Data Center Frontier

The Hidden Cost of Dirty Air: How Contamination Threatens AI and HPC Data Centers, a new special report featuring Promera, explores how the convergence of air and liquid cooling, intelligent environmental monitoring, and continuous airflow management is redefining performance in AI-ready data centers. Check out our recent article series focused on the special report: What Are Your Servers Breathing?

Penguin Solutions MemoryAI KV cache server, an 11TB memory appliance, enables efficient deployment of enterprise-scale AI inference Penguin Solutions, Inc. (Nasdaq: PENG), the AI factory platform company, today announced the industry's first production-ready KV cache server that utilizes CXL memory technology to address the critical "memory wall" challenge in AI inferencing—Penguin Solutions MemoryAI™ KV cache server.

Lauren Santander Pearson, Global Director of Content & Campaign Strategy, Digital Realty RESTON, VA — April 9, 2026 — Data Center Frontier today announced that Lauren Santander Pearson has joined the Editorial Advisory Board (EAB) for the Data Center Frontier Trends Summit, the publication’s flagship event focused on the future of AI infrastructure, power, and digital development.

AUSTIN, TX (April 8, 2026) — As Texas lawmakers examine the future of data center development, national security, and grid reliability, Kirk Offel, CEO of Overwatch Mission Critical, will deliver invited testimony before the Texas House Committee on State Affairs this Thursday.

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.

We conclude our article series on the evolution of data center airflow management. This week, we’ll outline the path forward and why the real competitive advantage lies in designing facilities that do not just move air but understand it. Download the entire report. The workloads shaping our digital future bear little resemblance to those of the past.

Liquid cooling has an adoption problem, and it isn't technical. The industry has spent the last two years framing the cooling conversation as a binary choice: keep running air or commit to a full direct-to-chip liquid cooling deployment. That framing makes for clean conference slides, but it ignores the reality facing most operators today. The majority of data center environments are not greenfield builds with uniform rack densities and a single GPU architecture across every row.

Nashville, TN – April 3, 2026 EndeavorB2B announces the retirement of Sharon Vollman from her role as ISE EXPO Content Ambassador, effective April 9, 2026. For nearly 30 years, Sharon has been at the heart of the ISE brand. She has seen it evolve from Outside Plant to OSP to ISE and ultimately to ISE EXPO, leaving her mark at every stage along the way. Through her deep relationships, credibility, and unwavering commitment, she helped build the trust the industry has in ISE today.

Unlock potential in your thermal management strategy by multiplying performance. This one-stop-shop capabilities piece details Trane's collaborative approach to smarter scaling for future-ready operations. Explore how Trane empowers data centers to stay ahead in a rapidly evolving AI digital world. This overview highlights innovative cooling technologies designed to handle growing compute demands while boosting efficiency and reliability.

AI growth is driving demand for high‑performance data centers. This whitepaper explores how rising energy and water use along with the shift to liquid cooling present the need to reassess whether PUE and WUE remain the best efficiency metrics relative to compute power. As AI usage increases, the demand for high-performance data centers has surged. These data centers are the backbone of AI applications, providing the necessary computational power to process vast amounts of data.