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Managing Research Needs at the University of Michigan using Kubernetes w/ Bob Killen - #344

Managing Research Needs at the University of Michigan using Kubernetes w/ Bob Killen - #344

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


Managing Research Needs at the University of Michigan using Kubernetes w/ Bob Killen - #344

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
25 minutes
Released:
Feb 3, 2020
Format:
Podcast episode

Description

Today we’re joined by Bob Killen, Research Cloud Administrator at the University of Michigan. In our conversation, we discuss: How his group is deploying Kubernetes at UM. The user experience of his broad user base, including those using KubeFlow environments. How users are taking advantage of distributed computing. Should ML/AI focused Kubernetes users should fear that the larger non-ML/AI user base will negatively impact their feature needs? Where do the largest gaps currently exist in trying to support ML/AI users’ workloads? Where Bob sees things going from a user perspective, and what are the things those users are asking about most?  The complete show notes for this episode can be found at twimlai.com/talk/344.
Released:
Feb 3, 2020
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.