Tag

prisma/prisma-ai-trainer:7.16.14-cpu
Content Digest: sha256:afc3391489a9f2e0671426a666428d19bced71977e0c8be216f15adf5d32fd0f
Details
Pull Command

docker pull images.intellitrend.de/prisma/prisma-ai-trainer:7.16.14-cpu

Manifests
Details
Content Digest

sha256:e4c8d44b5afe69e6cf7296204e9cececcbd0b6017ece72587e8871a2d5241ee7

Created

2026-10-08 07:50:15 UTC

Size

1.16 GB

Labels
  • maintainer
    Anaconda, Inc
  • org.opencontainers.image.created
    2026-10-08T07:49:21Z
  • org.opencontainers.image.description
    Trains AI models for Prisma.
  • org.opencontainers.image.licenses
  • org.opencontainers.image.revision
    1c4384d7daa2d7d9497038f5667625e1637bb0c3
  • org.opencontainers.image.source
    https://github.com/anaconda/docker-images
  • org.opencontainers.image.title
    Prisma AI Trainer
  • org.opencontainers.image.url
    https://www.intellitrend.de/content/en/prisma/
  • org.opencontainers.image.vendor
    IntelliTrend GmbH
  • org.opencontainers.image.version
    7.16.14
Environment
CONDA_DEFAULT_ENV

prisma

CONDA_ENV_PATH

/opt/conda/envs/prisma

LANG

C.UTF-8

LC_ALL

C.UTF-8

PATH

/opt/conda/envs/prisma/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin

Layers

[#000] sha256:206356c42440674ecbdf1070cf70ce8ef7885ac2e5c56f1ecf800b758f6b0419 - 2.39% (28.4 MB)

[#001] sha256:62983ab1bb094cf1b1442d6a16065c2cda241ea460c57856be6a558e2147ba83 - 5.22% (61.9 MB)

[#002] sha256:9db1dcbf605d9ff3d07fa441de3c3d7ad87d1e8537b60b0eb938abd1a115b900 - 14.04% (167 MB)

[#003] sha256:9dd602457b4e5a45626ec7111b6c711142a70e13cfc2549fce2a9639248940f5 - 77.28% (917 MB)

[#004] sha256:44b88c6f46a8340c47c8b65cc5fc81415658d7c0db12003eb6ea7d692c850aa6 - 0.0% (165 Bytes)

[#005] sha256:1a5128f6f1df5486669268aa20da886d40eb7e949cd2a8f6e09908dc04d49b7f - 1.07% (12.7 MB)

History
2026-02-23 00:00:00 UTC (debuerreotype 0.17)

# debian.sh --arch 'amd64' out/ 'trixie' '@1771804800'

2026-03-06 18:21:51 UTC (buildkit.dockerfile.v0)

LABEL maintainer=Anaconda, Inc

2026-03-06 18:21:51 UTC (buildkit.dockerfile.v0)

ENV LANG=C.UTF-8 LC_ALL=C.UTF-8

2026-03-06 18:21:51 UTC (buildkit.dockerfile.v0)

RUN /bin/sh -c apt-get update -q && apt-get install -q -y --no-install-recommends bzip2 ca-certificates git libglib2.0-0 libsm6 libxext6 libxrender1 mercurial openssh-client procps subversion wget && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit

2026-03-06 18:21:51 UTC (buildkit.dockerfile.v0)

ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin

2026-03-06 18:21:51 UTC (buildkit.dockerfile.v0)

CMD ["/bin/bash"]

2026-03-06 18:21:51 UTC (buildkit.dockerfile.v0)

ARG INSTALLER_URL_LINUX64=https://repo.anaconda.com/miniconda/Miniconda3-py313_26.1.1-1-Linux-x86_64.sh

2026-03-06 18:21:51 UTC (buildkit.dockerfile.v0)

ARG SHA256SUM_LINUX64=f6dfb5b59614fd7b2956b240b2575a9d58203ec7f7a99f85128158a0fdc5c1d7

2026-03-06 18:21:51 UTC (buildkit.dockerfile.v0)

ARG INSTALLER_URL_AARCH64=https://repo.anaconda.com/miniconda/Miniconda3-py313_26.1.1-1-Linux-aarch64.sh

2026-03-06 18:21:51 UTC (buildkit.dockerfile.v0)

ARG SHA256SUM_AARCH64=07c82b5aec04d5f0f3e4b246835b6bc85e104821cbcb0a059c7ea80f028503f4

2026-03-06 18:22:12 UTC (buildkit.dockerfile.v0)

RUN |4 INSTALLER_URL_LINUX64=https://repo.anaconda.com/miniconda/Miniconda3-py313_26.1.1-1-Linux-x86_64.sh SHA256SUM_LINUX64=f6dfb5b59614fd7b2956b240b2575a9d58203ec7f7a99f85128158a0fdc5c1d7 INSTALLER_URL_AARCH64=https://repo.anaconda.com/miniconda/Miniconda3-py313_26.1.1-1-Linux-aarch64.sh SHA256SUM_AARCH64=07c82b5aec04d5f0f3e4b246835b6bc85e104821cbcb0a059c7ea80f028503f4 /bin/sh -c set -x && UNAME_M="$(uname -m)" && if [ "${UNAME_M}" = "x86_64" ]; then INSTALLER_URL="${INSTALLER_URL_LINUX64}"; SHA256SUM="${SHA256SUM_LINUX64}"; elif [ "${UNAME_M}" = "aarch64" ]; then INSTALLER_URL="${INSTALLER_URL_AARCH64}"; SHA256SUM="${SHA256SUM_AARCH64}"; fi && wget "${INSTALLER_URL}" -O miniconda.sh -q && echo "${SHA256SUM} miniconda.sh" > shasum && sha256sum --check --status shasum && mkdir -p /opt && bash miniconda.sh -b -p /opt/conda && rm miniconda.sh shasum && ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && echo "conda activate" >> ~/.bashrc && /opt/conda/bin/conda tos accept && /opt/conda/bin/conda remove --force-remove -y conda-anaconda-tos && rm -rf ~/.conda/tos && find /opt/conda/ -follow -type f -name '*.a' -delete && find /opt/conda/ -follow -type f -name '*.js.map' -delete && /opt/conda/bin/conda clean -afy # buildkit

2026-09-29 13:44:02 UTC

/bin/sh -c conda create -y -n prisma python=3.11 && /opt/conda/envs/prisma/bin/pip install --no-cache-dir "tensorflow==2.18.0" scipy

2026-09-29 13:44:16 UTC

/bin/sh -c #(nop) ENV CONDA_ENV_PATH=/opt/conda/envs/prisma

2026-09-29 13:44:20 UTC

/bin/sh -c #(nop) ENV PATH=/opt/conda/envs/prisma/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin

2026-09-29 13:44:22 UTC

/bin/sh -c #(nop) ENV CONDA_DEFAULT_ENV=prisma

2026-09-29 13:44:24 UTC

/bin/sh -c #(nop) WORKDIR /usr/local/intellitrend/prisma/bin

2026-09-29 13:44:26 UTC

/bin/sh -c #(nop) CMD ["./prisma-ai-trainer"]

2026-10-08 07:50:04 UTC

/bin/sh -c #(nop) COPY file:cdb68eebb6f2ee6a28369c84e44df17ebbdb1cd85c338a284876526b937fd418 in /usr/local/intellitrend/prisma/bin/

2026-10-08 07:50:07 UTC

/bin/sh -c #(nop) LABEL org.opencontainers.image.created=2026-10-08T07:49:21Z

2026-10-08 07:50:08 UTC

/bin/sh -c #(nop) LABEL org.opencontainers.image.description=Trains AI models for Prisma.

2026-10-08 07:50:10 UTC

/bin/sh -c #(nop) LABEL org.opencontainers.image.revision=1c4384d7daa2d7d9497038f5667625e1637bb0c3

2026-10-08 07:50:11 UTC

/bin/sh -c #(nop) LABEL org.opencontainers.image.title=Prisma AI Trainer

2026-10-08 07:50:12 UTC

/bin/sh -c #(nop) LABEL org.opencontainers.image.url=https://www.intellitrend.de/content/en/prisma/

2026-10-08 07:50:14 UTC

/bin/sh -c #(nop) LABEL org.opencontainers.image.vendor=IntelliTrend GmbH

2026-10-08 07:50:15 UTC

/bin/sh -c #(nop) LABEL org.opencontainers.image.version=7.16.14