Where should your AI workloads run? It's one of the most overlooked questions in AI strategy. From surprising constraints around power, cooling and floor space, to the growing demand for GPU-as-a-Service models, this episode delivers a field-level view of the challenges enterprises face when moving from AI proof of concept to production. You’ll hear why infrastructure readiness assessments are essential, how AI workloads differ from traditional IT, and what to consider before buying that next GPU cluster.

Support for this episode provided by: Equinix

Learn more about this weeks guests: 

Chris Campbell is Sr. Director of AI Solutions at WWT, overseeing AIaaS/GPUaaS, Facilities & Infrastructure strategy and delivery. He's held leadership roles in executive engagement, engineering, and architecture at WWT, and led practices at Forsythe, Red Hat, BEA Systems, and AT&T. Chris holds a BA from Columbia University and an MBA from the University of Maryland, where he was a Dingman Entrepreneur Scholar.

Don Molaro is a tech professional focused on making data centers carbon neutral. Based in Cupertino, he holds a master's in Computer Science and 33 U.S. patents. He specializes in systems programming, high-performance storage, and software-defined systems, with experience across industries from finance to HPC. Previously, he held senior roles at Citibank, DataDirect Networks, and Hitachi Data Systems.

Chris and Don's top pick: What is GPU-as-a-Service (GPUaaS) or GPU Cloud?

The AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions.

Learn more about WWT's AI Proving Ground.

The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.

Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.