A data center includes a power distribution network having a power capacity, and a plurality of computers drawing power from the power distribution network. Each of the computers has a peak power draw. The power capacity is less than a maximum power draw defined by summing the peak power draw from e
A data center includes a power distribution network having a power capacity, and a plurality of computers drawing power from the power distribution network. Each of the computers has a peak power draw. The power capacity is less than a maximum power draw defined by summing the peak power draw from each of the plurality of computers.
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1. A data center, comprising: a power distribution network having a power capacity;a first deployment of a plurality of computers installed in the data center that draw power from the power distribution network, each of the computers having a peak power draw, wherein the power capacity is less than
1. A data center, comprising: a power distribution network having a power capacity;a first deployment of a plurality of computers installed in the data center that draw power from the power distribution network, each of the computers having a peak power draw, wherein the power capacity is less than a maximum power draw defined by summing the peak power draw from each of the plurality of computers, anda second deployment of a cluster of computers installed in the data center subsequent to, and electrically isolatable from, the first deployment of the plurality of computers and comprising between approximately 7% and approximately 46% of the first deployment of the plurality of computers, such that a maximum power draw defined by summing the peak power draw from each of the computers in the first and second deployments of computers is greater than the power capacity, and an operating power draw defined by summing an actual power draw from each of the computers in the first and second deployments of computers is less than the power capacity;wherein an amount of the computers in the cluster of computers of the second deployment installed in the data center subsequent to the first deployment of the plurality of computers is based, at least partially, on a workload type executing on the computers, andthe amount of the computers in the cluster of computers of the second deployment installed in the data center subsequent to the first deployment of the plurality of computers is further based, at least partially, on a percentage of operating time of the computers in the first and second deployments spent in a power-capping mode. 2. The data center of claim 1, wherein the peak power draw of a computer is a power draw under a maximum utilization of a central processing unit of the computer. 3. The data center of claim 1, wherein each of the plurality of computers runs an application, and the peak power draw of a computer is a maximum power draw exhibited by the computer while running the application. 4. The data center of claim 3, wherein different computers in the plurality of computers run different applications. 5. The data center of claim 1, wherein different computers in the plurality of computers have different nameplate peak power draws. 6. The data center of claim 1, wherein the plurality of computers includes at least 1000 computers. 7. The data center of claim 6, wherein the maximum power draw is more than 5% greater than the power capacity. 8. The data center of claim 1, wherein the plurality of computers includes at least 5000 computers. 9. A method of operating a data center, comprising: deploying a first plurality of computers to a data center;operating the first plurality of computers in the data center, each of the computers having a peak power draw;distributing power to the plurality of computers through a power distribution network having a power capacity, wherein the power capacity is less than a maximum power draw defined by summing the peak power draw from each of the plurality of computers;subsequently to deploying the first plurality of computers, deploying a second plurality of computers to the data center comprising between approximately 7% and approximately 46% of the first plurality of computers, such that a maximum power draw defined by summing the peak power draw from each of the computers in the first and second plurality of computers is greater than the power capacity, and an operating power draw defined by summing an actual power draw from each of the computers in the first and second plurality of computers is less than the power capacity, the first plurality of computers being operable while the second plurality of computers is being deployed;prior to deploying the second plurality of computers to the data center, determining an amount of the computers in the cluster of computers of the second deployment installed in the data center subsequent to the first deployment of the plurality of computers is based, at least partially, on a workload type executing on the computers; andprior to deploying the deploying a second plurality of computers to the data center, determining the amount of the computers in the cluster of computers of the second deployment installed in the data center subsequent to the first deployment of the plurality of computers is further based, at least partially, on a percentage of operating time of the computers in the first and second deployments spent in a power-capping mode. 10. The method of claim 9, wherein the peak power draw of a computer is a power draw under a maximum utilization of a central processing unit of the computer. 11. The method of claim 9, wherein each of the plurality of computers runs an application, and the peak power draw of a computer is a maximum power draw exhibited by the computer while running the application. 12. The method of claim 11, wherein different computers in the plurality of computers run different applications. 13. The method of claim 9, wherein different computers in the plurality of computers have different peak power draws. 14. The method of claim 9, wherein the plurality of computers includes at least 1000 computers. 15. The method of claim 14, wherein the maximum power draw is more than 5% greater than the power capacity. 16. The method of claim 9, wherein the plurality of computers includes at least 5000 computers. 17. The method of claim 16, wherein the maximum power draw is more than 7% greater than the power capacity. 18. The method of claim 17, wherein the maximum power draw is about 40% greater than the power capacity. 19. The data center of claim 1, wherein a utilization of the processing unit of the computer is determined based at least in part on experimentally measured data that correlates the utilization with a platform-type of the computer and a type of an application executed with the computer. 20. The data center of claim 19, wherein the peak power draw of the computer is determined based on a linear regression of the utilization of the computer. 21. The data center of claim 1, wherein a utilization of the processing unit of the computer is determined based at least in part on a model that correlates the utilization with a platform-type of the computer and a type of an application executed with the computer. 22. The data center of claim 21, wherein the correlation of utilization with a platform-type of the computer and a type of an application executed with the computer comprises an interpolation of experimentally measured data that correlates a utilization of another computer in the plurality of computers with a platform-type of the other computer and a type of an application executed with the other computer. 23. The data center of claim 1, wherein the second deployment of the cluster of computers comprises between approximately 7% and approximately 16% of the first deployment of the plurality of computers. 24. The data center of claim 23, wherein the peak power draw is a peak actual power draw from the computer. 25. The data center of claim 1, wherein the second deployment of the cluster of computers comprises between approximately 80% and approximately 130% of the first deployment of the plurality of computers. 26. The data center of claim 1, wherein the peak power draw from each of the computers is a nameplate power draw. 27. The data center of claim 1, wherein the second deployment of the cluster of computers installed in the data center subsequent to the first deployment of the plurality of computers comprises approximately 7% of the first deployment of the plurality of computers based on the workload type of the first and second deployment of computers being only a websearch application. 28. The data center of claim 1, wherein the second deployment of the cluster of computers installed in the data center subsequent to the first deployment of the plurality of computers comprises approximately 40% of the first deployment of the plurality of computers based on the workload type of the first and second deployment of computers being a plurality of different applications. 29. The data center of claim 1, wherein the second deployment of the cluster of computers installed in the data center subsequent to the first deployment of the plurality of computers comprises approximately 7% of the first deployment of the plurality of computers based on the workload type of the first and second deployment of computers being only a websearch application and a percentage of operating time of the computers in the first and second deployments spent in a power-capping mode being approximately 0%. 30. The data center of claim 1, wherein the second deployment of the cluster of computers installed in the data center subsequent to the first deployment of the plurality of computers comprises approximately 7% of the first deployment of the plurality of computers based on the workload type of the first and second deployment of computers being a plurality of different applications and a percentage of operating time of the computers in the first and second deployments spent in a power-capping mode being approximately 2%. 31. The method of claim 9, wherein the peak power draw from each of the computers is a nameplate power draw. 32. The method of claim 9, further comprising: determining that the second deployment of the cluster of computers installed in the data center subsequent to the first deployment of the plurality of computers comprises approximately 7% of the first deployment of the plurality of computers based on the workload type of the first and second deployment of computers being only a websearch application. 33. The method of claim 9, further comprising: determining that the second deployment of the cluster of computers installed in the data center subsequent to the first deployment of the plurality of computers comprises approximately 40% of the first deployment of the plurality of computers based on the workload type of the first and second deployment of computers being a plurality of different applications. 34. The method of claim 9, further comprising: determining that the second deployment of the cluster of computers installed in the data center subsequent to the first deployment of the plurality of computers comprises approximately 7% of the first deployment of the plurality of computers based on the workload type of the first and second deployment of computers being only a websearch application and a percentage of operating time of the computers in the first and second deployments spent in a power-capping mode being approximately 0%. 35. The method of claim 9, further comprising: determining that the second deployment of the cluster of computers installed in the data center subsequent to the first deployment of the plurality of computers comprises approximately 7% of the first deployment of the plurality of computers based on the workload type of the first and second deployment of computers being a plurality of different applications and a percentage of operating time of the computers in the first and second deployments spent in a power-capping mode being approximately 2%.
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