Powering AI When the Grid Can’t: The New Behind-the-Meter Playbook

Mar 3, 2026

Guest

David Blank

Guest

Fengrong Li, Senior Managing Director at FTI Consulting, moderates the discussion. David Blank, Siemens Energy turbine lead, explains gas turbines as near‑term backbone. Marty Trivette, AlphaStruxure energy solutions SVP, covers on‑site financing and modular builds. Brian Gitt, Oklo business lead, talks modular nuclear options. Yuval Bachar, ECL CEO, outlines modular hydrogen fuel‑cell DC‑first designs. They debate modularity, fuel mixes, fast‑response buffering, and phased on‑site power strategies.

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ADVICE

Finance Onsite Power Separately To Avoid Rate Base Issues

Finance behind-the-meter as a separate project to avoid rate-base pushback and keep costs off utility customers.
Marty Trivette explains structuring on-site power as its own financed asset with direct offtake by the data center.

INSIGHT

Modular Blocks Replace Central Power Plants For Speed And Simplicity

Distributed modular generation avoids central transmission and simplifies supply chain by producing low-voltage or DC power next to racks.
Yuval Bachar describes building gigawatt sites from 2–3 MW blocks, generating at 480V or DC with short local transmission.

ADVICE

Choose Speed To Power Over Lowest Cost For AI Projects

Prioritize speed over cost when grid interconnection timelines threaten project delivery; accept higher near-term on-site costs for time-to-power.
Brian Gitt argues bespoke, fast-build solutions justify premium because AI revenue depends on rapid deployment.

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The AI infrastructure boom is rapidly reshaping how the data center industry thinks about power. What was once a relatively straightforward utility procurement exercise is evolving into a complex strategy spanning onsite generation, fuel logistics, financing, and system architecture.

That reality framed a recent special edition of The Data Center Frontier Show Podcast, which recast and updated a pivotal DCF Trends Summit 2025 session: From Grid to Onsite Powering: Optimizing Energy Behind the Meter for Data Centers.

Moderated by Fengrong Li, Senior Managing Director at FTI Consulting, the panel explored how operators are responding as interconnection timelines stretch and AI workloads surge. Li’s framing emphasized a core shift: onsite power is moving from contingency planning to critical-path infrastructure.

From the OEM perspective, David Blank of Siemens Energy noted that behind-the-meter deployments have accelerated sharply over the past year as developers confront multi-year waits for firm utility capacity.

“Everyone would prefer grid power,” Blank said. “But in many cases, reliable access isn’t available for five, ten, even ten-plus years.”

Panelists agreed that AI’s scale and speed are driving a structural rethink. Brian Gitt of Oklo described the moment as a return to industrial roots, with large loads once again building dedicated generation to meet growth timelines.

At the same time, new technical pressures are emerging. AI clusters can produce sharp load swings, forcing developers to deploy fast-response buffering technologies such as batteries, flywheels, and supercapacitors to maintain stability.

Despite differing technology paths—including gas turbines, hydrogen fuel cells, and advanced nuclear—the panel aligned on one common theme: modularity. Phased power blocks increasingly mirror how AI campuses are actually built and financed.

The discussion also highlighted the growing importance of contract structures. Long-term offtake commitments, capacity reservations, and credit support are increasingly required to unlock equipment queues and fuel supply.

Other panelists included Marty Trivette of AlphaStruxure and Yuval Bachar of ECL. The event was hosted by Data Center Frontier’s Matt Vincent.

The takeaway was clear: in the AI era, energy strategy has moved to the critical path—and for many operators, that path now runs behind the meter.