Seldon Core
An MLOps framework to package, deploy, monitor, and manage thousands of production machine learning models on Kubernetes.
What is Seldon Core?
Seldon Core 2 is an MLOps and LLMOps framework for deploying, managing, and scaling AI systems in Kubernetes. It enables organizations to package, deploy, monitor, and manage thousands of production machine learning models, from singular models to modular and data-centric applications, in a standardized way across on-premises or cloud environments.
ML engineers, data scientists, and DevOps teams who need to deploy and manage production machine learning models at scale on Kubernetes.
Developers choose Seldon Core 2 for its production-ready features like multi-model serving, autoscaling, and experiment management, which reduce infrastructure costs and simplify the deployment of complex AI pipelines in Kubernetes.
Overview
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Use Cases
Best For
- Deploying and managing thousands of production ML models on Kubernetes
- Building modular, data-centric AI applications with real-time streaming
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