Why Liquid Cooling for Edge Is Now Essential

Why Liquid Cooling for Edge Is Now Essential As artificial intelligence (AI) and high-performance computing (HPC) continue to evolve, they are placing unprecedented demands on data center infrastructure, especially at the edge. One of the... Read More
Perhaps the most pressing infrastructure challenge at the edge is thermal management. The rise of AI and other high-performance computing (HPC) applications is driving a dramatic increase in server and rack power densities. The industry average for a data center rack is rapidly moving from 10 kW towards 20 kW, with high-density AI deployments pushing well beyond 40 kW and even approaching 100 kW per rack. This level of heat generation is pushing traditional air-cooling methods to their absolute limits.

Why Software-Defined Power for Edge Is a Game Changer

Why Software-Defined Power for Edge Is a Game Changer As edge computing continues to expand, the need for smarter, more adaptive infrastructure becomes increasingly critical. One of the most transformative innovations in this space is Software-Defined... Read More
Software-Defined Power (SDP) is a transformative technology that is particularly well-suited to the dynamic and automated nature of edge computing. Defined by the Uptime Institute as a layer of abstraction that makes it easier to continuously match power resources with changing data center needs, SDP moves power management from a static, hardware-based function to a dynamic, software-controlled one.

Top Edge Data Center Drivers in 2025

As digital transformation accelerates and data volumes explode, edge computing is no longer a niche concept—it’s a necessity. While market forces and power availability often dominate the conversation, there are deeper, more technical forces at... Read More
Beyond market forces and power availability, the adoption of edge data centers is propelled by three fundamental technical and regulatory drivers.

The Symbiotic Growth of AI and Edge Infrastructure

The Symbiotic Growth of AI and Edge Infrastructure The convergence of AI and edge infrastructure is not just a technological coincidence—it’s a powerful, mutually reinforcing relationship that is reshaping the digital landscape. As artificial intelligence (AI) becomes... Read More
The relationship between Artificial Intelligence and edge computing is not merely correlational; it is a powerful, symbiotic feedback loop that accelerates the growth of both domains. On the one hand, AI is a primary demand driver for edge infrastructure. The need for real-time inferencing—making decisions based on live data—in applications like autonomous systems, smart retail, and industrial automation requires the low-latency processing that only edge deployments can provide.