Back To Schedule
Thursday, November 21 • 4:25pm - 5:00pm
GPU as a Service Over K8s: Drive Productivity and Increase Utilization - Yaron Haviv, Iguazio

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
Building machine learning applications is hard. Surprisingly enough, it’s not the data science that’s hard, but all the operations around it. GPUs accelerate performance, but pose challenges such as GPU resource sharing, software dependencies and data bottlenecks. In a cloud-native era, data scientists are looking for a GPU-powered machine learning PaaS like AWS Sagemaker or Google AI, only based on open source technologies, without vendor lock-ins and/or on-premises. Yaron Haviv will demonstrate how to integrate Kubernetes, KubeFlow, high-speed data layers and GPU-powered servers to build self-service machine learning platforms. He will show how GPU resources can be pooled to maximize utilization and increase scalability, how to use RAPIDS for 10x faster data processing and how to integrate GPUs with the rest of the machine learning stack.

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 →

Thursday November 21, 2019 4:25pm - 5:00pm PST
Room 17AB - San Diego Convention Center Mezzanine Level
  Machine Learning + Data