Vertiv tackles digital infra challenges

Digital infrastructure provider Vertiv has introduced a new deployment guide to help businesses move artificial intelligence projects from testing to full-scale operations.

Developed with research firm STL Partners, the Designing Infrastructure for Enterprise AI guide provides companies with a framework for determining where AI workloads should operate and what infrastructure they require.

The initiative also involves collaboration with the Deloitte Center for Integrated Research.

Vertiv said businesses adopting AI must consider whether their existing facilities can support the technology’s electricity, cooling, connectivity and computing requirements.

“The next phase of enterprise AI will be shaped not only by models and computing, but also by whether organizations can provide the power, cooling, connectivity and operating environment each workload requires,” Vertiv CEO Giordano Albertazzi said.

The guide outlines a four-step planning process covering business objectives, workload requirements, deployment locations and infrastructure selection.

It also identifies six categories of AI workloads and four infrastructure configurations, ranging from smaller edge computing systems to high-density AI clusters.

According to Vertiv, businesses may use cloud platforms for experimental AI projects while moving more demanding operations to hybrid, enterprise-managed or edge computing environments.

Nicholas Merizzi, principal at Deloitte Consulting LLP, said organizations must consider business value, governance and operational requirements when deploying AI systems.