Seldon
Open SourceFundedOpen-source platform for scalable machine learning deployment and monitoring
About Seldon
Seldon provides an open-source machine learning deployment platform designed to help enterprises operationalize, scale, and monitor ML models in production environments. It enables data science and engineering teams to deploy models as microservices on Kubernetes, facilitating continuous delivery and management of machine learning workflows. The platform supports multiple ML frameworks and languages, ensuring flexibility and integration with existing data infrastructure.
Targeted primarily at large enterprises with mature AI/ML initiatives, Seldon addresses the challenges of model deployment, governance, and monitoring at scale. Its capabilities include automated model serving, A/B testing, canary deployments, and real-time monitoring, which help organizations reduce time-to-market and improve model reliability. By leveraging Kubernetes and containerization, Seldon ensures portability and scalability across cloud and on-premises environments, enhancing operational efficiency and control over AI assets.
Key Capabilities
- ✓Kubernetes-native model deployment and serving
- ✓Multi-framework and language support
- ✓Real-time model monitoring and alerting
- ✓Advanced rollout strategies like canary and A/B testing
- ✓Integration with CI/CD pipelines for ML workflows
Integrations
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