Schneider Electric on Integrated AI Infrastructure

This summer, TechArena has been talking to the companies building the AI data centers of tomorrow.

We caught up with Steven Carlini, chief advocate for AI and data centers at Schneider Electric, which designs power, cooling and controls for AI facilities as one integrated system. As rack densities climb and utility power becomes the tightest constraint on new AI capacity, how quickly that infrastructure can be designed and deployed is becoming one of the sharpest bottlenecks in the industry.

We talked about the changing role of power in AI projects, what’s driving how fast new AI capacity can come online today, and where the gap is widest between what AI buildouts need and what today’s grid and supply chain can deliver.

Q1: AI infrastructure is shifting from separately bought parts to one integrated system. How does Schneider Electric help operators design power, cooling and control as a whole?

A: AI infrastructure performs best when power, cooling, controls and software are designed as one integrated technology system instead of assembled piece by piece. Schneider Electric acts as an energy technology partner by bringing together electrical distribution, liquid cooling, racks, digital management and services into a unified architecture in the form of reference designs and prefabricated modules. These help customers reduce complexity, uncertainty and risk, and they help accelerate deployment. By designing these systems together from the outset, operators can improve efficiency, simplify operations and reduce time to power for new AI capacity.

Q2: As the rack becomes the unit of design, how is power’s role on an AI project changing?

A: Power has become a strategic enabler of AI deployment. As rack densities continue to climb, we are bumping up against the laws of physics and running out of physical space for the power inputs. Delivering reliable power to each rack is as challenging as delivering liquid cooling and as important as delivering power to the facility. Every decision around electrical distribution, cooling and controls affects how quickly infrastructure can be commissioned. Designing around the rack helps operators maximize available power, support higher densities and bring AI capacity online faster.

Q3: What determines how quickly new AI capacity can come online right now?

A: Today, speed is driven by time to power. Access to utility power or constructing onsite or adjacent prime power (energy parks) dedicated to the data center, electrical infrastructure, cooling and coordinated supply chains all influence how quickly AI clusters can be deployed. Organizations that take an integrated approach to infrastructure planning and use validated, end-to-end solutions can reduce project complexity, shorten commissioning timelines, and accelerate time to revenue.

Q4: Where is the widest gap between what AI buildouts need and what today’s grid and supply chain can deliver?

A: Demand for AI infrastructure is growing much faster than traditional power infrastructure can expand. Operators need more capacity, higher density cooling and shorter deployment timelines than existing facilities were designed to support. Closing that gap requires maximizing every available megawatt through efficient infrastructure, modernizing the grid, streamlining processes for expansion and access, building new energy parks where needed, and deploying integrated and intelligent power distribution solutions that reduce time to power.

Q5: What is the next hard problem in power that the industry hasn’t solved yet?

A: The next challenge is not only securing more power; it is reducing the time it takes to bring that power into service and making every available kilowatt work harder to generate tokens and intelligence. As AI workloads continue to scale, operators need infrastructure that can adapt dynamically across power, cooling and operations. The path forward is not simply adding more capacity but creating smarter infrastructure that helps organizations accelerate time to power while meeting the growing demands of AI. That requires moving from disconnected systems to intelligent, integrated infrastructure. With EcoStruxure, Schneider Electric connects energy, power and facility systems to help operators gain real-time visibility, improve efficiency and optimize performance.