May 31, 2022, 6:41 p.m. | Chaim Rand

Towards Data Science - Medium towardsdatascience.com

A Simple Solution for Increasing Resource Utilization and Accelerating Training

Photo by Anders Norrback Bornholm on Unsplash

One of the measures of the health of a deep learning project is the degree to which it utilizes the training resources that it was allocated. Whether you are training in the cloud or on your own private infrastructure, training resources cost money, and any block of time in which they are left idle represents a potential opportunity to increase training throughput and …

amazon ec2 data data preprocessing deep learning grpc ml performance pytorch

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

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne