Live: Running the Numbers - A Cost Analysis in Favor of Machine Learning on IBM z
Project and Program:
Enterprise Data Center,
Integrating Innovative Technologies
Tags:
Proceedings,
SHARE Providence 2017,
2017
In this session, we'll examine the total cost of ownership for running machine learning and Apache Spark on IBM z, and compare that to the costs for a general server-based architecture. We'll consider different size implementations and evaluate how that can effect real costs. And we'll also look at some of the "costs" to business that accumulate due to increased latency and reduced user productivity.-Emily Farmer-IBM Corp.
Back to Proceedings File Library