Tag

prisma/prisma-ai-trainer:7.16.14-cuda
Content Digest: sha256:ece7c78d1c7668837422033d1c6fdc6ccbd945345c9c9628c590d9ea7cd4823a
Details
Pull Command

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

Manifests
Details
Content Digest

sha256:eab52125585a8bacc551c5a2c56230812f4431292a85d1098f207df4c25ce639

Created

2026-10-08 07:50:41 UTC

Size

2.88 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 - 0.96% (28.4 MB)

[#001] sha256:62983ab1bb094cf1b1442d6a16065c2cda241ea460c57856be6a558e2147ba83 - 2.1% (61.9 MB)

[#002] sha256:9db1dcbf605d9ff3d07fa441de3c3d7ad87d1e8537b60b0eb938abd1a115b900 - 5.64% (167 MB)

[#003] sha256:ef0b94f44f9a3e617ecc3be7fc0270fd4fc82d0632b334943325429cea7d7553 - 90.87% (2.62 GB)

[#004] sha256:11985b78efe69acee3510f9be7e12449a81bb0c1c6a2e115288fda1f671b59bb - 0.0% (166 Bytes)

[#005] sha256:a05efb828047977143a6e2839d2ee5d1be995e210538cdef71e309125b710c9e - 0.43% (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 13:46:26 UTC

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

2026-09-29 13:46:50 UTC

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

2026-09-29 13:46:54 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 13:46:57 UTC

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

2026-09-29 13:46:59 UTC

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

2026-09-29 13:47:01 UTC

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

2026-10-08 07:50:24 UTC

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

2026-10-08 07:50:30 UTC

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

2026-10-08 07:50:33 UTC

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

2026-10-08 07:50:35 UTC

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

2026-10-08 07:50:36 UTC

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

2026-10-08 07:50:38 UTC

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

2026-10-08 07:50:40 UTC

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

2026-10-08 07:50:41 UTC

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