Seldon Core

Seldon Core is an open-source MLOps platform that assists users to deploy and scale their machine learning models. It runs on Kubernetes and supports an extensive array of open source products in the areas of machine learning, Kubernetes, reporting, etc. More than 2M users have downloaded the suite. 

The primary focus of Seldon Core is deployment. And it works with various frameworks and libraries like PyTorch, TensorFlow, and scikit-learn. In order to use the product, the machine learning models must be containerized (Dockerized). This can be done with tools like Source-to-Image that creates an image out of the source code. 

Project Background

  • Tool: Seldon Core
  • Author:
  • Initial Release: January 2018
  • Type: MLOps Platform
  • License: Apache-2.0 
  • Supports: Multiple Kubernetes and machine learning open source products
  • Github: seldon-core
  • Runs On: Cloud and on-prem
  • Hardware: Supports NVIDIA GPUs
  • Twitter: seldon_io

3rd Party Support

  • Kubeflow
  • Argo
  • SkLearn
  • TensorFlow
  • SageMaker
  • MLFlow
  • PyTorch
  • H2O
  • NVIDIA TensorRT Server
  • TensorFlow Serving
  • Intel nGraph
  • Intel OpenVINO
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