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CIOs Increasingly Repatriating GPU Workloads from Cloud to On-Premises Infrastructure

Published 2026-03-25AI Infrastructure and ComputeHigh

Summary

This article addresses the growing trend among enterprise CIOs to bring GPU compute workloads back on-premises after initially deploying AI infrastructure in the cloud. The move is driven by escalating cloud costs for GPU-intensive AI workloads, concerns about data sovereignty and latency, and the desire for greater control over AI infrastructure as organizations scale their AI initiatives beyond experimentation into production. The repatriation trend reflects a maturation in enterprise AI stra

Alignment: Reinforces current position
Related Positions: ai-infrastructure-strategy.md, enterprise-ai-delivery.md
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CIOs Increasingly Repatriating GPU Workloads from Cloud to On-Premises Infrastructure — Intelligence — Agentic Developer Tools Radar · Signal