Scaling AI Infrastructure with Open Systems and Arm-Based Silicon.pdf
1、Scaling AI Infrastructure with Open Systems and Arm-Based SiliconEddie RamirezVice President of Marketing,Cloud AIArmAgentic explosion*Based on GitHub adoption trends20122026202420222020201820162014100k200kGitHub starsOpenClawKubernetesLinux20262026-20292031+500+110 Agents(per team/workflow)10000+So
2、urce:GartnerAgentic explosionAgents query 15x requests of humans AgentsAI data center CloudCPUCPUCPUCPUCPUCPUCPUCPUCPU orchestratesAccelerators generate tokensACCELERATORACCELERATORC P UAI agentAgentsCPU orchestratesAccelerators generate tokensACCELERATORACCELERATORC P UAI data center AnswerCloudCPU
3、CPUCPUCPUCPUCPUCPUCPUMassive amount of agent workloads swamp CPURequest queue28 waiting100%GPU 2WAITINGGPU 1WAITINGUtilization0%AI agentAnswer3-5X more CPUs needed to balance agent flow AgentsAI data center CloudCPUCPUCPUCPUCPUCPUCPUCPUCPUCPUCPUCPUCPUCPUCPUCPUCPU orchestratesAccelerators generate to
4、kensCPUACCELERATORACCELERATORACCELERATORACCELERATORCPUAI agentPerformanceScaleEfficiencyWorlds most efficient agentic CPUMemory tuned for compute6GB/s memory BW/core6TB per chip capacityUp to DDR5-8800World class Arm efficiencyIncredible 3nm efficiencyMaximum compute density300 watt TDPI/O for compo
5、sable AI systems96x lanes PCIe Gen6CXL 3.0 memory expansion and moreAMBA CHI extension linksLatency-optimized memory accessDual chiplet designMemory and I/O on same dieSub 100ns memory latencyUp to 136 Arm Neoverse V3 coresDedicated 2MB L2 cache per coreUp to 3.7Ghz frequencyResponsive performanceOp





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