --tries=3 --waitretry=5 "https://static.rust-lang.org/rustup/archive/1.28.1/${RUSTARCH}/rustup-init" && \
    # TODO: Add SHA check back based on RUSTARCH
    chmod +x rustup-init && \
    ./rustup-init -y --no-modify-path --profile default --default-toolchain $RUST_VERSION --default-host ${RUSTARCH} && \
    rm rustup-init && \
    chmod -R a+w $RUSTUP_HOME $CARGO_HOME

ARG CARGO_BUILD_JOBS
# Set CARGO_BUILD_JOBS to 16 if not provided
# This is to prevent cargo from building $(nproc) jobs in parallel,
# which might exceed the number of opened files limit.
ENV CARGO_BUILD_JOBS=${CARGO_BUILD_JOBS:-16}

ENV CARGO_TARGET_DIR=/workspace/target

# Install uv, create virtualenv for general use, and build dynamo wheel
COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/

### VIRTUAL ENVIRONMENT SETUP ###
RUN mkdir /opt/dynamo && \
    uv venv /opt/dynamo/venv --python 3.12
ENV VIRTUAL_ENV=/opt/dynamo/venv

# Install NIXL Python module
RUN cd /opt/nixl && uv build . --out-dir /workspace/wheels/nixl

# Install the wheel
# TODO: Move NIXL wheel install to the wheel_builder stage
RUN uv pip install /workspace/wheels/nixl/*.whl

###################################
####### WHEEL BUILD STAGE #########
###################################

# Redeclare ARCH_ALT ARG so it's available for interpolation in the FROM instruction
ARG ARCH_ALT

FROM quay.io/pypa/manylinux_2_28_${ARCH_ALT} AS wheel_builder
ARG RELEASE_BUILD
ARG CARGO_BUILD_JOBS
# Set CARGO_BUILD_JOBS to 16 if not provided
# This is to prevent cargo from building $(nproc) jobs in parallel,
# which might exceed the number of opened files limit.
ENV CARGO_BUILD_JOBS=${CARGO_BUILD_JOBS:-16}

WORKDIR /workspace

RUN yum update -y \
    && yum install -y llvm-toolset python3.12-devel \
    && yum install -y protobuf-compiler \
    && yum clean all \
    && rm -rf /var/cache/yum

ENV RUSTUP_HOME=/usr/local/rustup \
    CARGO_HOME=/usr/local/cargo \
    CARGO_TARGET_DIR=/workspace/target \
    VIRTUAL_ENV=/opt/dynamo/venv

COPY --from=build $RUSTUP_HOME $RUSTUP_HOME
COPY --from=build $CARGO_HOME $CARGO_HOME
COPY --from=build /workspace /workspace
COPY --from=build $VIRTUAL_ENV $VIRTUAL_ENV
COPY --from=build /usr/local/nixl /opt/nvidia/nvda_nixl
ENV PATH=$CARGO_HOME/bin:$VIRTUAL_ENV/bin:$PATH

# Copy configuration files
COPY pyproject.toml /workspace/
COPY README.md /workspace/
COPY LICENSE /workspace/
COPY Cargo.toml /workspace/
COPY Cargo.lock /workspace/
COPY rust-toolchain.toml /workspace/
COPY hatch_build.py /workspace/

# Copy source code
COPY lib/ /workspace/lib/
COPY components /workspace/components
COPY launch /workspace/launch
COPY deploy/sdk /workspace/deploy/sdk

RUN cargo build \
	--release \
	--locked \
	--features dynamo-llm/block-manager \
	--workspace

# Build dynamo wheels
RUN uv build --wheel --out-dir /workspace/dist && \
    cd /workspace/lib/bindings/python && \
    uv build --wheel --out-dir /workspace/dist --python 3.12 && \
    if [ "$RELEASE_BUILD" = "true" ]; then \
        uv build --wheel --out-dir /workspace/dist --python 3.11 && \
        uv build --wheel --out-dir /workspace/dist --python 3.10; \
    fi

########################################
########## Development Image ###########
########################################

FROM build AS dev

WORKDIR /workspace

COPY --from=wheel_builder /workspace /workspace
# Copy Cargo cache to avoid re-downloading dependencies
COPY --from=wheel_builder $CARGO_HOME $CARGO_HOME

# Copy rest of the code
COPY . /workspace

# Build C bindings, creates lib/bindings/c/include
RUN cd /workspace/lib/bindings/c && cargo build --release --locked

# Package the bindings
RUN mkdir -p /opt/dynamo/bindings/wheels && \
    mkdir /opt/dynamo/bindings/lib && \
    cp dist/ai_dynamo*cp312*.whl /opt/dynamo/bindings/wheels/. && \
    cp target/release/libdynamo_llm_capi.so /opt/dynamo/bindings/lib/. && \
    cp -r lib/bindings/c/include /opt/dynamo/bindings/.  && \
    cp target/release/dynamo-run /usr/local/bin && \
    cp target/release/metrics /usr/local/bin && \
    cp target/release/mock_worker /usr/local/bin

# Install wheels
RUN . /opt/dynamo/venv/bin/activate && \
    uv pip install /workspace/dist/ai_dynamo_runtime*cp312*.whl && \
    uv pip install /workspace/dist/ai_dynamo*any.whl

# Install dynamo.runtime and dynamo.llm wheels globally in container for tests
# TODO: In future, we may use a virtualenv for everything and remove this.
RUN pip install dist/ai_dynamo_runtime*cp312*.whl  && \
    pip install dist/ai_dynamo*any.whl

ENV DYNAMO_HOME=/workspace

ARG ARCH_ALT
ENV LD_LIBRARY_PATH=/usr/local/nixl/lib/${ARCH_ALT}-linux-gnu:$LD_LIBRARY_PATH

# Use UCX for TRTLLM KV Cache Transfer
ARG TRTLLM_USE_NIXL_KVCACHE_EXPERIMENTAL
ENV TRTLLM_USE_UCX_KVCACHE=1

# Create a script that sets the environment variables and source it.
# If TRTLLM_USE_NIXL_KVCACHE_EXPERIMENTAL is set to 1, unset TRTLLM_USE_UCX_KVCACHE
# and set TRTLLM_USE_NIXL_KVCACHE to 1.
RUN echo '#!/bin/bash' > /usr/local/bin/set_trtllm_env.sh && \
    if [ "$TRTLLM_USE_NIXL_KVCACHE_EXPERIMENTAL" = "1" ]; then \
        echo 'unset TRTLLM_USE_UCX_KVCACHE' >> /usr/local/bin/set_trtllm_env.sh; \
        echo 'export TRTLLM_USE_NIXL_KVCACHE=1' >> /usr/local/bin/set_trtllm_env.sh; \
    else \
        echo '# TRTLLM_USE_UCX_KVCACHE should already be set to 1' >> /usr/local/bin/set_trtllm_env.sh; \
    fi && \
    chmod +x /usr/local/bin/set_trtllm_env.sh

# Source the script in bashrc
RUN echo 'source /usr/local/bin/set_trtllm_env.sh' >> /root/.bashrc

# Copy launch banner
RUN --mount=type=bind,source=./container/launch_message.txt,target=/workspace/launch_message.txt \
    sed '/^#\s/d' /workspace/launch_message.txt > ~/.launch_screen && \
    echo "cat ~/.launch_screen" >> ~/.bashrc

# FIXME: May want a modification with dynamo banner on entry
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
CMD []

####################################
########## Runtime Image ###########
####################################

FROM ${RUNTIME_IMAGE}:${RUNTIME_IMAGE_TAG} AS runtime

ARG ARCH_ALT

WORKDIR /workspace
ENV DYNAMO_HOME=/workspace
ENV VIRTUAL_ENV=/opt/dynamo/venv
ENV PATH="${VIRTUAL_ENV}/bin:${PATH}"

# Install apt dependencies
# openssh-client, openssh-server are needed for OpenMPI
RUN apt-get update && \
    DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
        build-essential \
        python3-dev \
        openssh-client \
        openssh-server && \
    rm -rf /var/lib/apt/lists/*

# Copy all bindings (wheels, lib, include) from dev image
COPY --from=dev /opt/dynamo/bindings /opt/dynamo/bindings

# Copy nats and etcd from build image
COPY --from=build /usr/bin/nats-server /usr/bin/nats-server
COPY --from=build /usr/local/bin/etcd/ /usr/local/bin/etcd/

# Copy UCX from build image as plugin for NIXL
COPY --from=build /usr/local/ucx /usr/local/ucx
# Copy NIXL source from build image (required for NIXL plugins)
COPY --from=build /usr/local/nixl /usr/local/nixl
# Copy OpenMPI from build image
COPY --from=build /opt/hpcx/ompi /opt/hpcx/ompi
# Copy NUMA library from build image
COPY --from=build /usr/lib/${ARCH_ALT}-linux-gnu/libnuma.so* /usr/lib/${ARCH_ALT}-linux-gnu/

# Setup the python environment
COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
RUN uv venv $VIRTUAL_ENV --python 3.12 && \
    echo "source $VIRTUAL_ENV/bin/activate" >> ~/.bashrc

# Common dependencies
# TODO: Remove extra install and use pyproject.toml to define all dependencies
RUN --mount=type=bind,source=./container/deps/requirements.txt,target=/tmp/requirements.txt \
    uv pip install --requirement /tmp/requirements.txt

# Install test dependencies
# TODO: Remove this once we have a functional CI image built on top of the runtime image
RUN --mount=type=bind,source=./container/deps/requirements.test.txt,target=/tmp/requirements.txt \
    uv pip install --requirement /tmp/requirements.txt

# Copy CUDA toolkit components needed for nvcc, cudafe, cicc etc.
COPY --from=build /usr/local/cuda/bin/nvcc /usr/local/cuda/bin/nvcc
COPY --from=build /usr/local/cuda/bin/cudafe++ /usr/local/cuda/bin/cudafe++
COPY --from=build /usr/local/cuda/bin/ptxas /usr/local/cuda/bin/ptxas
COPY --from=build /usr/local/cuda/bin/fatbinary /usr/local/cuda/bin/fatbinary
COPY --from=build /usr/local/cuda/include/ /usr/local/cuda/include/
COPY --from=build /usr/local/cuda/lib64/libcudart.so* /usr/local/cuda/lib64/
COPY --from=build /usr/local/cuda/nvvm /usr/local/cuda/nvvm

# Copy pytorch installation from NGC PyTorch
ARG TORCH_VER=2.8.0a0+5228986c39.nv25.5
ARG TORCHVISION_VER=0.22.0a0
ARG SETUPTOOLS_VER=78.1.1
ARG PYTORCH_TRITON_VER=3.3.0+git96316ce52.nvinternal
ARG JINJA2_VER=3.1.6
ARG NETWORKX_VER=3.4.2
ARG SYMPY_VER=1.14.0
ARG PACKAGING_VER=23.2
ARG FLASH_ATTN_VER=2.7.3
ARG MPMATH_VER=1.3.0
COPY --from=build /usr/local/lib/lib* /usr/local/lib/
COPY --from=build /usr/local/lib/python3.12/dist-packages/torch /usr/local/lib/python3.12/dist-packages/torch
COPY --from=build /usr/local/lib/python3.12/dist-packages/torch-${TORCH_VER}.dist-info /usr/local/lib/python3.12/dist-packages/torch-${TORCH_VER}.dist-info
COPY --from=build /usr/local/lib/python3.12/dist-packages/torchgen /usr/local/lib/python3.12/dist-packages/torchgen
COPY --from=build /usr/local/lib/python3.12/dist-packages/torchvision /usr/local/lib/python3.12/dist-packages/torchvision
COPY --from=build /usr/local/lib/python3.12/dist-packages/torchvision-${TORCHVISION_VER}.dist-info /usr/local/lib/python3.12/dist-packages/torchvision-${TORCHVISION_VER}.dist-info
COPY --from=build /usr/local/lib/python3.12/dist-packages/torchvision.libs /usr/local/lib/python3.12/dist-packages/torchvision.libs
COPY --from=build /usr/local/lib/python3.12/dist-packages/setuptools /usr/local/lib/python3.12/dist-packages/setuptools
COPY --from=build /usr/local/lib/python3.12/dist-packages/setuptools-${SETUPTOOLS_VER}.dist-info /usr/local/lib/python3.12/dist-packages/setuptools-${SETUPTOOLS_VER}.dist-info
COPY --from=build /usr/local/lib/python3.12/dist-packages/functorch /usr/local/lib/python3.12/dist-packages/functorch
COPY --from=build /usr/local/lib/python3.12/dist-packages/triton /usr/local/lib/python3.12/dist-packages/triton
COPY --from=build /usr/local/lib/python3.12/dist-packages/pytorch_triton-${PYTORCH_TRITON_VER}.dist-info /usr/local/lib/python3.12/dist-packages/pytorch_triton-${PYTORCH_TRITON_VER}.dist-info
COPY --from=build /usr/local/lib/python3.12/dist-packages/jinja2 /usr/local/lib/python3.12/dist-packages/jinja2
COPY --from=build /usr/local/lib/python3.12/dist-packages/jinja2-${JINJA2_VER}.dist-info /usr/local/lib/python3.12/dist-packages/jinja2-${JINJA2_VER}.dist-info
COPY --from=build /usr/local/lib/python3.12/dist-packages/networkx /usr/local/lib/python3.12/dist-packages/networkx
COPY --from=build /usr/local/lib/python3.12/dist-packages/networkx-${NETWORKX_VER}.dist-info /usr/local/lib/python3.12/dist-packages/networkx-${NETWORKX_VER}.dist-info
COPY --from=build /usr/local/lib/python3.12/dist-packages/sympy /usr/local/lib/python3.12/dist-packages/sympy
COPY --from=build /usr/local/lib/python3.12/dist-packages/sympy-${SYMPY_VER}.dist-info /usr/local/lib/python3.12/dist-packages/sympy-${SYMPY_VER}.dist-info
COPY --from=build /usr/local/lib/python3.12/dist-packages/packaging /usr/local/lib/python3.12/dist-packages/packaging
COPY --from=build /usr/local/lib/python3.12/dist-packages/packaging-${PACKAGING_VER}.dist-info /usr/local/lib/python3.12/dist-packages/packaging-${PACKAGING_VER}.dist-info
COPY --from=build /usr/local/lib/python3.12/dist-packages/flash_attn /usr/local/lib/python3.12/dist-packages/flash_attn
COPY --from=build /usr/local/lib/python3.12/dist-packages/flash_attn-${FLASH_ATTN_VER}.dist-info /usr/local/lib/python3.12/dist-packages/flash_attn-${FLASH_ATTN_VER}.dist-info
COPY --from=build /usr/local/lib/python3.12/dist-packages/flash_attn_2_cuda.cpython-312-*-linux-gnu.so /usr/local/lib/python3.12/dist-packages/

# Setup environment variables
ENV NIXL_PLUGIN_DIR=/usr/local/nixl/lib/${ARCH_ALT}-linux-gnu/plugins
ENV LD_LIBRARY_PATH=/usr/local/nixl/lib/${ARCH_ALT}-linux-gnu:/usr/local/nixl/lib/${ARCH_ALT}-linux-gnu/plugins:/usr/local/ucx/lib:/opt/hpcx/ompi/lib:$LD_LIBRARY_PATH
ENV PATH=/opt/hpcx/ompi/bin:/usr/local/bin/etcd/:/usr/local/cuda/nvvm/bin:$PATH
ENV OPAL_PREFIX=/opt/hpcx/ompi

# Install TensorRT-LLM (same as in build stage)
ARG HAS_TRTLLM_CONTEXT=0
ARG TENSORRTLLM_PIP_WHEEL="tensorrt-llm"
ARG TENSORRTLLM_INDEX_URL="https://pypi.python.org/simple"

# Copy Dynamo wheels into wheelhouse
COPY --from=dev /workspace/wheels/nixl/*.whl wheelhouse/
COPY --from=wheel_builder /workspace/dist/*.whl wheelhouse/

RUN uv pip install --index-url "${TENSORRTLLM_INDEX_URL}" \
    --extra-index-url https://pypi.org/simple \
    "${TENSORRTLLM_PIP_WHEEL}" && \
    uv pip install ai-dynamo nixl --find-links wheelhouse

# Setup TRTLLM environment variables, same as in dev image
ENV TRTLLM_USE_UCX_KVCACHE=1
COPY --from=dev /usr/local/bin/set_trtllm_env.sh /usr/local/bin/set_trtllm_env.sh
RUN echo 'source /usr/local/bin/set_trtllm_env.sh' >> /root/.bashrc

# Copy benchmarks, backends and tests for CI
# TODO: Remove this once we have a functional CI image built on top of the runtime image
COPY tests /workspace/tests
COPY benchmarks /workspace/benchmarks
COPY components/backends/trtllm /workspace/components/backends/trtllm
RUN uv pip install /workspace/benchmarks

# Copy files for legal compliance
COPY ATTRIBUTION* LICENSE /workspace/

# Copy launch banner
RUN --mount=type=bind,source=./container/launch_message.txt,target=/workspace/launch_message.txt \
    sed '/^#\s/d' /workspace/launch_message.txt > ~/.launch_screen && \
    echo "cat ~/.launch_screen" >> ~/.bashrc

ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
CMD []