Overview
Seldon Core is an open-source MLOps platform designed to streamline the deployment, monitoring, and management of machine learning models and AI applications. Built on Kubernetes, it provides a standardized framework for deploying models from various frameworks (TensorFlow, PyTorch, scikit-learn) in production. Seldon offers features like multi-model serving, A/B testing, drift detection, and explainability to ensure models are reliable and compliant at scale. Core 2 standardizes complex AI deployments with Kubernetes-native pipelines, making GenAI and ML applications production-ready out-of-the-box. It supports real-time and batch predictions, integrates with monitoring tools, and allows for custom model serving logic. Seldon aims to avoid vendor lock-in by enabling deployment across any cloud or on-premise infrastructure. Modular architecture supports efficient resource utilization and cost reduction.