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Mark Lohmeyer, Vice President of AI and Compute Infrastructure at Google Cloud, said that the various demands of agentic AI are imposing entirely new requirements on data center CPUs and indeed on the entire infrastructure stack. He noted that the bursty workloads and long-duration state retention of agentic AI are driving up the share of data center CPU compute, with CPUs rising from a previously small share to a level that cannot be ignored. Google Cloud uses microVMs for agent isolation, increasing the number of VMs that can be hosted on the same hardware from 100 to 1,000 microVMs, while offering both Intel and AMD x86 CPUs and its self-developed Arm-based Axion CPU for customers to choose according to their workloads.
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Google: Agentic AI Drives Up Data Center CPU DemandDevelopments
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Google executive says agentic AI is driving up data center CPU demand
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Nov 2
Semiconductor Industry Observer
Google: Agentic AI Drives Up Data Center CPU Demand
Mark Lohmeyer, Vice President of AI and Compute Infrastructure at Google Cloud, said that the bursty workloads and long-duration state retention of agentic AI are driving up the share of data center CPU compute, with CPUs rising from a previously small share to a level that cannot be ignored. Google Cloud uses microVMs for agent isolation, increasing the number of virtual machines that can be hosted on the same hardware from 100 to 1,000 microVMs, and simultaneously offers Intel and AMD x86 CPUs along with its self-developed Arm-based Axion CPU for customers to choose based on workload.