Enterprise Machine Learning on K8s: Lessons Learned and the Road Ahead

Enterprise Machine Learning on K8s: Lessons Learned and the Road Ahead

Wednesday, February 6
4:00 PM - 4:40 PM
Room 103

Kubernetes as a platform is being asked to support an ever increasing range of workloads, including machine learning and big data processing. These new workloads introduce challenges both for both end users and cluster administrators. Data scientists want the flexibility to run any workload and library they require, data engineers want to ensure the scalability and reliability of production workloads, and cluster administrators want to maintain governance and control over cluster resources. What’s needed is a machine learning platform on Kubernetes that seeks to balance these competing objectives. In this talk, we will share lessons learned from enterprise customers, and our vision of the road ahead for machine learning and AI on Kubernetes.

講演者

Joel Roland
Manager Sales Engineering, ANZ
Cloudera
Joel Roland is the Sales Engineering Manager for Cloudera Australia and New Zealand. His remit is to help translate customers’ requirements and use cases into technical solutions that run on Cloudera and ensuring the success of the platform. Joel has over 15 years experience working in IT, with over 10 years in Data & Analytics. Prior to joining Cloudera, he held various Data & Analytic roles in organisations such as CSC (DXC) and the University of Wollongong.