Shypd.aiThe largest open index of AI toolsSeldon Core is an MLOps framework for packaging, deploying, monitoring, and managing thousands of production machine learning models. It enables standardized deployment across various model types on Kubernetes.
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Seldon Core 2 is an MLOps and LLMOps framework designed for deploying, managing, and scaling AI systems in Kubernetes. It supports everything from singular models to complex modular and data-centric applications. With Seldon Core, users can deploy models in a standardized way across a wide range of model types, whether on-premise or in any cloud environment, ensuring production-readiness out of the box. Key features include pipelines for composable AI applications with Kafka for real-time data streaming, autoscaling based on native or custom logic, multi-model serving to optimize infrastructure costs, and experimental features like A/B tests and shadow deployments. It also allows for custom components to integrate logic, drift detection, and LLMs.
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