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Thursday, May 23 • 14:50 - 15:25
Economics and Best Practices of Running AI/ML Workloads on Kubernetes - Maulin Patel, Google & Yaron Haviv, Iguazio

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In this session, we will discuss how Kubernetes driven AI/ML building blocks are making AI/ML simple, fast and efficient for data scientists, data engineers, devops engineers and everyday users. We will explore how Kubernetes, Kubeflow and Kubeflow pipeline can help to mitigate complexities and challenges associated with AI/ML. We will demonstrate the use of Accelerators like GPUs and TPU in Kubernetes Engine to make serving compute intensive ML/AI workloads easy, fast and scalable. We will present the real world examples of commonly used AI/ML applications, discuss their performance and share best practices. We will also present how the economics are different when it comes to ML workloads and highlight the unique values Kubernetes brings to enterprises.
Speakers
avatar for Yaron Haviv

Yaron Haviv

CTO, Iguazio
Yaron Haviv is a serial entrepreneur who has deep technological experience in the fields of ML, big data, cloud, storage and networking. Prior to Iguazio, Yaron was the Vice President of Datacenter Solutions at Mellanox, where he led technology innovation, software development and... Read More →
avatar for Maulin Patel

Maulin Patel

Group Product Manager, Google Kubernetes Engine, Google
Maulin Patel is a Group Product Manager at Google. Prior to his current role, he was a GM at GE and a Director at Philips Research. Maulin has a proven track record of innovations in IoT, AI/ML, cloud and smart buildings. He has experience in executing DoD, DoE, NSF and privately... Read More →

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Thursday May 23, 2019 14:50 - 15:25 CEST
Hall 8.0 C1
  Machine Learning + Data