Where Hardware Meets The Cloud: Arraying High-End Server Platforms

Grazed from CloudTweaks. Author: John Omwamba.

The web has brought out hardware machinery spot-on to cloud-based applications. Some of these servers are so scalable in magnitude, mindboggling in performance and high-end in gigabytes capacity, that they even sound a little alien. Suddenly they are here and those who only thought of them as data processors without a name can now identify with them, courtesy of cloud computing platforms. Intel, through its Tyan partners, is an example of companies that have enabled this to happen through its cutting-edge processing units. These can be discussed under the following headings.

GPU equipment

The Graphics Processing Unit is one of the biggest server products. It allows users to combine the three-dimensional and high-end qualities of videos and graphical interfaces with the core processing power of the Central Processing Unit (CPU). The result is a great chain of reactions. The server becomes at once fast for remote clients to remit and retrieve encrypted data across the cloud infrastructure. It also comes up with a modular system that helps to optimize capacity by users and thus reduce costs. Furthermore, its scalability is beyond question quite high, meaning virtual businesses that start small can expand within the server environment without any need to move to new hardware. Finally, the particular Tyan-Intel combination comes with a double-edge capacity that stores data, doubly, for a rainy day…

HPC hardware

High Processing Computing is essential in this age because it brings together open source formats for tapping data across infrastructural frameworks for the scientific community. There is nothing to prevent virtualization in a server that sometimes comes with features that are operational in any Operating System. It can best apply to the cloud, particularly the Intel one, for deployment in the Platform as a Service (PaaS) model. It can support experimenting with new applications in order to process mind-boggling scientific data in all server settings. This is particularly relevant to the current times when research on big data is going on to show how it can affect every practical aspect of living. It can, for example, help resolve traffic issues, increase yields in farms and boost productivity in industries. It is these fast processors, for science, that are necessary to make this a reality…

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