AI Engineering Podcast cover image

ML Infrastructure Without The Ops: Simplifying The ML Developer Experience With Runhouse

AI Engineering Podcast

CHAPTER

Navigating ML Infrastructure Challenges

This chapter explores the disparities between standardized data workflows and the chaotic environments faced by machine learning practitioners. It discusses innovative solutions like Runhouse that aim to enhance flexibility and scalability in ML infrastructures, facilitating seamless integration with existing tools. The chapter emphasizes the critical need for collaboration between ML engineers and infrastructure teams to improve operational efficiency and reduce bottlenecks in project development.

00:00
Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner