1、Lynn Comp2|Public3|PublicEndnote:SP5-013B4|Public10 Containers of8 cores each24 Containers of8 cores each2x 4th GenAMD EPYC2x 3rd GenXeon Platinum10 Containers of8 cores each24 Containers of8 cores each2x 4th GenAMD EPYC2x 3rd GenXeon PlatinumEndnotes:SP5-070 and-071A5|PublicEndnote:SP5TCO-019B6|Pub
2、licIf was measuredin acres of forest Endnote:SP5TCO-021A133m VMs based on VMmark tiles.7|Public2022 Update on 30 x25 Energy Efficiency Goal Ahead of the Curvehttps:/ Endnotes:Footnote 18|PublicNon-AMD AWS EC2 instance32c/300WAWS M6a(AMD)Milan 7R13/48c/225WCPU power per server600W(2x300w)450W(2x225W)
3、DDR4 power per server128W(512GB)141W(768GB)Miscellaneous power per server(Board,PS,NIC,SSD,etc.)75W75WTotal power per server803W666WTotal#servers per rack 65%utilization(power limit)3340Total#servers per rack(physical limit 1.5U per server)2626Total#of vCPUs per rack3328(26x2x2x32)4992(26x2x2x48)Tot
4、al rack power(65%utilization)13,570W(803x0.65x26)11,255W(666x0.65x26)Rack Energy Efficiency(W/vCPU)Lower is Better4.12.3Rack Energy Efficiency(W/vCPU)AMD EPYC Milan based EC2 VMs are 44%more energy efficient vs.Non-AMD EC2 based VMs42u,17.5kVA Rack,1.5u Compute ServerAMD EPYC CPUs Make Cloud Infrast
5、ructure 44%More Energy Efficient9|Public32,66736,38838,00931,86221,06522,4968,59610,84705,00010,00015,00020,00025,00030,00035,00040,00010%20%30%40%50%60%70%80%Performanceto Power RatioTarget Power LoadSPECpower_ssj2008 ssj_ops/watt target operational loadEPYC 9654;1NEPYC 7763;1NIntel 8480+;1NAmpere
6、Q64-30;2NOperations/Watt=Work accomplished for power used1n 2P 3rdGen EPYC 776325,302 overall ssj_ops/W1n 2P 4th Gen EPYC 965430,602 overall ssj_ops/W1n 2P Xeon Platinum 8480+16,828 overall ssj_ops/W2n 1P Ampere Altra Q64-308,436 overall ssj_ops/WEnergy Consumption*=The production of a certain amoun