Jan. 25, 2024, 2:15 p.m. | /u/Ok_Post_149

Machine Learning www.reddit.com

Currently, a few weeks away from releasing an open-source tool that makes parallel computation at a massive scale extremely easy.

When I release it I want to have a handful of useful tutorials. I'm wondering what embarrassingly parallel use cases you think I should create tutorials for? If you could run 25k parallel workers without any config needed what jobs would you be running?

cases communications computation easy machinelearning massive node release scale think tool tutorials use cases workloads

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Consultant - Artificial Intelligence & Data (Google Cloud Data Engineer) - MY / TH

@ Deloitte | Kuala Lumpur, MY