For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving toward a world of distributed data centers.

The modern workforce is no longer bound by location, time zone, or corporate networks. Data engineers, analysts, and business users now access critical systems from home offices, shared workspaces, ...

Biocon Chairperson Kiran Mazumdar-Shaw noted that biological systems function like distributed data centres, processing information with minimal energy compared to gigawatt-powered AI systems.

The Database Management System (DBMS) market is primarily driven by the rapid growth of data generated across enterprises, ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...

Why is edge computing critical for Web3 infrastructure? Know how local data processing reduces latency, improves scalability, and strengthens privacy in decentralized apps.

Arunkumar Sambandam's research optimizes distributed systems by enhancing request completion time, latency, and resource ...

When millions click at once, auto-scaling won’t save you — smart systems survive with load shedding, isolation and lots of brutal game-day drills.

The New Jersey Board of Public Utilities ordered utilities to explain solar delays as AI data centers drive power demand and ...

OroraTech, the global leader in thermal intelligence, has appointed Dr. Ignacio Zuleta as chief technology and product officer (CTPO). In this role, he ...