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How Cost Efficient is HPC in the Cloud?

A Cost Model for In-House Versus In-Cloud Technical Computing

Engineers and scientists today have three major options to apply technical computing resources to their design and development work: their workstation, an in-house server, or compute power in the cloud. In this article, benefits and challenges for these three options are discussed, and a detailed cost model for three different scenarios is presented: buying an in-house server, or adding extra compute power from the cloud, on demand, or using a hybrid model consisting of a smaller in-house system (covering the average daily load), and using cloud cycles for peak demands.

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