At KloudPortal, we partner with global capability centers (GCCs) and technology enterprises to own and deliver their data ...

Parallel Data Lab researchers Henggang Cui, engineering manager at Latitude AI and a Carnegie Mellon University electrical and computer engineering alumnus; Hao Zhang, a postdoctoral researcher at ...

Meren Energy Inc. ("Meren" or the "Company") today published its financial and operating results for the three months ...

Data centers may be coming to your neighborhood as side installations associated with new homes—and in exchange would offer ...

Abstract: In this paper, we propose a novel distributed data-driven optimization scheme. In particular, we focus on the so-called aggregative framework, namely, the scenario in which a set of agents ...

Microsoft’s Fairwater project in Wisconsin represents a bold new template for hyperscale AI infrastructure. Designed as a single, unified supercomputer and linked through Microsoft’s global AI WAN, ...

Modeling energy growth associated with data centers and smart integration through load flexibility and real-time coordination unlocks a new frontier in grid modernization. Oak Ridge National ...

As many Americans weigh the costs and benefits of building large data centers for artificial intelligence and other digital information, two New York Democrats urged the state to ...

Ethernet is no longer a generic plumbing choice but an enabler of high-performance AI. With today’s unveiling of Multipath ...

In this gigascale environment, a data center cannot be a static asset. It must function as a dynamic platform.​ ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing. Organizations are modernizing AI data center infrastructure with GPU computing, ...

Google DeepMind unveiled a way to train advanced AI models across distributed data centers. Known as decoupled distributed low-communication (DiLoCo), the architecture isolates local disruptions such ...