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Scaling Model Training with Kubernetes at Stripe with Kelley Rivoire - TWIML Talk #272

Scaling Model Training with Kubernetes at Stripe with Kelley Rivoire - TWIML Talk #272

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


Scaling Model Training with Kubernetes at Stripe with Kelley Rivoire - TWIML Talk #272

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

ratings:
Length:
42 minutes
Released:
Jun 6, 2019
Format:
Podcast episode

Description

Today we’re joined by Kelley Rivoire, engineering manager working on machine learning infrastructure at Stripe. Kelley and I caught up at a recent Strata Data conference to discuss: • Her talk "Scaling model training: From flexible training APIs to resource management with Kubernetes." • Stripe’s machine learning infrastructure journey, including their start from a production focus. • Internal tools used at Stripe, including Railyard, an API built to manage model training at scale & more! The complete show notes can be found at twimlai.com/talk/272. Visit twimlcon.com to learn more about the TWIMLcon: AI Platforms conference! The first 10 listeners who register get their ticket for 75% off using the discount code TWIMLFIRST! Follow along with the entire AI Platforms Vol 2 series at twimlai.com/aiplatforms2. Thanks to SigOpt for their continued support of the podcast, and their sponsorship of this episode! Check out their machine learning experimentation and optimization suite, and get a free trial at twimlai.com/sigopt.
Released:
Jun 6, 2019
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.