NVIDIA
NVIDIA
CUDA Deep Learning
Container
NVIDIA
NVIDIA
CUDA Deep Learning

CUDA is a parallel computing platform and programming model that enhances computing performance using NVIDIA GPUs. CUDA Deep Learning integrates networking and GPU-accelerated libraries like cuDNN, cuTensor, NCCL, HPC-x, and the CUDA Toolkit.

LayerLabelCreated
sha256:b3b5ea7e75ed21dc58c6e82dc0bd9aa475c3f62c160addd665d37a9468453fe6RUN
RUN |5 ENABLE_MITMPROXY=0 VERSION_LIST=CURAND_VERSION CUBLAS_VERSION CUFILE_VERSION LIBFABRIC_INSTALL_PATH=/opt/amazon/efa RDMA_CORE_PREFIX=/usr TARGETARCH=amd64 /bin/sh -c set -exo pipefail if [ "${ENABLE_MITMPROXY}" = "1" ]; then /tmp/manage_cert.sh install; fi mkdir -p /usr/local/nixl cp -a /nixl/usr/local/nixl/. /usr/local/nixl/ ls -lart /usr/local/nixl # Copy etcd library # apt-get update # apt-get install -y libssl-dev libprotobuf-dev libgrpc-dev libgrpc++-dev protobuf-compiler-grpc # rm -rf /var/lib/apt/lists/* cp /nixl/usr/local/lib/libetcd-cpp-api-core.so /usr/local/lib/libetcd-cpp-api-core.so # Copy aws-sdk-cpp headers mkdir -p /usr/local/include/aws cp -a /nixl/usr/local/include/aws/. /usr/local/include/aws/ cp -a /nixl/usr/local/lib/libaws-* /usr/local/lib/ ls -lart /usr/local/include/aws # Copy gusli headers cp -a /nixl/usr/include/gus* /usr/include/ cp -a /nixl/usr/lib/libg* /usr/lib/ # Copy nixlbench mkdir -p /usr/local/nixlbench/bin /usr/local/nixlbench/include /usr/local/nixlbench/lib cp -a /nixl/usr/local/nixlbench/. /usr/local/nixlbench/ ls -lart /usr/local/nixlbench # Install nixlbench runtime dependencies apt update apt install -y libgflags-dev libgrpc-dev libgrpc++-dev libaio1t64 liburing2 rm -rf /var/lib/apt/lists/* # Copy s2n-tls headers and libs cp -a /nixl/usr/local/s2n-tls-install/include/. /usr/local/include/ cp -a /nixl/usr/local/s2n-tls-install/lib/. /usr/local/lib/ ls -lart /usr/local/lib/libs2n* # aws-cli needed by nixlbench with OBJ backend export ARCH=x86_64 if [ "$TARGETARCH" = "arm64" ]; then ARCH=aarch64 fi curl "https://awscli.amazonaws.com/awscli-exe-linux-${ARCH}.zip" -o "awscliv2.zip" unzip awscliv2.zip &&
  ./aws/install &&
  rm -rf awscliv2.zip aws aws --version ldconfig if [ "${ENABLE_MITMPROXY}" = "1" ]; then /tmp/manage_cert.sh uninstall; fi # buildkit
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sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TARGETARCH=amd64
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sha256:51e746b92edc4651c5f208ed91fec2cd1e0393b098914f6af51e65c05f45157bCOPY
./common.sh ./common.sh
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sha256:f4275771a4eb9738cbfedcb831ebba0176ac472048a15c94f12841678b529765COPY
./test_nixlbench.sh ./test_nixlbench.sh
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sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
LD_LIBRARY_PATH=/usr/local/nixlbench/lib:/usr/local/lib:/opt/amazon/efa/lib:/usr/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/nixl/lib/x86_64-linux-gnu:/usr/local/nixl/lib/aarch64-linux-gnu
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sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PATH=/usr/local/nixlbench/bin:/usr/local/nixl/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin
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sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
ENABLE_MITMPROXY=0
04/11/2026 7:39 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
LD_LIBRARY_PATH=/usr/local/lib:/opt/amazon/efa/lib:/usr/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/nixl/lib/x86_64-linux-gnu:/usr/local/nixl/lib/aarch64-linux-gnu
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sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
RDMA_CORE_PREFIX=/usr
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sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
LIBFABRIC_INSTALL_PATH=/opt/amazon/efa
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