AI Service
Easy and simple ML/DL model building and learning
Cloud-friendly environment for ML model development
Manage your machine learning models and data on Kubernetes-based MLOps platform. You can automate the entire ML pipeline from model development, training to deployment, so it becomes easier to create, configure, or re-use ML models.
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Benefits
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Cloud Native MLOps Environments
Supports Kubeflow, an open source MLOps platform built on Kubernetes. On Kubeflow, you can conveniently manage models and data or use various open source tools on a unified Kubeflow-native MLOps environment.
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Development Productivity Enhancement in Standardized Environment
Various machine learning frameworks from Tensorflow, Pytorch, Scikit-learn to Keras are supported on Kubeflow. Repetitive tasks across ML pipeline from model development, learning to deployment can be automated end-to-end, making it easier to create, configure, or re-use models.
Catalogs
Explore Samsung SDS cloud products
Kubeflow
Kubernetes-based Machine Learning Platform
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