1、Copyright 2025 by ClearML.All rights reserved.|All trademarks are the properties of their respective owners.Presented by4th Annual Global Report:State of AI Infrastructure at Scale 2025-2026Copyright 2025 by ClearML.All rights reserved.|All trademarks are the properties of their respective owners.Th

2、is report uncovers where real progress is being made,and where the industry must double down to advance.The survey findings paint a picture of an industry in rapid transition where the rush to“just make AI work”and running trial cloud POCs against baseline use cases is coming to an end,especially fo

3、r early enterprise adopters.Now,enterprises face the real challenges:skyrocketing costs,flexibility and vendor lock-in,AI and data sovereignty compliance and AI compute resources bottlenecked from the teams that need them most.Tellingly,data from this survey corroborates Forresters recent research t

4、hat the top barriers to scaling AI are security or governance concerns,lack of budget,and lack of ROI1.This survey highlights a turning point:AI adoption is moving from experimentation to control,future proofing,maximizing compute utilization and scale.Our global survey data shows organizations wres

5、tling with a new set of sophisticated challenges ranging from Kubernetes complexity to security vulnerabilities.Paradoxically,cost control remains the top concern despite significant advancements in GPU utilization and AI workload management and provisioning that support compute consumption self-ser

6、ve by AI Builders.Googles recent State of AI infrastructure report supports our conclusions,finding security and cost efficiency to be critical challenges,with 83%of respondents reporting cost as a key factor when evaluating infrastructure solutions2.Despite the concerns,AI growth is inevitable.The