HPE Ezmeral ML OPS
HPE Ezmeral ML Ops offers a suite of pre-packaged tools designed to streamline machine learning workflows throughout the entire lifecycle, from pilot to production. Users can quickly create environments tailored to their preferred data science tools, experiment with various machine learning frameworks, and securely access enterprise data sources across on-premises or cloud storage. With self-service capabilities, it supports development, testing, and production workloads, while enabling source control through integrated tools like GitHub. Additionally, it features a model registry that stores multiple versions of models along with their metadata for various runtime engines.
Top HPE Ezmeral ML OPS Alternatives
Hugging Face
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Azure Notebooks
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Protege
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Kubeflow
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Oracle Data Science
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MLflow
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AWS Elastic Fabric Adapter (EFA)
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Altair Knowledge Works
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H2O.ai
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Top HPE Ezmeral ML OPS Alternatives
- Hugging Face
- Azure Notebooks
- Protege
- Kubeflow
- Oracle Data Science
- MLflow
- AWS Elastic Fabric Adapter (EFA)
- Splunk Machine Learning Toolkit
- Amazon SageMaker Model Training
- Altair Knowledge Works
- Amazon SageMaker Model Monitor
- H2O.ai
- Amazon SageMaker Model Deployment
- neptune.ai
- Amazon SageMaker Model Building
