Warehouse Management in Mission Critical Supply Chains

As AI infrastructure scales from megawatts to gigawatts, liquid cooling is rapidly becoming a foundational technology rather than a specialized option. In this episode of the Data Center Frontier Show podcast, recorded at Motivair's headquarters and manufacturing facility in Buffalo, New York, DCF Editor in Chief Matt Vincent sits down with Motivair CEO Rich Whitmore to discuss the evolution of liquid cooling from its roots in high-performance computing to its central role in today's AI data centers. Whitmore explains how Motivair's decade-plus experience supporting supercomputing environments helped position the company for the current AI boom, which he describes as the commercialization of traditional HPC at unprecedented scale. The conversation explores how liquid cooling products are developed years ahead of silicon roadmaps, why manufacturing discipline and testing standards have become competitive differentiators, and how global production capacity is increasingly essential as AI deployments accelerate worldwide. The discussion also examines one of the industry's emerging technical debates: whether ever-larger "facility-scale" coolant distribution units are the best answer for AI infrastructure. Whitmore offers a unique perspective on the realities of thermal management, noting that while AI workloads can change almost instantaneously, mechanical cooling systems must still operate within the physical constraints of pumps, valves, and fluid dynamics. The interview was recorded during a Schneider Electric global media event that included a tour of Motivair's Buffalo manufacturing operations and the nearby 750 MW TeraWulf Lake Mariner AI campus. There, Motivair liquid cooling technologies—including CDUs, in-rack manifolds, and ChilledDoor rear-door heat exchangers—are helping support one of North America's most ambitious AI infrastructure developments. As Whitmore explains, the question facing the industry is no longer whether liquid cooling will become mainstream. That transition is already underway. The challenge now is executing at scale—and building the manufacturing, supply chain, and engineering capabilities required to support the next generation of AI infrastructure.

Water has long been an overlooked piece of data center infrastructure, but that is rapidly changing as AI development accelerates across the industry. In this episode of the Data Center Frontier Show podcast, DCF Editor in Chief Matt Vincent sits down with Anurag Bajpayee, co-founder and executive chairman of Gradiant, to discuss why water is increasingly emerging alongside power as one of the most important constraints facing future data center development. Bajpayee explains how hyperscale operators are beginning to view water availability, reuse, discharge management, and community acceptance as strategic business issues rather than simply sustainability concerns. He also discusses Gradiant's end-to-end approach to industrial water treatment, including advanced recycling technologies, AI-driven operational optimization, and the company's vision for helping data centers become less dependent on municipal water supplies. Among the topics touched on: • Why operator interest in water strategy has surged over the past 12 to 24 months • How water availability is becoming a siting, permitting, and business continuity issue for AI campuses • The concept of "controlling your water destiny" • Turning wastewater into a resource through recycling and reuse • How AI can optimize water treatment operations in real time • What data centers can learn from the semiconductor industry's evolution in water management • The water implications of direct liquid cooling and next-generation AI infrastructure • Why water stewardship is increasingly becoming a business strategy rather than solely an environmental initiative As AI infrastructure scales to unprecedented levels, the industry's resource challenges are expanding beyond power alone. This conversation offers a timely look at why water is becoming a critical component of data center planning, operations, and long-term growth. Listen now to hear how Gradiant views the future of water infrastructure in the AI era and why operators are increasingly seeking greater control over one of their most essential resources.

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.

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, 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 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.

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.

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. 

On the latest episode of the Data Center Frontier Show podcast, DCF Editor in Chief Matt Vincent speaks with Melissa Kalka, M&A and private equity partner, and Kimberly McGrath, real estate partner at Kirkland & Ellis, about how capital, power, and deal strategy are changing in the AI data center era. Their core message is clear. Capital is still flowing into digital infrastructure, but the market has become far more disciplined. Investors are no longer simply chasing land or growth stories. They are digging deeper into platform quality, delivery track record, contractual structure, and above all, power certainty. That last point now sits at the center of nearly every transaction. As AI workloads push development from 20 MW and 48 MW deals toward 100 MW, 500 MW, and even gigawatt-scale campuses, power availability has become the first screen in diligence. A site may have land and entitlements, but without credible access to power, it may struggle to attract customers, financing, or buyers. The conversation also underscores how AI has changed the asset class itself. Data centers are no longer being evaluated strictly as real estate. They are increasingly underwritten as a hybrid of real estate and infrastructure, with longer hold periods, shared campus systems, and more complex capital stacks. That dynamic is driving new financing structures, including more private credit activity, more infrastructure-style investment, and growing interest in open-ended and perpetual vehicles for long-term ownership. Powered land, meanwhile, has emerged as an asset category of its own. In a market where development pipelines remain robust and hyperscalers are pursuing massive capacity expansions, sites with large increments of secured power are drawing intense interest. Kalka and McGrath also explain that customer contracts now function as a key part of financing infrastructure. Lease and colocation agreements are being negotiated with greater attention to lender expectations, long-term revenue stability, and risk allocation around power delivery and development timing. For developers and operators, one of the biggest lessons is that structure matters early. Projects need to be organized from the outset in ways that make them financeable, investable, and divisible as platforms mature. Just as important, these deals now require extraordinary coordination across legal, real estate, regulatory, financing, environmental, and community stakeholders. The episode offers a timely look at a market moving out of its speculative phase and into a more demanding period defined by execution. In the AI era, the winners will not simply be those who raise capital fastest, but those who can align capital, contracts, land, and power into a credible path to delivery.

In today’s mission-critical supply chains, downtime is not an inconvenience—it’s a crisis. Whether supporting manufacturing, fabrication, integration or construction, warehouse management systems (WMS) have evolved from simple inventory tools into the digital backbone of high-stakes logistics environments. Today, Jarrett Atkinson, Vice President of Supply Chain for BluePrint Supply Chain explores how modern WMS platforms are redefining resilience, visibility, and performance in mission critical construction supply chains where failure is not an option We dive into what separates a standard WMS from one engineered for high-availability operations supporting multi-site deployment and specialized handling of large-scale gear.  We will also discuss critical KPIs, reporting and visibility—how a WMS unlocks critical business insights that can improve efficiency, reduce costs, and eliminate project obstacles. Beyond technology, we also address implementation risk and examine the innovations poised to shape the next five years of mission-critical logistics.  

We’re taking a closer look at a topic that’s no longer optional for data‑center leaders: sustainability with measurable accountability. As carbon regulations tighten, especially around Scope 3 emissions, owners and operators are rethinking how they specify and source every component in the power chain. At the same time, supply‑chain pressures, copper constraints, and new state‑level requirements like on‑premise power for large sites are introducing new complexities into design, procurement, and long‑term planning. Joel Wynn, VP of Data Center Sales at Southwire, brings a unique end‑to‑end perspective, spanning mining practices, material traceability, advanced conductor engineering, Environmental Product Declarations, and the real‑world challenges hyperscalers and colos face when trying to reduce embodied carbon. Hear a conversation about how reduced‑carbon copper, transparent supply chains, and next‑generation power infrastructure can meaningfully move the needle on sustainability and how data‑center developers can prepare for the regulatory, technical, and community‑driven expectations coming next. Where does power innovation come into play in the context of sustainability?  We are already seeing shifts in the industry and the move to on-premise power. Southwire is focused on bringing innovation to the industry from the mining companies to the data center, all while identifying opportunities to upgrade existing cable for greater efficiency.