AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
2min chapter
Jordan Edwards: ML Engineering and DevOps on AzureML
Machine Learning Street Talk (MLST)
Docker and Containers for Machine Learning?
With docker and containers, you can actually design a heterogeneous compute pipe line. That's where i think docker is particularly important and useful for machine learning. I don't think there's ever going to be like an ober framework that has every operator a data would ever want to use.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode