Data Center Efficiency: Data for the Efficiency claims and Carbon equivalency analysis in the roadmap video (05/18/2023) is based on a composite Web Service study used in the Ampere Efficiency campaign and based on single node performance comparisons measured and published by Ampere Computing. Performance data and the test configurations used to gather the data for each application is published on our web site. The following table shows the composition of a modeled web service based on performance data to determine scale-out behavior through projections and calculations at both Rack and Data center level. Total data center power consumption is based this Web Services study and scaled to 100,000 ft2 data center. Total power difference is then used to complete the Carbon equivalencies. The primary applications used in this analysis are:
|Web Tier||Application||Composition Weight||Comparative Performance Info Reference|
|Front End||NGINX||39%||For Altra Max M128-26|
|Caching Tier||Memcached||8%||For Altra Max M128-26|
|Key Value Store||Redis||39%||For Altra Max M128-30|
|Back End||MYSQL||14%||For Altra Max M128-30|
Data Center level analysis is calculated from the rack level analysis and scaled linearly to fit a medium sized data center specification based approximately on publicly available data for the Bluffdale NSA facility in Bluffdale, UT.(1) The data center modeled is 100k ft2, where 65% of the space is reserved for the server room built on an 8 tile pitch. The total power capacity is roughly 66MW based on a PUE assumption of 1.2. More information on data center rack pitch densities can be found through a variety of publicly available analysis(2)
Carbon equivalencies were calculated using the EPA equivalency calculator.(3)
VMs/Rack: The number of VMs per rack were calculated based on a 42U 16.5kW rack. The load applied is SpecRate Integer 2017 Estimated (SIR) for each system architecture compared. The SIR load total is relevant only to apply a load that exercises each server to a maximum power draw to calculate the number of servers possible within a rack budget of 16.5kW. For each architecture, the total number of servers in the rack is calculated based on single socket 1U servers. The total number of VMs in each server is based on physical core count for each processor summed to obtain the total number of VMs possible per rack. A VM is assumed to own all available threads present for each core. The raw data is shown in the table below:
|Architecture||Cores/Server||System Power/Server||Servers/Rack||Cores (VMs)/Rack|
|Intel SPR 8480||56||534 W||30||1680|
|AMD Genoa 9654||96||624 W||26||2688|
|AmpereOne||160||819,750 queries/s||534 W||23||18.85 M Queries/s|
|AMD Genoa 9654||96||356,388 queries/s||512 W||25||8.91 M Queries/s|
|AMD 9654 (Genoa)||AmpereOne||DLRM|
|AmpereOne||160||0.036 frames/s||534 W||23||0.828 frames/s|
|AMD Genoa 9654||96||0.014 frames/s||624 W||26||0.364 frames/s|
|AMD 9654 (Genoa)||AmpereOne||DLRM|
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