csi-mlserver-spark-iris (v1-1.7.1-2026.10.13)
Published 2026-10-13 11:10:25 +00:00 by action-run
Installation
docker pull gitea.bv-svc.duckdns.org/csi/csi-mlserver-spark-iris:v1-1.7.1-2026.10.13sha256:b9aeb62170bb1b56c794ca2444db19af2e1b3314dce3a536c9f83f9b10fc628eAbout this package
MLServer 1.7.1 con le librerie del modello spark-iris v1
Image Layers
| LABEL maintainer="Red Hat, Inc." |
| LABEL vendor="Red Hat, Inc." |
| LABEL url="https://www.redhat.com" |
| LABEL com.redhat.component="ubi9-minimal-container" name="ubi9-minimal" version="9.6" distribution-scope="public" |
| LABEL com.redhat.license_terms="https://www.redhat.com/en/about/red-hat-end-user-license-agreements#UBI" |
| LABEL summary="Provides the latest release of the minimal Red Hat Universal Base Image 9." |
| LABEL description="The Universal Base Image Minimal is a stripped down image that uses microdnf as a package manager. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly." |
| LABEL io.k8s.description="The Universal Base Image Minimal is a stripped down image that uses microdnf as a package manager. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly." |
| LABEL io.k8s.display-name="Red Hat Universal Base Image 9 Minimal" |
| LABEL io.openshift.expose-services="" |
| LABEL io.openshift.tags="minimal rhel9" |
| ENV container oci |
| COPY dir:9782e2e1b0ca599e0a33d178720d08213ae97157f753b7e5bae27ac0755f7280 in / |
| COPY file:b37d593713ee21ad52a4cd1424dc019a24f7966f85df0ac4b86d234302695328 in /etc/yum.repos.d/. |
| CMD ["/bin/bash"] |
| COPY file:58cc94f5b3b2d60de2c77a6ed4b1797dcede502ccdb429a72e7a72d994235b3c in /usr/share/buildinfo/content-sets.json |
| LABEL "build-date"="2025-05-14T10:35:47" "architecture"="x86_64" "vcs-type"="git" "vcs-ref"="f2f252e0ac953b9e80eaebfc08ec086edac81945" "release"="1747218906" |
| SHELL [/bin/bash -c] |
| ARG PYTHON_VERSION=3.10.12 |
| ARG CONDA_VERSION=23.11.0 |
| ARG MINIFORGE_VERSION=23.11.0-0 |
| ARG RUNTIMES=mlserver-mlflow |
| ENV MLSERVER_MODELS_DIR=/mnt/models MLSERVER_ENV_TARBALL=/mnt/models/environment.tar.gz MLSERVER_PATH=/opt/mlserver CONDA_PATH=/opt/conda PATH=/opt/mlserver/.local/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/opt/conda/lib/python3.10/site-packages/nvidia/cuda_runtime/lib: HF_HOME=/opt/mlserver/.cache NUMBA_CACHE_DIR=/opt/mlserver/.cache |
| RUN |4 PYTHON_VERSION=3.10.12 CONDA_VERSION=23.11.0 MINIFORGE_VERSION=23.11.0-0 RUNTIMES=mlserver-mlflow /bin/bash -c microdnf update -y && microdnf install -y tar gzip libgomp mesa-libGL glib2-devel shadow-utils git # buildkit |
| RUN |4 PYTHON_VERSION=3.10.12 CONDA_VERSION=23.11.0 MINIFORGE_VERSION=23.11.0-0 RUNTIMES=mlserver-mlflow /bin/bash -c microdnf install -y wget && wget "https://github.com/conda-forge/miniforge/releases/download/${MINIFORGE_VERSION}/Miniforge3-${MINIFORGE_VERSION}-Linux-x86_64.sh" -O miniforge3.sh && bash "./miniforge3.sh" -b -p $CONDA_PATH && rm ./miniforge3.sh && echo $PATH && conda install --yes conda=$CONDA_VERSION python=$PYTHON_VERSION ffmpeg && conda clean -tipy && microdnf remove -y wget && echo "conda activate base" >> "$CONDA_PATH/etc/profile.d/conda.sh" && ln -s "$CONDA_PATH/etc/profile.d/conda.sh" /etc/profile.d/conda.sh && echo ". $CONDA_PATH/etc/profile.d/conda.sh" >> ~/.bashrc # buildkit |
| RUN |4 PYTHON_VERSION=3.10.12 CONDA_VERSION=23.11.0 MINIFORGE_VERSION=23.11.0-0 RUNTIMES=mlserver-mlflow /bin/bash -c mkdir $MLSERVER_PATH # buildkit |
| WORKDIR /opt/mlserver |
| RUN |4 PYTHON_VERSION=3.10.12 CONDA_VERSION=23.11.0 MINIFORGE_VERSION=23.11.0-0 RUNTIMES=mlserver-mlflow /bin/bash -c useradd -u 1000 -s /bin/bash mlserver -d $MLSERVER_PATH && chown -R 1000:0 $MLSERVER_PATH && chmod -R 776 $MLSERVER_PATH # buildkit |
| COPY /opt/mlserver/dist ./dist # buildkit |
| RUN |4 PYTHON_VERSION=3.10.12 CONDA_VERSION=23.11.0 MINIFORGE_VERSION=23.11.0-0 RUNTIMES=mlserver-mlflow /bin/bash -c . $CONDA_PATH/etc/profile.d/conda.sh && pip install --upgrade pip wheel setuptools && if [[ $RUNTIMES == "all" ]]; then for _wheel in "./dist/mlserver_"*.whl; do if [[ ! $_wheel == *"mllib"* ]]; then echo "--> Installing $_wheel..."; pip install $_wheel --constraint ./dist/constraints.txt; fi done else for _runtime in $RUNTIMES; do _wheelName=$(echo $_runtime | tr '-' '_'); _wheel="./dist/$_wheelName-"*.whl; echo "--> Installing $_wheel..."; pip install $_wheel --constraint ./dist/constraints.txt; done fi && pip install $(ls "./dist/mlserver-"*.whl) --constraint ./dist/constraints.txt && rm -f /opt/conda/lib/python3.10/site-packages/spacy/tests/package/requirements.txt && rm -rf /root/.cache/pip # buildkit |
| COPY ./licenses/license.txt . # buildkit |
| COPY ./licenses/license.txt /licenses/ # buildkit |
| COPY ./hack/build-env.sh ./hack/generate_dotenv.py ./hack/activate-env.sh ./hack/ # buildkit |
| USER 1000 |
| CMD ["/bin/bash" "-c" ". $CONDA_PATH/etc/profile.d/conda.sh && source ./hack/activate-env.sh $MLSERVER_ENV_TARBALL && mlserver start $MLSERVER_MODELS_DIR"] |
| ARG MLSERVER_VERSION=1.7.1 |
| ARG MODEL=spark-iris |
| ARG MODEL_VERSION=1 |
| USER root |
| COPY models/spark-iris/1/ /tmp/model-env/ # buildkit |
| RUN |3 MLSERVER_VERSION=1.7.1 MODEL=spark-iris MODEL_VERSION=1 /bin/bash -c test -n "${MODEL}" -a -n "${MODEL_VERSION}" && grep -viE '^mlflow(-skinny)?([=<>!~ ;]|$)' /tmp/model-env/requirements.txt > /tmp/requirements.txt && touch /tmp/model-env/constraints.txt && pip install --no-cache-dir -r /tmp/requirements.txt -c /tmp/model-env/constraints.txt && pip check && if [ -f /tmp/model-env/post-install.sh ]; then sh /tmp/model-env/post-install.sh; fi && rm -rf /tmp/model-env /tmp/requirements.txt # buildkit |
| USER 1000 |
| LABEL org.opencontainers.image.description=MLServer 1.7.1 con le librerie del modello spark-iris v1 |
Labels
| Key | Value |
|---|---|
| architecture | x86_64 |
| build-date | 2025-05-14T10:35:47 |
| com.redhat.component | ubi9-minimal-container |
| com.redhat.license_terms | https://www.redhat.com/en/about/red-hat-end-user-license-agreements#UBI |
| description | MLServer aims to provide an easy way to start serving your machine learning models through a REST and gRPC interface, fully compliant with KFServing’s V2 Dataplane spec. |
| distribution-scope | public |
| io.buildah.version | 1.39.0-dev |
| io.k8s.description | The Universal Base Image Minimal is a stripped down image that uses microdnf as a package manager. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly. |
| io.k8s.display-name | Red Hat Universal Base Image 9 Minimal |
| io.openshift.expose-services | |
| io.openshift.tags | minimal rhel9 |
| maintainer | hello@seldon.io |
| name | mlserver |
| org.opencontainers.image.description | MLServer 1.7.1 con le librerie del modello spark-iris v1 |
| release | 1.7.1 |
| summary | An open source inference server for your machine learning models. |
| url | https://www.redhat.com |
| vcs-ref | f2f252e0ac953b9e80eaebfc08ec086edac81945 |
| vcs-type | git |
| vendor | SeldonIO |
| version | 1.7.1 |
Details
2026-10-13 11:10:25 +00:00
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Container
4
OCI / Docker
linux/amd64
1.1 GiB
v1-1.7.1-2026.10.13
2026-10-13