Feb. 15, 2024, 6:30 p.m. | Chaim Rand

Towards Data Science - Medium towardsdatascience.com

Optimizing the use of limited AI training accelerators

Photo by Roman Derrick Okello on Unsplash

In the ever-evolving landscape of AI development, nothing rings truer than the old saying (attributed to Heraclitus), “the only constant in life is change”. In the case of AI, it seems that change is indeed constant, but the pace of change is forever increasing. Staying relevant in these unique and exciting times amounts to an unprecedented test of the capacity of AI teams to consistently …

ai development ai resources ai training case change deep learning development gpu indeed kubernetes landscape life mlops nothing orchestration resources training utility

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Scientist

@ Publicis Groupe | New York City, United States

Bigdata Cloud Developer - Spark - Assistant Manager

@ State Street | Hyderabad, India