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CPU based environment for pipelines (ML Designer).
Version: 63
OS : Ubuntu22.04 Python : 3.1
OS : Ubuntu22.04
Python : 3.1
View in Studio: https://ml.azure.com/registries/azureml/environments/mldesigner/version/63
Docker image: mcr.microsoft.com/azureml/curated/mldesigner:63
FROM mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu22.04:20260908.v1 WORKDIR / ENV CONDA_PREFIX=/azureml-envs/mldesigner ENV CONDA_DEFAULT_ENV=$CONDA_PREFIX ENV PATH=$CONDA_PREFIX/bin:$PATH # This is needed for mpi to locate libpython ENV LD_LIBRARY_PATH=$CONDA_PREFIX/lib:$LD_LIBRARY_PATH # Create conda environment COPY conda_dependencies.yaml . RUN conda env create -p $CONDA_PREFIX -f conda_dependencies.yaml -q && \ rm conda_dependencies.yaml && \ conda run -p $CONDA_PREFIX pip cache purge && \ conda clean -a -y