Against a backdrop of insatiable demand for compute, Web3 principles and technologies offer enterprises transparent, flexible ...

Providers of modular, behind-the-meter power generation are gaining a substantial foothold in the race to energize large load ...

AI workloads are breaking traditional storage, and without faster, more reliable data systems, even the most powerful GPUs ...

Managed IT environments often integrate security as a core operational function, including endpoint protection, access ...

Ending a year in which it celebrated its fifth birthday, the Innovative Optical and Wireless Network project releases details ...

Carbon nanotubes are moving from lab curiosities to workhorse components in quantum hardware, and one of the most striking examples is their use as single-photon light sources. By exploiting their ...

Neel Somani, a researcher and technologist with a strong foundation in computer science from the University of California, Berkeley, focuses on advancements of distributed computing across personal ...

With Render Network, filmmakers in Artechouse's Submerge exhibit in NYC can tap into massive GPU power—turning highly ambitious concepts into vivid reality. I'm the Executive Editor, Features & ...

Abstract: Coded distributed computing can reduce the communication load for distributed computing systems by introducing redundant computation and creating multicasting opportunities. However, the ...

Today’s energy landscape demands fundamental transformation. Utilities face multiple challenges: aging infrastructure, increasingly complex grid environments, integrating renewable energy sources, and ...

The recent emergence of DeepSeek’s remarkably cost-efficient large language models has sent shockwaves through the AI industry, not just for what it achieved, but for how efficiently it achieved it.

As artificial intelligence (AI) usage and sophistication grows, questions about the sustainability of the traditional model of utilizing huge, centralized data centers are frequently raised.