Want to view more sessions and keep the conversations going? Join us for KubeCon + CloudNativeCon Europe in Barcelona, May 20–23 (
https://bit.ly/2B2vhMl), in Shanghai, June 24–26 (
https://bit.ly/2JZcBjs), or in San Diego November 18–21 (
https://bit.ly/2K031wW) in 2019.
Benchmarking Machine Learning Workloads on Kubeflow - Xinyuan Huang, Cisco Systems, Inc. & Ce Gao, Caicloud
Benchmarking is an essential part in machine learning research and productization, that provides useful performance information from the perspectives of both models and systems. While Kubernetes and Kubeflow give us a great platform for ML workloads to run on, they do not automatically provide a straightforward way to perform benchmark tasks, especially for complex ML workloads based on distributed jobs. In this talk we present Kubebench, an open sourced benchmarking tool based on Kubeflow, that helps us better understand the performance signature of our ML workloads on Kubernetes through automated and consistent benchmarks. We also show how we can leverage other benchmarking efforts from academia and industry like MLPerf and Dawnbench.
To learn more click here: https://sched.co/FuJw
Join us for KubeCon + CloudNativeCon in Shanghai June 24 - 26, and San Diego November 18 - 21! Learn more at https://kubecon.io. The conference features presentations from developers and end users of Kubernetes, Prometheus, Envoy and all of the other CNCF-hosted projects.
Join us for KubeCon + CloudNativeCon in San Diego November 18 - 21. Learn more at https://bit.ly/2XTN3ho. The conference features presentations from developers and end users of Kubernetes, Prometheus, Envoy and all of the other CNCF-hosted projects.
Benchmarking Machine Learning Workloads on Kubeflow - Xinyuan Huang, Cisco Systems, Inc. & Ce Gao kube context | |
| 5 Likes | 5 Dislikes |
| 241 views views | 32.6K followers |
| Film & Animation | Upload TimePublished on 25 Nov 2018 |
Không có nhận xét nào:
Đăng nhận xét