all AI news
Optimizing Instance Type Selection for AI Development in Cloud Spot Markets
Towards Data Science - Medium towardsdatascience.com
Instance Selection for Deep Learning — Part 2
Photo by Mike Enerio on UnsplashThis post was written in collaboration with Tomer Berkovich, Yitzhak Levi, and Max Rabin.
Appropriate instance selection for machine learning (ML) workloads is an important decision with potentially significant implications on the speed and cost of development. In a previous post we expanded on this process, proposed a metric for making this important decision, and highlighted some of the many factors you should …
ai ai development cloud collaboration cost decision deep learning development ec2 instance machine machine learning markets max part sagemaker speed spot type workloads