Speaker: Jules Damji

He / him / his

Lead Developer Advocate @Anyscale, MLflow Contributor, and Co-Author of "Learning Spark"

Jules S. Damji is a lead developer advocate at Anyscale Inc, an MLflow contributor, and co-author of Learning Spark, 2nd Edition. He is a hands-on developer with over 25 years of experience and has worked at leading companies, such as Sun Microsystems, Netscape, @Home, Opsware/LoudCloud, VeriSign, ProQuest, Hortonworks, and Databricks, building large-scale distributed systems. He holds a B.Sc and M.Sc in computer science (from Oregon State University and Cal State, Chico respectively), and an MA in political advocacy and communication (from Johns Hopkins University).

Find Jules Damji at:


Modern Compute Stack for Scaling Large AI/ML/LLM Workloads

Advanced machine learning (ML)  models, particularly large language models (LLMs), require scaling beyond a single machine.

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Tuesday Oct 3 / 01:35PM PDT ( 50 minutes )


Ballroom A


Distributed Computing Scaling AI/ML/LLM Workloads


Slides are not available