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Machine learning operations (MLOps)
MLOps is a practice that streamlines the development and deployment of ML models and AI workflows
OVERVIEW
- Share and reuse AI models and pipelines in the central repository with Azure Machine Learning registries.
- Integrate continuous delivery to automate training, prompt tuning, and deployment workflows.
- Streamline prompt engineering tasks and orchestrate generative AI models with Azure Machine Learning prompt flow.
- Create scalable, reproducible pipelines with predefined experiments, version control, and data monitoring.
- Continuously monitor and evaluate model accuracy, data drift, and responsible AI metrics in production.
BENEFITS
Scale and operationalize models for seamless deployment and management.
Quickly build AI workflows
Build pipelines and model workflows to design, deploy, and manage consistent model delivery.
Easily deploy models anywhere
Use managed endpoints to deploy models and workflows across accessible CPU and GPU machines.
Efficiently automate the AI lifecycle
Automate ML and AI workflows using built-in interoperability with Azure DevOps and GitHub Actions.
Achieve governance across assets
Track versions and data lineage. Set quotas and policies for governance, privacy, and compliance.
Centralize tracking
Track run metrics and store artifacts for your experiments using a consistent set of tools with MLflow.
Share assets across teams
Use registries to collaborate across workspaces and centralize AI assets across your organization.
Microsoft was recognized as a Leader in the IDC MarketScape Worldwide Machine Learning Operations (MLOps) Platforms 2022 Vendor Assessment.
CUSTOMER STORIES
RELATED PRODUCTS
Incorporate MLOps with Azure products, solutions, platforms, and capabilities.
RESOURCES
Access the Azure Machine Learning studio for low-code and no-code project authoring and asset management.
NEXT STEPS
Choose the Azure account that’s right for you
Pay as you go or try Azure free for up to 30 days.
Azure Solutions
Azure cloud solutions
Solve your business problems with proven combinations of Azure cloud services, as well as sample architectures and documentation.
Business Solution Hub
Find the right Microsoft Cloud solution
Browse the Microsoft Business Solutions Hub to find the products and solutions that can help your organization reach its goals.