Tejas Chopra

As Machine Learning continues to forge its way into diverse industries and applications, optimizing computational resources, particularly memory, has become a critical aspect of effective model deployment. This session, “”Memory Optimizations for Machine Learning,”” aims to offer an exhaustive look into the specific memory requirements in Machine Learning tasks, including Large Language Models (LLMs), and the cutting-edge strategies to minimize memory consumption efficiently.

Netflix Studios produces hundreds of petabytes of media and billions of media assets. These assets are managed, created, edited, encoded, and rendered by artists on a multitude of globally distributed workstation environments.