Seldon Core

Seldon Core is an open-source machine learning deployment and orchestration platform designed to deploy, manage, monitor, and scale machine learning models on Kubernetes. It provides a Kubernetes-native framework for serving models as production-ready inference services and building scalable machine learning workflows.

Features of Seldon Core:

• Deploys machine learning models as scalable inference services on Kubernetes.
• Provides Kubernetes-native model serving and orchestration capabilities.
• Supports advanced inference graphs for creating multi-step machine learning workflows.
• Enables monitoring and operational visibility for deployed machine learning models.
• Provides APIs for integrating model inference services with applications.
• Supports scalable and production-ready machine learning deployments.
• Integrates with cloud-native DevOps and MLOps workflows.
• Provides an open-source architecture suitable for customization and enterprise machine learning environments.

Seldon Core usage:

$ sudo su
$ apt update
$ cd /opt/seldon
$ cd seldon-core-1.19.0

$ Verify:
# kubectl get pods -n seldon-system
# kubectl get crd | grep seldon
# helm list -n seldon-system

Disclaimer: Seldon Core is an open-source software project developed and maintained by its respective contributors. Users are responsible for configuring and using the software in accordance with their organizational requirements, applicable licenses, and relevant laws and policies.