Stream-Based Model Serving with Cloudbend and Seldon

Boris Lublinsky, Principal Architect at Lightbend has written a fantastic post on their blog discussing the role of model serving in building a real-time streaming application. He also reveals how to implement and deploy machine learning (ML) models with open-source frameworks Cloudflow and Seldon. “Today’s customers expect to receive information in real time. In order…

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Seldon and Kubeflow 1.0

Here at Seldon, we’re immensely proud of the work we’re been doing on the KFServing project alongside other contributors from Google, Microsoft, Bloomberg and IBM — the official Kubeflow 1.0 release is a milestone worth celebrating. Kubeflow is Google’s solution for deploying machine learning stacks on Kubernetes and was built to address two major issues…

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Orchestrating Machine Learning Models on Kubernetes* with Seldon*, nGraph Library and Intel® Distribution of OpenVINO™Toolkit

This post was originally published by Intel Corporation on November 19, 2018. You can now run Intel’s machine learning model optimization tools using nGraph library and the Intel® Distribution of OpenVINO™ toolkit on Seldon Core*. In this article we discuss the challenges involved for organizations that want to put machine learning models into production and…

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