Managing Research Needs at the University of Michigan using Kubernetes w/ Bob Killen - #344
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
00:00
Bridging AI Workloads and Kubernetes
This chapter delves into the challenges of supporting AI and ML workloads within Kubernetes environments, highlighting the need for better documentation and best practices. It discusses user insights on GPU management, specifically fractional GPU support, and the integration of Jupyter notebooks into workflows. The chapter concludes with a focus on collaborative efforts by research teams, including those from CERN, to enhance Kubernetes usability across various applications.
Transcript
Play full episode
