Amog Kamsetty
Amog is a Senior Software Engineer at Anyscale where works on the Ray open source project building solutions for distributed machine learning workloads including distributed model training and offline inference.
Sessions
07-14
11:25
30min
Modern compute stack for scaling large AI/ML workloads
Jules S. Damji, Amog Kamsetty
Existing production machine learning systems often suffer from various problems that make them hard to use. For example, data scientists and ML practitioners often spend most of their time stitching and managing bespoke distributed systems to build end-to-end ML applications and push models to production.
To address this, the Ray community has built Ray AI Runtime (Ray AIR), an open-source toolkit for building large-scale end-to-end ML applications.
Machine Learning, Data Science, and Ethics in AI
Zlotnik Ballroom