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1、1The State of AI Infrastructure 2026:Can Systems Withstand AI Scale?Can Systems Withstand AI Scale?The State of AI Infrastructure 2026:The State of AI Infrastructure 2026:2The State of AI Infrastructure 2026:Can Systems Withstand AI Scale?1.AI growth is no longer optionalits guaranteed.100%of respon

2、dents expect AI workloads to grow in the next year.More than 60%predict increases of 20%or more.At this point,AI adoption is an inevitability.The only question is how existing systems will respond to the volume and velocity of whats coming next.The data reveals an unsettling answer.2.Infrastructure

3、failure is expected very soon.AI is shifting from an innovation initiative to a systems-level risk.83%of leaders believe their data infrastructure will fail without major upgrades in the next 24 months.The fragility of current infrastructure wont be solved with routine maintenance,it requires an ove

4、rhaul of how organizations approach the architectural foundation on which their systems rely.3.For one-third of companies,the breaking point is less than a year away.34%expect their infrastructure to fail within the next 11 months.For a significant share of enterprises,infrastructure failure related

5、 to AI scale is viewed as an imminent event,not a distant possibility.4.The database layer is emerging as a critical point of failure.30%of respondents identified the database as the first point of failure in an AI-overload scenario,second only to the cloud infrastructure itself.The problem is not r

6、unning on the cloud,the problem is how design decisions are made with regard to how data is ingested,processed,stored,and moved.5.AI is expected to drive a meaningful share of outages.AI-related reliability issues are no longer hypothetical.77%expect AI to drive at least 10%of all service disruption