In simplest terms, edge computing is computing work that needs to be done, but not work that's important or urgent enough to be handled by a personal device like a smartphone or laptop, yet also work ...

In the modern AI datacenter – really, a data galaxy at this point because AI processing needs have broken well beyond the ...

AI models are data-movement limited, so the Salience switch enables all optical networking between compute nodes, removing ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Abstract: Along with the prevalence of smart vehicles, new computation-intensive and delay-sensitive applications are booming, but on-board devices often lack sufficient communication bandwidth, ...

Want to call someone a quick-thinker? The easiest cliché for doing so is calling her a computer – in fact, “computers” was the literal job title of the “Hidden Figures” mathematicians who drove the ...

Cloud vs edge computing represents a fundamental shift in how organizations manage, store, and process data. While traditional cloud computing centralizes massive computing resources in data centers, ...

Nvidia is quietly positioning itself at the center of quantum computing by linking today’s fastest AI GPUs with early quantum processors through its new NVQLink and CUDA-Q systems. This hybrid ...

Artificial Intelligence (AI), data analytics, and high-performance computing (HPC) are transforming industries such as healthcare, finance, and manufacturing. These workloads rely on distributed ...

Bandwidth offers a compelling value opportunity as the market overlooks its strong Q3 performance and improving fundamentals. BAND is capitalizing on AI voice agents, rising net retention rates, and a ...