November 13–15, 2018 - Shanghai, China
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Tuesday, November 13 • 17:05 - 17:10
Kubernetes Love Machine Learning, Even on Private Cloud - Hui Luo, VMware

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Kubernetes has established as a good platform for machine learning workloads by extending support of accelerators like GPU, all major public cloud provider are offering GPU enabled Kubernetes services, but public cloud is not the only option for users. There are ongoing efforts from the community to make running machine learning workloads with Kubernetes on private cloud as easy as on public cloud.

This talk is going to cover 3 major challenges that facing private cloud when enable GPU on Kubernetes. I will also demonstrate and discuss some of the projects that help to solve those challenges:
1) Private cloud usually needs to support a wider range of GPU types, in some case, to support heterogeneous GPU in one cluster
2) To support complex hardware topology like RDMA, NVLINK
3) GPU resource contention is usually very high when limited GPU resource shared by multiple teams

avatar for Hui Luo

Hui Luo

Software Engineer, VMware
Software engineer at VMware cloud native application team.Active contributor to upstream kubernetes in area like device plugin.Contributor at vSphere cloud provider, cluster api vSphere.罗晖是来自VMware云原生应用组的软件工程师,他积极参与和贡献给kubernetes社区,并且是vSphere... Read More →

Tuesday November 13, 2018 17:05 - 17:10
2F Room 3