Welcome to the fifth and final part of this series on choosing storage for your high-performance computing (HPC) solution. In the previous blog posts, I talked about speed, reliability, simplicity, and scalability. In this post, I will cover a key consideration upon which many business decisions are made: cost.
By nature, HPC environments are complex and require some of the highest-performing hardware available on the market today. In some cases, like large research laboratories, the HPC environment is constructed with highly customized systems. Depending on the number of nodes and the speed of the processors, deploying an HPC solution can cost anywhere from $10,000 for an entry-level system to $600 million (or more) for the fastest supercomputer.
However, when considering the cost of an HPC solution, the initial investment in hardware and software is just the beginning. To more accurately assess cost, you need to look at the total cost of ownership (TCO) for the solution. That means that in addition to the deployment costs, you also need to consider the costs of operating the solution once it is deployed, including the cost of:
Julie Fagan has a long career in high-tech solutions marketing. She loves working at NetApp where she gets to focus on bringing the best video surveillance and high performance computing storage solutions to the world along with her awesome co-workers.
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