Seldon Core Insights

What is Seldon Core?

Seldon Core is an open-source platform for deploying machine learning models on Kubernetes. It provides a framework for managing and scaling models, handling traffic management, and implementing advanced deployment strategies like A/B testing and canary deployments. It is commonly used to productionize machine learning models for various use cases such as fraud detection, recommendation systems, and image recognition.

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What other technologies are related to Seldon Core?

Seldon Core Competitor Technologies

KServe

KServe is a platform for deploying and managing machine learning models on Kubernetes, similar to Seldon Core, making them direct competitors.

mentioned alongside Seldon Core in 16% (83) of relevant job posts

AWS Sagemaker

AWS SageMaker provides a suite of services for building, training, and deploying machine learning models. Its model deployment capabilities compete directly with Seldon Core.

mentioned alongside Seldon Core in 0% (71) of relevant job posts

Seldon Core Complementary Technologies

Kubeflow Pipelines

Kubeflow Pipelines is a component of Kubeflow for building and deploying ML workflows. It can be used in conjunction with Seldon Core to manage the entire ML lifecycle.

mentioned alongside Seldon Core in 15% (60) of relevant job posts

Feast

Feast is a feature store that can be used with Seldon Core to manage and serve features for machine learning models.

mentioned alongside Seldon Core in 12% (67) of relevant job posts

MLFlow

MLflow provides tools for tracking, managing, and deploying machine learning models. It complements Seldon Core by handling model registry and experiment tracking aspects.

mentioned alongside Seldon Core in 1% (251) of relevant job posts