Running Machine Learning Workloads On Any Cloud

Zongheng Yang, is a researcher in the Sky Computing Lab at UC Berkeley, a multi-year research initiative that utilizes distributed systems, programming languages, security and machine learning to separate the services that a company requires from the choice of a specific cloud. He provides a detailed overview and update on SkyPilot, a groundbreaking intercloud broker that views the cloud ecosystem as a unified and integrated entity rather than a collection of disparate, largely incompatible clouds. SkyPilot enables users to run Machine Learning and Data Science batch jobs on any cloud, realize substantial cost savings, access the best hardware across clouds, and enjoy higher resource availability.

Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/

Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.

Detailed show notes can be found on The Data Exchange web site.