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Lee Thompson

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Multi-million user social networks, cloud hosting, Internet search and Big Data problems such as meteorology, complex physics and business informatics, all share one basic need - they each require incredibly large, complex and varied computer platforms. However, a common requirement across these systems is to "optimize the unit cost of computing." At this degree of hyperscale computing, the network, system, software, facility, and maintenance all add up to 10s or 100s of millions of dollars per project, and optimizations of a single element or the coordination of multiple elements can save the business millions. A good example of this holistic approach is Facebook's OpenCompute project, which saved the company 38% in efficiency and costs 24% less in build expense. Similar to the automobile industry, where the racing technology from Indy, F1, and NASCAR end up in pa... (more)