AI infrastructure decisions increasingly shape business performance by impacting model costs, data governance, regional compliance, and the ability to deploy new AI capabilities quickly. These decisions become more complex with growing privacy and sovereignty concerns, rising data movement charges, and latency issues. In this new reality, hybrid multicloud is no longer just a hedge for reducing risk and improving resiliency; it’s become a strategic imperative. For instance, enterprise leaders recognize the need for specialized AI hardware like GPUs, application-specific integrated circuits (ASICs) and other AI accelerators, and they’re turning to cloud providers and other ecosystem partners to help meet that…

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