4TH ANNUAL GLOBAL REPORT

State of AI Infrastructure at Scale 2025-2026

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Enterprises are investing heavily in AI infrastructure, yet many are leaving millions of dollars of GPU capacity idle while AI teams wait in queues. Cost control, governance, and flexibility are now the defining challenges for AI infrastructure leaders.
Download ClearML’s State of AI Infrastructure at Scale 2025–2026 report to see how IT leaders and AI infrastructure decision-makers at Fortune 1000 organizations and large enterprises are reshaping their strategies to improve utilization, avoid vendor lock in, and keep pace with rapidly evolving AI use cases.

Key Insights From Our Report About AI Infrastructure Readiness

GPU waste is slowing AI innovation

Many enterprises rank increasing GPU and compute utilization as a top priority, yet a large share still manages resource allocation manually or without a clear strategy. The result is expensive capacity sitting idle.

Cost and governance are center stage

Cost control is the leading infrastructure planning priority for 2025 & 2026, and nearly one third of organizations name stronger policies, permissions, and governance controls as their top operational focus.

Flexibility is mission-critical for success

A significant portion of respondents rate flexibility as “very important”, particularly the freedom to choose what's best for each workload. 

AI agent plans are outpacing readiness

Nearly nine out of ten enterprises plan to deploy AI agents in the near term, but many lack the security, compliance, and credential controls required to do this safely at scale.

Download the full report and you’ll learn:

  • How executives are planning to expand their AI infrastructure
  • The critical insights, benchmarks, and key challenges they face
  • How they rank priorities when evaluating AI infrastructure solutions against their business use cases
  • Why optimizing GPU utilization and GPU fractioning are major concerns and why mitigating compute challenges will be critical to success
  • Why mitigating compute challenges will be critical to success and the bottom line