Price performance in a data center is the comparison of the cost of resources, computing power, storage, and other services, and the quality of service they deliver. From the data center customer standpoint, a data center with excellent price performance, can offer high quality service and performance results at a lower cost to cloud users than a data center with poor price performance metrics.
Since racks house servers, networking gear, and power delivery equipment, there is an overhead cost to adding racks to a data center. By reducing the number of racks needed to support a workload, Cloud Native Processors reduce this overhead—as well as overhead required for cooling—thereby magnifying their impact on data center efficiency by lowering power consumption. More significantly, delivering more performance per rack allows data center operators to reclaim part of their floorspace for future expansion.
_“When looking at performance and power across the datacenter – especially for a workload that has consistent performance like cloud native – this rack level measurement is the best measurement. It allows a datacenter architect to quickly extrapolate compute capacity relative to needs at scale. It also enables a very quick and accurate measure of power consumption and power efficiency.” _