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Monday, May 20 • 5:00pm - 5:20pm
Katib: A Distributed General AutoML Platform Based on Kubernetes

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Automatic Machine Learning (AutoML) is a powerful mechanism to design and tune models. We present Katib, a scalable Kubernetes-native general AutoML platform that can support a range of AutoML algorithms including both hyper-parameter tuning and neural architecture search. The system is divided into separate components, encapsulated as micro-services. Each micro-service operates within a Kubernetes pod and communicates with others via well-defined APIs, thus allowing flexible management and scalable deployment at a minimal cost. Together with a powerful user interface, Katib provides a universal platform for researchers as well as enterprises to try, compare and deploy their AutoML algorithms, on any Kubernetes platform.


Jinan Zhou

Cisco Systems

Andrey Velichkevich

Cisco Systems

Kirill Prosvirov

Cisco Systems

Anubhav Grag

Cisco Systems

Yuji Oshima

NTT Software Innovation Center

Debo Dutta

Cisco Systems

Monday May 20, 2019 5:00pm - 5:20pm PDT
Stevens Creek Room