all AI news
Smart Distributed Training on Amazon SageMaker with SMD: Part 1
Sept. 21, 2022, 1:36 p.m. | Chaim Rand
Towards Data Science - Medium towardsdatascience.com
How Choosing a Distribution Algorithm that is Aligned with the Capabilities of your Training Instances can Increase Throughput and Reduce Cost
Photo by Janik Fischer on UnsplashA critical step in optimizing the runtime performance of your training jobs is tuning your algorithms so as to maximize the utilization of the resources in your training environment. This requires a thorough understanding of your resources, (the number and types of computation devices, the available memory, communication bandwidths, etc.) as well as …
amazon amazon sagemaker deep learning distributed distributed-training machine learning optimization part sagemaker smart training
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
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
Technology Consultant Master Data Management (w/m/d)
@ SAP | Walldorf, DE, 69190
Research Engineer, Computer Vision, Google Research
@ Google | Nairobi, Kenya