The Power Certainty Premium: GPC Infrastructure CEO Jim Summers on Delivering Gas-Powered Compute at AI Scale

Nomads at the Frontier: Phillip Koblence on AI Infrastructure, Inference Demand, and the Industry’s Growing Visibility at Data Center World 2026

Recorded live at Data Center World 2026, Data Center Frontier Editor in Chief Matt Vincent sits down with Phillip Koblence, COO of NYI and co-founder of Nomad Futurist, for the latest installment of Nomads at the Frontier. The conversation explores the accelerating realities of AI infrastructure buildouts, the industry’s growing focus on community engagement, workforce shortages, and the shift toward inference-driven deployments following NVIDIA GTC 2026. Koblence discusses why major interconnection hubs and edge-adjacent urban facilities may become increasingly important in the inference era, the operational realities of deploying AI infrastructure in legacy carrier hotels like 60 Hudson Street, and why the industry can no longer remain invisible to the communities where it builds. Additional topics include: * The continuing surge in digital infrastructure demand * Why conference attendance reflects sustained industry expansion * Power constraints and energy storage discussions emerging at Data Center World * AI factories and the evolving economic role of data centers * Workforce shortages across engineering and skilled trades * Nomad Futurist’s workforce development initiatives with Infrastructure Masons and I Am The Armed Forces * The growing complexity and diversity of the data center ecosystem “Every element of everything within the data center has a full sub-vertical industry associated with it,” Koblence says during the discussion. “People would be surprised how large of an ecosystem is involved in creating the digital economy that exists today.” Listen now for a candid, fast-moving conversation on the state of AI infrastructure and the future of digital infrastructure development.

Delta Electronics and the Rise of the AI Infrastructure Stack

On the latest episode of the DCF Show Podcast, Data Center Frontier Editor in Chief Matt Vincent sits down with Kelly Gray, Senior Director at Delta Electronics [https://www.deltaww.com/en-US/index], for an in-depth conversation about how AI is fundamentally reshaping data center power, cooling, and systems architecture. Gray explains how Delta’s “chip-to-grid” strategy positions the company at the intersection of server design, thermal management, high-voltage DC power distribution, and next-generation AI infrastructure deployment. As GPU densities climb and liquid cooling becomes mandatory for advanced AI systems, Gray argues that power and thermal design are no longer secondary considerations. They are now driving the entire facility architecture. The discussion explores Delta’s leadership role in emerging 800 VDC architectures, including rack-level and facility-wide DC distribution systems, along with the company’s recently introduced 2.4 MW CDU designed for 800 VDC environments. Gray describes the transition to high-voltage DC as “very real” and already underway with hyperscale and AI infrastructure customers. The conversation also dives into microgrids, solid-state transformers (SSTs), solid oxide fuel cells, and the growing importance of on-site power generation as utilities struggle to keep pace with AI demand growth. Gray outlines Delta’s vision for AI data centers that operate as “good neighbors” through cleaner generation, energy storage integration, and grid support capabilities. Additional topics include Nvidia Omniverse-driven digital twins, modular infrastructure deployment, prefabrication strategies, and how AI itself may help solve the operational and architectural challenges AI creates. The episode provides a detailed look at how one of the industry’s major power and thermal players sees the future of AI infrastructure evolving, from the rack all the way to the grid.

The Power Certainty Premium: GPC Infrastructure CEO Jim Summers on Delivering Gas-Powered Compute at AI Scale

The AI infrastructure buildout has a gating problem, and it isn't megawatts. It's certainty of delivery. In this episode, Data Center Frontier Editor-in-Chief Matt Vincent sits down with Jim Summers, CEO of GPC Infrastructure, to examine what large-scale power delivery actually requires in today's market. Summers argues that hyperscalers are no longer shopping for energy. They're buying speed to market, guaranteed timelines, and risk transfer. Utilities, hamstrung by interconnection queues and uncertain delivery dates, increasingly can't provide those things. The conversation covers the full picture: why on-site natural gas has moved from bridge solution to permanent architectural layer, how battery systems have become essential infrastructure for managing AI's volatile load profiles, and what the supply chain — not energy policy — now governs project timelines. Summers also walks through GPC's mobile PPA structure, designed to give operators long-term cost amortization without locking equipment in place, and makes the case that waste heat capture will eventually become standard practice. The broader theme is risk. On-site generation shifts capital and operational responsibility to the developer. But it also hands them something utilities can't offer: direct control over their cost exposure, in a commodity market that is liquid and hedgeable. Power in the AI era, Summers concludes, is no longer a utility assumption. It is a negotiated outcome.

From Buildings to Token Factories: Compu Dynamics CEO Steve Altizer

On this episode of the Data Center Frontier Show, DCF Editor-in-Chief Matt Vincent speaks with Steve Altizer, CEO of Compu Dynamics, about how AI is fundamentally reshaping data center infrastructure. Altizer explains why traditional facilities—designed for 300–400 watts per square foot—are being pushed aside by AI environments demanding up to 10x greater density. The conversation explores what “AI-ready” really means today, from liquid cooling at the rack to evolving power topologies and the need for flexible white space that can keep pace with rapidly changing GPU architectures. A central theme is modularity, but not the containerized version the industry has long associated with the term. Altizer outlines a shift toward factory-built IT modules and scalable 5 MW building blocks, pointing to a future where data centers are assembled as systems rather than constructed as buildings. The discussion also digs into the industry’s biggest execution challenges. Liquid cooling remains a key risk area, with inconsistent installation practices and limited field experience raising concerns about long-term reliability. At the same time, power constraints continue to sit outside the facility, with utilities and generation strategies shaping what can actually be built. Looking ahead, Altizer offers a clear prediction: data centers will evolve into purpose-built industrial plants—“token factories”—designed for output, not occupancy. This episode is a grounded look at how AI is moving data centers from adaptable real estate to highly specialized infrastructure systems.

Powering the AI Era: The Rise of Agile Grid Forming BESS

As AI workloads continue to scale, data centers are facing a new class of electrical challenges—ones driven not by total energy demand alone, but by how quickly that demand can change. AI training environments, particularly those built around dense GPU clusters, can cause rapid and unpredictable swings in power consumption. These fast load changes place stress on power systems that were originally designed for steadier, more predictable behavior.  In the podcast, we explore why traditional approaches to power stabilization may not fully address the demand of AI-driven variability. While these approaches can absorb momentary spikes, they may fall short when it comes to sustained smoothing or supporting broader system stability. This becomes even more complex as many data centers are powered by on-site generation before transitioning to utility grid connections later in their lifecycle.  The conversation highlights how newer energy storage strategies are evolving to meet these demands. Advanced battery-based systems, when paired with more adaptive control strategies, are designed to respond rapidly to load changes while operating effectively across different grid conditions. Rather than reacting only after voltage or frequency disturbances occur, these systems can proactively manage fluctuations at the point of interconnection, helping protect generation assets, improve power quality, and facilitate faster project timelines.  As AI continues to push infrastructure into unfamiliar territory, the industry will need flexible, high-speed solutions that work across both islanded and grid-connected environments. Technologies designed with this adaptability in mind are quickly becoming a key enabler for the next generation of AI-ready data centers.  These capabilities described herein reflect general technology characteristics and may vary based on system configuration, site conditions, and grid environment.