Public AI platforms are increasingly used by employees to accelerate daily work — but sensitive business data is flowing into them outside IT visibility and governance. This phenomenon, known as "Shadow AI," is now one of the biggest data sovereignty challenges facing enterprise and government organizations.
The answer isn't to block AI — employees will keep using it because the productivity gains are real. The answer is to bring AI inside your own infrastructure boundaries. VMware Private AI Foundation with NVIDIA, deployed on VCF 9.1, delivers exactly that: GPU-accelerated workload domains, VKS clusters with the NVIDIA GPU Operator, and on-prem inference and RAG pipelines — all under the same governance, lifecycle management, and operational model your team already uses for the rest of the private cloud.
The result: full data sovereignty, no external data retention, and AI workloads that run where your data already lives.
