This checklist helps organizations assess whether AI/ML workloads should shift from cloud to hybrid or on-prem architectures. Pages 1–3 outline indicators related to data gravity, cloud egress cost, GPU expense escalation, security posture, latency bottlenecks, compliance needs, and operational control. It includes statistics from the OpenText Cloud Repatriation report showing cost savings, improved security, and 10× faster performance for repatriated workloads. The checklist guides decisions on infrastructure readiness, hybrid strategy alignment, and long-term AI governance.

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