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The shift toward hybrid and edge deployments highlights a critical pivot in enterprise AI strategy, prioritizing data sovereignty and governance over exclusive reliance on public clouds. IBM's self-hosted agentic platform exemplifies how infrastructure is evolving to meet strict regulatory demands while maintaining ecosystem connectivity for sensitive workloads. This trend underscores that future AI adoption will depend heavily on the ability to process models locally without compromising security or compliance.
IBM reports 44% of AI will run on private servers by 2030

A report from Futurum Research projects hybrid and edge deployments will capture 44% of the AI infrastructure market by 2030 as organizations seek sovereign control alongside ecosystem connectivity.
By 2030, 44% of AI infrastructure is projected to run on hybrid and edge deployments, shifting control away from public cloud platforms, according to a Futurum Research report. IBM is responding to this demand with a self-hosted deployment option for IBM Bob, its…
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