GlobalData research paper

Solving the AI Infrastructure Dilemma

Do AI workloads always belong in the cloud? Not necessarily. In some cases, an on-premises or hybrid approach might make the most sense, depending on your business needs, risk management, and overall costs.

Get practical insights to help you choose the optimal place for each of your production AI workloads. In this paper, we'll cover:

• Why achieving macro business goals requires more than a single approach to AI implementation and why a hybrid model can be so powerful
• How enterprises should be open to evolving where a given AI workload is located throughout its lifecycle, moving to either on-premises or cloud as needs shift
• What teams need to know about the pros and cons of running production AI in the cloud—and when an on-premises solution might be a strategic choice