Abhinav Joshi & Tushar Katarki, Red Hat | KubeCon + CloudNativeCon Europe 2020 – Virtual
summary
OpenShift powers production AI at scale using containers and Kubernetes with customers running OpenShift + NVIDIA DGX clusters to run thousands of simulations and analyze millions of data points. Use cases include Royal Bank of Canada (millions of clients), HCA Healthcare’s sepsis prediction platform tied to 270,000 US deaths per year, and BMW’s test‑fleet analytics with DXC. The stack centers on Kubeflow 1.1, data pipelining via Open Data Hub, and lifecycle automation through OperatorHub.io and certified Marketplace operators.
AI-written summary · about
chapters (7)
- 0:00Introduction
- 1:40Challenges in AI ML
- 5:35Connecting the Dots
- 12:05Customers
- 16:45COVID19 Impact
- 18:12Open Source Ecosystem
- 25:49Customer Choice
related talks
47mData Science in the Open Cloud Exchange model
25mComputacenter: NVIDIA AI Enterprise on Red Hat OpenShift & Netapp | hub.berlin 2022
20mMatt Hicks, Red Hat | Red Hat Summit 2020
41mOpenShift: a Kubernetes Story in an Enterprise Environment
22mAshesh Badani, Red Hat | Red Hat Summit 2020
35mCase Study: AI-as-a-Service on Kubernetes at Scale and In Production
26mCloud kubernetes Native Applications
30mContainer workflows for data science and ML