Helping Mechanical Engineers Win with Cloud

Squashing Total Cost Rumors Of In-House Vs. Cloud Computing

                                                          UberCloud Whitepaper, January 10, 2021

In this whitepaper, we presented guidelines on how to compute the total cost of the in-house computing environment and compare this to the equivalent cloud solution. We illustrated this process with concrete calculations which we have done recently for one of our concrete manufacturing customer use cases. To quote Gigaom, “Total Cost of Ownership, or TCO, is a formula that assesses direct and indirect costs and benefits related to the purchase of any IT component. The goal is a final figure that will reflect the true purchase price, all things considered”. See the following chart:



Based on our TCO calculations, we have developed a TCO calculation service for enterprises moving engineering simulation workloads to HPC cloud and wanting to perform a detailed TCO cost/benefit analysis including in-house vs cloud computing resources.

This cost/benefit analysis starts with looking at the manufacturer’s existing resources and their total cost, and comparing this to an equivalent compute environment in the cloud. Next step is to look at the manufacturer’s future requirements, such as next computing demands and infrastructure, increasing number of engineers and their tasks, applications, software licenses, usage requirements in 1, 2, and 3 years, etc.

According to these requirements, UberCloud will provide a cost/benefit analysis for this and the following years. The result of this study will be a detailed cost/benefit analysis for the different scenarios, for in-house computing resources, for an equivalent cloud hosting solution, for cloud bursting on demand, and for the most cost-effective combination of these three scenarios. Please ask UberCloud for more details at https://www.TheUberCloud.com/help/. 

You can download the TCO whitepaper by registering to the right.


Download TCO Whitepaper here: