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environments documentation
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Environment used by Draft Model Training Pipeline
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acft-group-relative-policy-optimization
Environment used by Group Relative Policy Optimization component
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Environment used by Hugging Face NLP Finetune components
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Environment used by Hugging Face NLP Finetune components
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acft-medimageinsight-adapter-finetune
AzureML ACFT MedImageInsight Adapter Image for Training
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acft-medimageinsight-embedding
Environment used by MedImageInsight Embedding Finetune Component
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acft-medimageinsight-embedding-generator
Environment used by MedImageInsight Embedding Generation component
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AzureML ACFT MedImageParse Image for Training
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Environment used by MMDetection Image Finetune components
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Environment used by MMTracking Video Finetune components
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Environment used by Multimodal classification Finetune components
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Environment used by Multi-Strategy Reinforcement Finetuning Trainer
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Environment used by HuggingFace Transformers Image Finetune components
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acpt-automl-image-framework-selector-gpu
Environment used by framework selector component for automl image workloads
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Recommended environment for Deep Learning with PyTorch on Azure containing the Azure ML SDK with the latest compatible versions of Ubuntu, Python, PyTorch, CUDA\RocM, combined with optimizers like ORT Training,+DeepSpeed+MSCCL+ORT MoE and more. The image introduces preview of new fastcheckpointin...
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Recommended environment for Deep Learning in public preview with PyTorch on Azure containing the Azure ML SDK with the latest compatible versions of Ubuntu, Python, PyTorch, CUDA\RocM, combined with optimizers like ORT Training,+DeepSpeed+MSCCL+ORT MoE and more. The image introduces newly release...
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Recommended environment for Deep Learning in public preview with PyTorch on Azure containing the Azure ML SDK with the latest compatible versions of Ubuntu, Python, PyTorch, CUDA\RocM, combined with optimizers like ORT Training,+DeepSpeed+MSCCL+ORT MoE and more. The image introduces newly release...
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An environment used by Azure ML AutoML for training models.
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An environment used by Azure ML AutoML for training models.
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ai-ml-automl-dnn-forecasting-gpu
An environment used by Azure ML AutoML for training models.
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An environment used by Azure ML AutoML for training models.
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An environment used by Azure ML AutoML for training models.
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ai-ml-automl-dnn-text-gpu-ptca
An environment used by Azure ML AutoML for training models.
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An environment used by Azure ML AutoML for training models.
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An environment used by Azure ML AutoML for training models.
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(Public Preview) Environment for Generative AI on Azure containing the Prompt flow SDK with the latest compatible versions of Debian Linux and Python. This environment is part of a preview feature, and subject to the supplemental terms of use for [Microsoft Azure Previews](https://azure.microsoft...
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Environment used by proxy AOAI components
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GPU based environment for finetuning AutoML legacy models for image tasks.
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An environment for automl inferencing (part of demand forecasting).
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An environment for built-in component that can dynamically evaluate python expression for 1P request feature.
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CPU based environment for AML Data Labeling.
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GPU based environment for AML Data Labeling SAM Embedding Generation.
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Environment configuration for AzureML-Designer.
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AzureML Designer CV image
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AzureML Designer CV Transform image
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AzureML Designer IO image
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AzureML Designer PyTorch image
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AzureML Designer PyTorch Train image
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AzureML Designer R image
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AzureML Designer Recommender image
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AzureML Designer Transform image
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AzureML Designer VowpalWabbit image
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System environment with docker tools including Oras, Trivy.
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Environment for evaluating models.
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Python environment for running promptflow-evals based evaluators.
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Environment used for deploying model to use DS-MII or vLLM for inference
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Environment used for deploying model using inference server
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general-langchain-app-deployment
AzureML general environment to deploy and serve a Langchain app.
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An environment for tasks such as regression, clustering, and classification with LightGBM. Contains the Azure ML SDK and additional python packages.
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An environment for standard Large Language Model Retrieval Augmented Generation embedding components.
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AzureML minimal/Ubuntu 22.04/Python 3.11 cpu environment.
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minimal-py312-cuda12.4-inference
AzureML minimal/Python 3.12 cuda12.4 environment.
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CPU based environment for pipelines (ML Designer).
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CPU based environment for pipelines (ML Designer) minimal version.
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AzureML MLflow/Ubuntu 22.04/Python 3.12 cpu environment.
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AzureML MLflow/Ubuntu 22.04/Python 3.12 cpu environment.
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Environment for evaluating mlflow models.
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Environment used by Model Management components
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Environment containing Azure SDK for Python v2
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AzureML Responsible AI environment.
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An environment for tasks such as regression, clustering, and classification with Scikit-learn. Contains the Azure ML SDK and additional python packages.
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An environment for tasks such as regression, clustering, and classification with Scikit-learn. Contains the Azure ML SDK and additional python packages.
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An environment for tasks such as regression, clustering, and classification with Scikit-learn. Contains the Azure ML SDK and additional python packages.
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An environment for deep learning with Tensorflow containing the Azure ML SDK and additional python packages.
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An environment for deep learning with Tensorflow containing the Azure ML SDK and additional python packages.