The Data Center Frontier Show

In this episode of the Data Center Frontier Show, DCF Editor-in-Chief Matt Vincent speaks with Ed Nichols, President and CEO of Expanse Energy / RRPT Hydro, and Gregory Tarver, Chief Electrical Engineer, about a new kind of hydropower built for the AI era. RRPT Hydro’s piston-driven gravity and buoyancy system generates electricity without dams or flowing rivers—using the downward pull of gravity and the upward lift of buoyancy in sealed cylinders. Once started, the system runs self-sufficiently, producing predictable, zero-emission power. Designed for modular, scalable deployment—from 15 kW to 1 GW—the technology can be installed underground or above ground, enabling data centers to power themselves behind the meter while reducing grid strain and even selling excess energy back to communities. At an estimated Levelized Cost of Energy of $3.50/MWh, RRPT Hydro could dramatically undercut traditional renewables and fossil power. The company is advancing toward commercial readiness (TRL 7–9) and aims to build a 1 MW pilot plant within 12–15 months. Nichols and Tarver describe this moonshot innovation, introduced at the 2025 DCF Trends Summit, as a “Wright Brothers moment” for hydropower—one that could redefine sustainable baseload energy for data centers and beyond. Listen now to explore how RRPT Hydro’s patented piston-driven system could reshape the physics, economics, and deployment model of clean energy.

At this year’s Data Center Frontier Trends Summit, Honghai Song, founder of Canyon Magnet Energy, presented his company’s breakthrough superconducting magnet technology during the “6 Moonshot Trends for the 2026 Data Center Frontier” panel—showcasing how high-temperature superconductors (HTS) could reshape both fusion energy and AI data-center power systems. In this episode of the Data Center Frontier Show, Editor in Chief Matt Vincent speaks with Song about how Canyon Magnet Energy—founded in 2023 and based in New Jersey and Stony Brook University—is bridging fusion research and AI infrastructure through next-generation magnet and energy-storage technology. Song explains how HTS magnets, made from REBCO (Rare Earth Barium Copper Oxide), operate at 77 Kelvin with zero electrical resistance, opening the door to new kinds of super-efficient power transmission, storage, and distribution. The company’s SMASH (Superconducting Magnetic Storage Hybrid) system is designed to deliver instant bursts of energy—within milliseconds—to stabilize GPU-driven AI workloads that traditional batteries and grids can’t respond to fast enough. Canyon Magnet Energy is currently developing small-scale demonstration projects pairing SMES systems with AI racks, exploring integration with DC power architectures and liquid-cooling infrastructure. The long-term roadmap envisions multi-mile superconducting DC lines connecting renewables to data centers—and ultimately, fusion power plants providing virtually unlimited clean energy. Supported by an NG Accelerate grant from New Jersey, the company is now seeking data-center partners and investors to bring these technologies from the lab into the field.

Who is Packet Power? Since 2008, Packet Power has been at the forefront of energy and environmental monitoring, pioneering wireless solutions that helped define the modern Internet of Things (IoT). Built on the belief that energy is the new cost frontier of computation, Packet Power enables organizations to understand exactly where, when, and how energy is used—and at what cost. As AI-driven workloads push energy demand to record levels, Packet Power’s mission of complete energy traceability has never been more critical. Their systems are trusted worldwide for providing secure, out-of-band monitoring that remains fully independent of operational data networks.   Introducing the All-New High-Density Power Monitor Packet Power’s newest innovation, the High-Density Power Monitor, is redefining what’s possible in energy monitoring. At just under 6 cubic inches, it’s the smallest and most scalable multi-circuit power monitoring system on the market, capable of tracking 120 circuits in a space smaller than what’s inside a standard light switch. The High-Density Power Monitor eliminates bulky hardware, complex wiring, and lengthy installations. It’s plug-and-play simple, seamlessly integrates with Packet Power’s EMX software or any third-party monitoring platform, and supports both wired and wireless connectivity—including secure, air-gapped environments.   Solving the Challenges of Modern Power Monitoring The High-Density Power Monitor is engineered for the next generation of high-performance systems and facilities. It tackles five key challenges: Power Density: Monitors high-load environments with unmatched precision. Circuit Density: Tracks more circuits per module than any competitor. Physical Density: Fits anywhere, from PDUs to sub-panels to embedded devices. Installation Simplicity: Snaps into place—no tools, no complexity. Connection Flexibility: Wireless, wired, LAN, cloud, or cellular—you can mix and match freely. Whether managing a single rack or thousands of devices, Packet Power ensures monitoring 1 device is as easy as monitoring 1,000.   Why It Matters Now Today’s computing environments are experiencing an energy density arms race—with systems consuming megawatts of power in a single cabinet. New cooling methods, extreme power densities, and evolving form factors demand monitoring solutions that can keep up. Packet Power’s new High-Density Power Monitor meets that challenge head-on, offering the scalability, adaptability, and visibility needed to manage energy use in the AI era.   Perfect for Any Application This solution is ideal for: High-density servers and compute cabinets Distribution panels, PDUs, and busway components Embedded monitoring in OEM systems Large-scale deployments requiring fleet-level simplicity + more! Whether new installations or retrofitting existing buildings, Packet Power systems deliver vendor-agnostic integration and proven scalability with unmatched turn times and products Made in the USA for BABA compliance.   Learn More! Discover the true meaning of small & mighty:  👉 Visit PacketPower.com/high-density-power-monitor   📧 Contact sales@packetpower.com

In this episode of The Data Center Frontier Show, DCF Editor-in-Chief Matt Vincent talks with Yuval Boger, Chief Commercial Officer at QuEra Computing, about the fast-evolving intersection of quantum and AI-accelerated supercomputing. QuEra, a Boston-based pioneer in neutral-atom quantum computers, recently expanded its $230 million funding round with new investment from NVentures (NVIDIA’s venture arm) and announced a Nature-published breakthrough in algorithmic fault tolerance that dramatically cuts runtime overhead for error-corrected quantum algorithms. Boger explains how QuEra’s systems, operating at room temperature and using identical rubidium atoms as qubits, offer scalable, power-efficient performance for HPC and cloud environments. He details the company's collaborations with NVIDIA, AWS, and global supercomputing centers integrating quantum processors alongside GPUs, and outlines why neutral-atom architectures could soon deliver practical, fault-tolerant quantum advantage. Listen as Boger discusses QuEra’s technology roadmap, market position, and the coming inflection point where hybrid quantum-classical systems move from the lab into the data center mainstream.

Matt Vincent, Editor-in-Chief of Data Center Frontier, sits down with Angela Capon, Vice President of Marketing at EdgeConneX, to discuss the groundbreaking collaboration between EdgeConneX and the Duke of Edinburgh's International Award Program. 

Charting the Future of AI Storage Infrastructure In this episode, Solidigm Director of Strategic Planning Brian Jacobosky guides listeners through a tech-forward conversation on how storage infrastructure is helping redefine the AI-era data center. The discussion frames storage as more than just a cost factor; it's also a strategic building block for performance, efficiency, and savings. Storage Moves to the Center of AI Data Infrastructure Jacobosky explains how, in the AI-driven era, storage is being elevated from a forgotten metric like “dollars per gigabyte” to a core priority: maximizing GPU utilization, managing soaring power draw, and unlocking space savings. He illustrates how every watt and every square inch counts. As GPU compute scales dramatically, storage efficiency is being engineered to enable maximum density and throughput. High-Capacity SSDs as a Game-Changer Jacobosky spotlights Solidigm D5-P5336 122TB SSDs as emblematic of the shift. Rather than a simple technical refresh, these drives represent a tectonic realignment in how data centers are being designed for huge capacity and optimized performance. With all-flash deployments offering up to nine times the space savings compared to hybrid architectures, Jacobosky underscores how SSD density can enable more GPU scale within fixed power and space budgets. This could even unlock achieving a 1‑petabyte SSD by the end of the decade. Embedded Efficiency The episode brings environmental considerations to the forefront. Jacobosky shares how an “all‑SSD” strategy can dramatically slash physical footprints as well as energy consumption. From data center buildout through end of lifecycle drive retirement, efficiency is driving both operational cost savings and ESG benefits — helping reduce concrete and steel usage, power draw, and e‑waste. Pioneering Storage Architectures and Cooling Innovation Listeners learn how AI-first innovators like Neo Cloud-style providers and sovereign AI operators lead the charge in deploying next-generation storage. Jacobosky also previews the Solidigm PS-1010 E1.S form factor, an NVIDIA fanless server solution that enables direct‑to‑chip Cold-Plate-Cooled SSDs integrated into GPU servers. He predicts that this systems-level integration will become a standard for high-density AI infrastructure. Storage as a Strategic Investment Solidigm challenges the notion that high-capacity storage is cost prohibitive. Within the framework of the AI token economy, Jacobosky explains that the true measure becomes minimizing cost per token and time to first token and, when storage is optimized for performance, capacity, and efficiency, the total cost of ownership (TCO) will often prove favorable after the first evaluation. Looking Ahead: Memory Wall, Inference Workloads, Liquid Cooling Jacobosky ends with a look ahead to where storage innovation will lead in the next five years. As AI models grow in size and complexity, he argues, storage is increasingly acting as an extension of memory, breaking through the “memory wall” for large inference workloads. Companies will design infrastructure from the ground up with liquid-cooling, future-scalable storage, and storage that supports massive model deployments without compromising latency. This episode is essential listening for data center architects, AI infrastructure strategists, and sustainability leaders looking to understand how storage is fast-becoming a defining factor in AI-ready data centers of the future.

Buddy Rizer, Executive Director of Loudoun County Economic Development, and Lila Jaber, founder of Florida’s Women in Energy Leadership Forum, dive into Florida's exciting rise as a data center hub. They discuss Florida's energy advantages, including excess capacity and proactive utilities, which set it apart from areas like Loudoun County. The duo also highlights Florida’s attractive tax incentives, its strategic location for Latin American connectivity, and how local universities are gearing up to provide top tech talent for future growth.

This podcast explores the rapidly evolving thermal and water challenges facing today’s data centers as AI workloads push rack densities to unprecedented levels. The discussion highlights the risks and opportunities tied to liquid cooling—from pre-commissioning practices and real-time monitoring to system integration and water stewardship. Ecolab’s innovative approaches to thermal management can not only solve operational constraints but also deliver competitive advantage by improving efficiency, reducing resource consumption, and strengthening sustainability commitments.

Join Bill Tierney of The Data Center Construction Alliance, as he discusses some of the emerging challenges facing data center development today. Topics will include how increasing collaboration between OEMs, owners, contractors, and sub-contractors is leading to some exciting and innovative solutions in the design and construction of data centers. He will also share some examples of how collaboration has led to new ideas and methodologies in the field. 

AI networks are driving dramatic changes in data center design, especially around power, cooling, and connectivity. Modern GPU-powered AI data centers require far more energy and generate much more heat than traditional CPU-based setups, pushing cabinets to new power densities and necessitating advanced cooling solutions like liquid direct-to-chip cooling. These environments also demand significantly more fiber cabling to handle increased data flows, with deeper cabinets and complex layouts that make traditional rear-access cabling impractical.