Explore free and open-source MLOps tools for enhanced data privacy and control over your models and code.
KDnuggets 2:16 pm on May 30, 2024
Several platforms offer comprehensive solutions for managing machine learning models efficiently and transparently at scale: Seldon Core, MLRun, and open-source tools. They provide capabilities such as model deployment, monitoring, versioning, data processing, and real-time serving pipelines, catering to diverse production environments with scalability in mind.
- Seldon Core: Deploys ML models into microservices for transparent scaling.
- MLRun: Simplifies building, managing, and deploying machine learning applications with a unified framework.
- Open-source tools: Offer control over various aspects of the MLOps pipeline, albeit with potential challenges in management and maintenance.
- Data ingestion, storage, and versioning: These platforms handle data preparation, feature serving, batch processing, real-time pipelines, and monitoring efficiently.
- Management of projects, artifacts, and workflows: Facilitate centralized project asset management and collaborative work environments.
https://www.kdnuggets.com/5-best-end-to-end-open-source-mlops-tools
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