MLOps and tracking experiments with Allegro AI

Practical AI: Machine Learning, Data Science

Episode | Podcast

Date: Mon, 20 Jul 2020 15:40:00 +0000

DevOps for deep learning is well… different. You need to track both data and code, and you need to run multiple different versions of your code for long periods of time on accelerated hardware. Allegro AI is helping data scientists manage these workflows with their open source MLOps solution called Trains. Nir Bar-Lev, Allegro’s CEO, joins us to discuss their approach to MLOps and how to make deep learning development more robust.